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This paper is the first to conduct an incentive-compatible experiment using real monetary payoffs to test the hypothesis of probabilistic insurance which states that willingness to pay for insurance decreases sharply in the presence of even small default probabilities as compared to a risk-free insurance contract. In our experiment, 181 participants state their willingness to pay for insurance contracts with different levels of default risk. We find that the willingness to pay sharply decreases with increasing default risk. Our results hence strongly support the hypothesis of probabilistic insurance. Furthermore, we study the impact of customer reaction to default risk on an insurer’s optimal solvency level using our experimentally obtained data on insurance demand. We show that an insurer should choose to be default-free rather than having even a very small default probability. This risk strategy is also optimal when assuming substantial transaction costs for risk management activities undertaken to achieve the maximum solvency level.
This dissertation consists of three essays, which study the implication of financial frictions in business cycles and monetary policy making. The first essay develops a Dynamic Stochastic General Equilibrium (DSGE) model to study how the instability of the banking sector can amplify and propagate business cycles. Model simulations show that in an economic down turn, in addition to credit demand contraction induced by low firm net worth, low bank capital
position can create strong credit supply contraction, and have a quantitatively significant effect on business cycle dynamics. The second essay studies the optimal Taylor-type monetary policy rules based on the model developed in the first chapter and find that with interest rate smoothing, 'leaning against the wind' can significantly dampen the procyclicality of financial distortions, and increase the welfare of the economy. The third chapter examines the role of households frugality in a financial crisis and finds that higher savings by more frugal households provide an important cushion for the fall in private investment funding.
Highlights
• Pathways for a circular economy towards the EU goals require policy support that, in turn, requires legitimacy.
• Legitimacy is often contested in the public discourse at all phases in the technological innovation system.
• Legitimacy remains poorly understood for ‘in-between’ technologies that struggle to move from the formative to the growth stage.
• The article explores legitimacy for chemical recycling primarily based on evidence from the UK, Germany, and Italy.
Abstract
The European Commission aims to increase the recycling of plastic packaging to 60% by 2025, requiring fundamental changes towards a more circular economy. Pathways for this transition require policy support that largely depends on their legitimacy in the public discourse. These normative aspects remain poorly understood for ‘in-between’ technologies, i.e., technologies that are no longer novel but struggle to move to the growth phase within the technological innovation system. Therefore, we ask: How do discourses shape technology legitimacy for in-between technologies? Drawing on the empirical example of chemical recycling, the analysis renders two principal findings. First, legitimising and delegitimising storylines present contesting views on in-between technologies regarding their technological aspects, environmental and social impacts, and economic and policy implications. Second, how discourses contribute to technology legitimacy depends on the actors and interests that drive the prevalent storylines in particular contexts.
Biodiversity loss poses a significant threat to the global economy and affects ecosystem services on which most large companies rely heavily. The severe financial implications of such a reduced species diversity have attracted the attention of companies and stakeholders, with numerous calls to increase corporate transparency. Using textual analysis, this study thus investigates the current state of voluntary biodiversity reporting of 359 European blue-chip companies and assesses the extent to which it aligns with the upcoming disclosure framework of the Task Force on Nature-related Financial Disclosures (TNFD). The descriptive results suggest a substantial gap between current reporting practices and the proposed TNFD framework, with disclosures largely lacking quantification, details and clear targets. In addition, the disclosures appear to be relatively unstandardized. Companies in sectors or regions exposed to higher nature-related risks as well as larger companies are more likely to report on aspects of biodiversity. This study contributes to the emerging literature on nature-related risks and provides detailed insights on the extent of the reporting gap in light of the upcoming standards.
Contemporary information systems make widespread use of artificial intelligence (AI). While AI offers various benefits, it can also be subject to systematic errors, whereby people from certain groups (defined by gender, age, or other sensitive attributes) experience disparate outcomes. In many AI applications, disparate outcomes confront businesses and organizations with legal and reputational risks. To address these, technologies for so-called “AI fairness” have been developed, by which AI is adapted such that mathematical constraints for fairness are fulfilled. However, the financial costs of AI fairness are unclear. Therefore, the authors develop AI fairness for a real-world use case from e-commerce, where coupons are allocated according to clickstream sessions. In their setting, the authors find that AI fairness successfully manages to adhere to fairness requirements, while reducing the overall prediction performance only slightly. However, they find that AI fairness also results in an increase in financial cost. Thus, in this way the paper’s findings contribute to designing information systems on the basis of AI fairness.
With free delivery of products virtually being a standard in E-commerce, product returns pose a major challenge for online retailers and society. For retailers, product returns involve significant transportation, labor, disposal, and administrative costs. From a societal perspective, product returns contribute to greenhouse gas emissions and packaging disposal and are often a waste of natural resources. Therefore, reducing product returns has become a key challenge. This paper develops and validates a novel smart green nudging approach to tackle the problem of product returns during customers’ online shopping processes. We combine a green nudge with a novel data enrichment strategy and a modern causal machine learning method. We first run a large-scale randomized field experiment in the online shop of a German fashion retailer to test the efficacy of a novel green nudge. Subsequently, we fuse the data from about 50,000 customers with publicly-available aggregate data to create what we call enriched digital footprints and train a causal machine learning system capable of optimizing the administration of the green nudge. We report two main findings: First, our field study shows that the large-scale deployment of a simple, low-cost green nudge can significantly reduce product returns while increasing retailer profits. Second, we show how a causal machine learning system trained on the enriched digital footprint can amplify the effectiveness of the green nudge by “smartly” administering it only to certain types of customers. Overall, this paper demonstrates how combining a low-cost marketing instrument, a privacy-preserving data enrichment strategy, and a causal machine learning method can create a win-win situation from both an environmental and economic perspective by simultaneously reducing product returns and increasing retailers’ profits.
By focusing on the cost conditions at issuance, I find that not only the Covid-19 pandemic effects were different across bonds and firms at different stages, but also that the market composition was significantly affected, collapsing on investment- grade bonds, a segment in which the share of bonds eligible to the ECB corporate programmes strikingly increased from 15% to 40%. At the same time the high-yield segment shrunk to almost disappear at 4%. In addition to a market segmentation along the bond grade and the eligibility to the ECB programmes, another source of risk detected in the pricing mechanism is the weak resilience to pandemic: the premium requested is around 30 basis points and started to be priced only after the early containment actions taken by the national authorities. On the contrary, I do not find evidence supporting an increased risk for corporations headquartered in countries with a reduced fiscal space, nor the existence of a premium in favour of green bonds, which should be the backbone of a possible “green recovery”.
We assess the degree of market fragmentation in the euro-area corporate bond market by disentangling the determinants of the risk premium paid on bonds at origination. By looking at over 2,400 bonds we are able to isolate the country-specific effects which are a suitable indicator of the market fragmentation. We find that, after peaking during the sovereign debt crisis, fragmentation shrank in 2013 and receded to pre-crisis levels only in 2014. However, the low level of estimated market fragmentation is coupled with a still high heterogeneity in actual bond yields, challenging the consistency of the new equilibrium.
We analyze the risk premium on bank bonds at origination with a special focus on the role of implicit and explicit public guarantees and the systemic relevance of the issuing institutions. By looking at the asset swap spread on 5,500 bonds, we find that explicit guarantees and sovereign creditworthiness have a substantial effect on the risk premium. In addition, while large institutions still enjoy lower issuance costs linked to the TBTF framework, we find evidence of enhanced market disciple for systemically important banks which face, since the onset of the financial crisis, an increased premium on bond placements.
Unconventional green
(2023)
We analyze the effects of the PEPP (Pandemic Emergency Purchase Programme), the temporary quantitative easing implemented by the ECB immediately after the burst of the Covid-19 pandemic. We show that the differences in aim, size and flexibility with respect to the traditional Corporate Sector Purchase Programme (CSPP) were able to significantly involve, in addition to the directly targeted bonds, also the green bond segment. Via a standard difference- in-differences model we estimate that the yield on green bonds declined by more than 20 basis points after the PEPP. In order to take into account also the differences attributable to the eligibility to the programme, we employ a triple difference estimator. Bonds that at the same time were green and eligible benefitted of an additional premium of 39 basis points.
Chen and Zadrozny (1998) developed the linear extended Yule-Walker (XYW) method for determining the parameters of a vector autoregressive (VAR) model with available covariances of mixed-frequency observations on the variables of the model. If the parameters are determined uniquely for available population covariances, then, the VAR model is identified. The present paper extends the original XYW method to an extended XYW method for determining all ARMA parameters of a vector autoregressive moving-average (VARMA) model with available covariances of single- or mixed-frequency observations on the variables of the model. The paper proves that under conditions of stationarity, regularity, miniphaseness, controllability, observability, and diagonalizability on the parameters of the model, the parameters are determined uniquely with available population covariances of single- or mixed-frequency observations on the variables of the model, so that the VARMA model is identified with the single- or mixed-frequency covariances.
Linear rational-expectations models (LREMs) are conventionally "forwardly" estimated as follows. Structural coefficients are restricted by economic restrictions in terms of deep parameters. For given deep parameters, structural equations are solved for "rational-expectations solution" (RES) equations that determine endogenous variables. For given vector autoregressive (VAR) equations that determine exogenous variables, RES equations reduce to reduced-form VAR equations for endogenous variables with exogenous variables (VARX). The combined endogenous-VARX and exogenous-VAR equations comprise the reduced-form overall VAR (OVAR) equations of all variables in a LREM. The sequence of specified, solved, and combined equations defines a mapping from deep parameters to OVAR coefficients that is used to forwardly estimate a LREM in terms of deep parameters. Forwardly-estimated deep parameters determine forwardly-estimated RES equations that Lucas (1976) advocated for making policy predictions in his critique of policy predictions made with reduced-form equations.
Sims (1980) called economic identifying restrictions on deep parameters of forwardly-estimated LREMs "incredible", because he considered in-sample fits of forwardly-estimated OVAR equations inadequate and out-of-sample policy predictions of forwardly-estimated RES equations inaccurate. Sims (1980, 1986) instead advocated directly estimating OVAR equations restricted by statistical shrinkage restrictions and directly using the directly-estimated OVAR equations to make policy predictions. However, if assumed or predicted out-of-sample policy variables in directly-made policy predictions differ significantly from in-sample values, then, the out-of-sample policy predictions won't satisfy Lucas's critique.
If directly-estimated OVAR equations are reduced-form equations of underlying RES and LREM-structural equations, then, identification 2 derived in the paper can linearly "inversely" estimate the underlying RES equations from the directly-estimated OVAR equations and the inversely-estimated RES equations can be used to make policy predictions that satisfy Lucas's critique. If Sims considered directly-estimated OVAR equations to fit in-sample data adequately (credibly) and their inversely-estimated RES equations to make accurate (credible) out-of-sample policy predictions, then, he should consider the inversely-estimated RES equations to be credible. Thus, inversely-estimated RES equations by identification 2 can reconcile Lucas's advocacy for making policy predictions with RES equations and Sims's advocacy for directly estimating OVAR equations.
The paper also derives identification 1 of structural coefficients from RES coefficients that contributes mainly by showing that directly estimated reduced-form OVAR equations can have underlying LREM-structural equations.
Having a gatekeeper position in a collaborative network offers firms great potential to gain competitive advantages. However, it is not well understood what kind of collaborations are associated with such a position. Conceptually grounded in social network theory, this study draws on the resource-based view and the relational factors view to investigate which types of collaboration characterize firms that are in a gatekeeper position, which ultimately could improve firm performance in subsequent periods. The empirical analysis utilizes a unique longitudinal data set to examine dynamic network formation. We used a data crawling approach to reconstruct collaboration networks among the 500 largest companies in Germany over nine years and matched these networks with performance data. The results indicate that firms in gatekeeper positions often engage in medium-intensity collaborations and less likely weak-intensity collaborations. Strong-intensity collaborations are not related to the likelihood of being a gatekeeper. Our study further reveals that a firm's knowledge base is an important moderator and that this knowledge base can increase the benefits of having a gatekeeper position in terms of firm performance.
I propose a dynamic stochastic general equilibrium model in which the leverage of borrowers as well as banks and housing finance play a crucial role in the model dynamics. The model is used to evaluate the relative effectiveness of a policy to inject capital into banks versus a policy to relieve households of mortgage debt. In normal times, when the economy is near the steady state and policy rates are set according to a Taylor-type rule, capital injections to banks are more effective in stimulating the economy in the long-run. However, in the middle of a housing debt crisis, when households are highly leveraged, the short-run output effects of the debt relief are more substantial. When the zero lower bound (ZLB) is additionally considered, the debt relief policy can be much more powerful in boosting the economy both in the short-run and in the longrun. Moreover, the output effects of the debt relief become increasingly larger, the longer the ZLB is binding.
The first part of the following paper deals with varying points of criticism forwarded against Ordoliberalism. Here, it is not the aim to directly falsify each argument on its own; rather, the author tries to give a precise overview of the spectrum of critique. The second section picks out one argument of critical review – namely that the ordoliberal concept of the state is somewhat elitist and grounded on intellectual experts. Based on the previous sections, the final part differentiates two kinds of genesis of norms: an evolutionary and an elitist one – both (latently) present within Ordoliberalism. In combination with the two-level differentiation between individual and regulatory ethics, the essay allows for a distinction between individual-ethical norms based on an evolutionary genesis of norms and regulatory-ethical norms based on an elitist understanding of norms. A by-product of the author’s argument is a (further) demarcation within neoliberalism.
Based on Foucault’s analysis of German Neoliberalism and his thesis of ambiguity, the following paper draws a two-level distinction between individual and regulatory ethics. The individual ethics level – which has received surprisingly little attention – contains the Christian foundation of values and the liberal-Kantian heritage of so called Ordoliberalism – as one variety of neoliberalism. The regulatory or formal-institutional ethics level on the contrary refers to the ordoliberal framework of a socio-economic order. By differentiating these two levels of ethics incorporated in German Neoliberalism, it is feasible to distinguish dissimilar varieties of neoliberalism and to link Ordoliberalism to modern economic ethics. Furthermore, it allows a revision of the dominant reception of Ordoliberalism which focuses solely on the formal-institutional level while mainly neglecting the individual ethics level.
June 4th, 2013 marks the formal launch of the third generation of the Equator Principles (EP III) and the tenth anniversary of the EPs – enough reasons for evaluating the EPs initiative from an economic ethics and business ethics perspectives. In particular, this essay deals with the following questions: What are the EPs and where are they going? What has been achieved so far by the EPs? What are the strengths and weaknesses of the EPs? Which necessary reform steps need to be adopted in order to further strengthen the EPs framework? Can the EPs be regarded as a role-model in the field of sustainable finance and CSR? The paper is structured as follows: The first chapter defines the term EPs and introduces the keywords related to the EPs framework. The second chapter gives a brief overview of the history of the EPs. The third chapter discusses the Equator Principles Association, the governing, administering, and managing institution behind the EPs. The fourth chapter summarizes the main features and characteristics of the newly released third generation of the EPs. The fifth chapter critically evaluates the EP III from an economic ethics and business ethics perspectives. The paper concludes with a summary of the main findings.
Freiburg School of Law and Economics, Freiburg (Lehrstuhl-)Tradition and the Genesis of Norms
(2014)
The paper analyzes the parallels and differences between the Freiburg School of Law and Economics represented by the works of Eucken (and Röpke) and the Freiburg (Lehrstuhl-)Tradition represented by the works of Hayek and Vanberg. The parallels are illustrated by making use of the constitutional economics concepts Ordnungspolitik (i.e., order of rules/choices over rules) as well as freedom of privileges and discrimination. The differences, which have received surprisingly little attention, include the following aspects: 1. philosophy of science and epistemology, 2. genesis of norms, and 3. political philosophy. The paper tackles these issues in three steps. The second chapter presents Vanberg’s constitutional economics theory with special emphasis on the concepts of citizen sovereignty and normative individualism. The third chapter reviews the ordoliberal concepts of science and the state which are – to a certain degree – elitist and expertocratic, that is, they rely to a considerable degree on intellectual experts (in particular, scientists) being part of the societal elite. The fourth chapter differentiates two kinds of genesis of norms: an evolutionary one and an elitist-expertocratic one allowing for a differentiation between Eucken’s and Röpke’s Ordoliberalism on the on the hand and Vanberg’s Hayekian -- and Buchanan-style constitutional economics approach on the other hand. The paper ends with a summary of the main findings.
Following Foucault's analysis of German Neoliberalism (Ordoliberalism) and his thesis of ambiguity, this paper introduces a two-level distinction between individual and regulatory ethics. In particular, its aim is to reassess the importance of individual ethics in the conceptual framework of Ordoliberalism. The individual ethics of Ordoliberalism is based on the heritage of Judeo-Christian values and the Kantian individual liberty and responsibility. The regulatory or formal-institutional ethics of Ordoliberalism which has so far received most attention on the contrary refers to the institutional and legal framework of a socio-economic order. By distinguishing these two dimensions of ethics incorporated in German Neoliberalism, it is feasible to distinguish different varieties of neoliberalism and to link Ordoliberalism to modern economic ethics.
Variations and disparities between von Hayek and Ordoliberalism can be detected on diverse levels: 1. philosophy of science; 2. setting dissimilar priorities; 3. social philosophy; 4. genesis of norms; and, 5. notion of freedom. Therefore, it is possible to make an important distinction within neoliberalism itself, which contains at least two factions: von Hayek’s evolutionary liberalism, and German Ordoliberalism. The following essay not only takes the neoliberal separation of different varieties as granted; it proceeds further. It focuses on the topic of justice and elaborates the (slightly) differing conceptions of justice within neoliberalism. Thus, the specific contribution of the paper is that it adds a sixth dimension of differences (which is highly interconnected with the differing conceptions of genesis of norms). In this paper, I emphasize the (often neglected) subtle differences between von Hayek, Eucken, Röpke, and Rüstow, with special emphasis on their theories of justice. In this regard, I focus not only on Eucken and von Hayek; in addition, I include the concepts of justice developed by Rüstow and Röpke, as well, and, in consequence, broaden the perspective incorporating Eucken as a member of the Freiburg School of Law and Economics, and Rüstow and Röpke as representatives of Ordoliberalism in the wider sense. The paper tackles these topics in three steps. After briefly examining and discussing the existing literature and providing a literature overview on the decade-long debate on von Hayek and Ordoliberalism, I then describe von Hayek’s conception of commutative justice; particularly, justice of rules and procedures (rather than end-state justice). Then, I examine Eucken’s, Rüstow’s, and Röpke’s theories of justice, which consist of a mixture of commutative and distributive justice. Then, I draw a comparison between the ideas of justice developed by Eucken, Röpke, Rüstow, and von Hayek. The essay ends with a summary of my main findings.
4 June 2013 marked the formal launch of the third generation of the Equator Principles (EP III) and the tenth anniversary of the EPs – enough reasons for evaluating the EPs initiative from an economic ethics and business ethics perspective. This chapter deals with the following questions: What has been achieved so far by the EPs? Which reform steps need to be adopted to further strengthen the EPs framework? Can the EPs be regarded as a role model in the field of sustainable finance and CSR? The first part explains the term EPs and introduces the keywords related to the EPs framework. The second part summarises the main characteristics of the newly-released third generation of the EPs. The third part critically evaluates EP III from an economic ethical and business ethics perspective. The chapter concludes with a summary of the main findings.
As recent newspaper headlines show the topic of patents/patent laws is still heavily disputed. In this paper I will approach this topic from a theoretical-historical and history of economic thought-perspective. In this regard I will link the patent controversy of the nineteenth century with Walter Eucken’s Ordoliberalism – a German version of neoliberalism. My paper is structured as follows: The second chapter provides the reader with a historical introduction. At the heart of this paragraph are the controversy and discourse on patent laws in nineteenth century Europe as well as the pro and contra arguments presented by the anti-patent/free-trade movement respectively by the advocates of patent protection. The focus of my paper is on the struggle for the protection of inventions and innovations in nineteenth century Germany, since Walter Eucken, main representative of the Freiburg School of Law and Economics, picks up the counter-arguments presented in the national debate and in particular by the Kongress deutscher Volkswirthe. The third chapter deals intensively with the question whether patent laws are just ‘nonsense upon stilts’ from an ordoliberal perspective. Here, Eucken’s arguments against the current patent system are elaborated in great detail. The paper ends with a summary of my main findings.
2008/9 sees the 60th anniversary of the German economic and currency reform of June 20, 1948, and the adoption of the Grundgesetz on May 23, 1949, which committed the country to the ideals of a socially committed market economy. Both of these events are important points along the path taken by the Federal Republic of Germany to reach the system of a social market economy. Since the term, Social Market Economy is often used in several different contexts and sometimes to mean contradictory things, we must ask: what exactly does the term social market economy entail? What economic-ethical ideas and theories are behind it? This paper will trace the origins of the social market economy (chapter 2) and explain the central characteristics of the Freiburg School of Economics (chapter 3), one of the main pillars of the social market economy. Central to this paper is the oeuvre of Walter Eucken, one of the leading representatives of the ordoliberal Freiburg School. The aim is to identify socio-political factors of influence and inspiration on his theory of economic policy (chapter 4) and evaluate similarities to the works of Kant, Smith and other economic philosophers. Chapter 5 will seek to elucidate Eucken’s “Program of Liberty”. We shall also allow ourselves a slight diversion to elaborate on the parallels between this work and Kant’s understanding of freedom and autonomy. Chapter 6 deals with Eucken’s dual requirements of an economic and social order (i.e. functioning and humane socio-economic order). In chapter 7, we seek to answer – with considerable reference to Adam Smith – to what extent it can be assumed that self-interest and the common good are mutually compatible. This paper concludes with a few remarks about the topicality of ordoliberalism in relation to modern, German-speaking economic ethics (chapter 8).
By computing a volatility index (CVX) from cryptocurrency option prices, we analyze this market’s expectation of future volatility. Our method addresses the challenging liquidity environment of this young asset class and allows us to extract stable market implied volatilities. Two alternative methods are considered to compute volatilities from granular intra-day cryptocurrency options data, which spans over the COVID-19 pandemic period. CVX data therefore capture ‘normal’ market dynamics as well as distress and recovery periods. The methods yield two cointegrated index series, where the corresponding error correction model can be used as an indicator for market implied tail-risk. Comparing our CVX to existing volatility benchmarks for traditional asset classes, such as VIX (equity) or GVX (gold), confirms that cryptocurrency volatility dynamics are often disconnected from traditional markets, yet, share common shocks.
Editorial : economic competence and financial literacy of young adults – status and challenges
(2016)
In modern society, the ability to deal with financial and economic matters is becoming increasingly important. This is true for both professionals – e.g., in the investment and banking sectors – and for individuals responsible for managing their financial and economic affairs in everyday life (Aprea et al., in press). This ability is generally described as economic competence, economic literacy or financial literacy. Despite the importance of these constructs, there is still a lack of clarity regarding the exact definitions, and specifically, which components they cover in detail. Furthermore, the terms economic competence and financial literacy are only loosely coupled. Economic competence is usually considered to be more comprehensive than financial literacy. However, recent research on financial literacy has followed a broader approach as well. ...
We examine the dynamics of assets under management (AUM) and management fees at the portfolio manager level in the closed-end fund industry. We find that managers capitalize on good past performance and favorable investor perception about future performance, as reflected in fund premiums, through AUM expansions and fee increases. However, the penalties for poor performance or unfavorable investor perception are either insignificant, or substantially mitigated by manager tenure. Long tenure is generally associated with poor performance and high discounts. Our findings suggest substantial managerial power in capturing CEF rents. We also document significant diseconomies of scale at the manager level.
This dissertation introduces in chapter 1 a new comparative approach to model-based research and policy analysis by constructing an archive of business cycle models. It includes many well-known models used in academia and at policy institutions. A computational platform is created that allows straightforward comparisons of models’ implications for monetary and fiscal stabilization policies. Chapter 2 applies business cycle models to forecasting. Several New Keynesian models are estimated on historical U.S. data vintages and forecasts are computed for the five most recent recessions. The extent of forecast heterogeneity for models and professional forecasts is analysed. Chapter 3 extends the forecasting analysis to a long sample and to the evaluation of density forecasts. Weighted forecasts are computed using a variety of weighting schemes. The accuracy of forecasts is evaluated and compared to professional forecasts and forecasts from nonstructural time series methods. Chapter 4 adds a new feature to existing business cycle models. Specifically, a medium-scale New Keynesian model is constructed that allows for strategic complementarities in price-setting. The role of trade integration for monetary policy transmission is explored. A new dimension of the exchange rate channel is highlighted by which monetary policy directly impacts domestic inflation. Chapter 5 tests whether simple symmetric monetary policy rules used in most business cycle models are a sufficient description of reality. I use quantile regressions to estimate policy parameters and find asymmetric reactions to inflation, the output gap and past interest rates.
This paper investigates the accuracy of point and density forecasts of four DSGE models for inflation, output growth and the federal funds rate. Model parameters are estimated and forecasts are derived successively from historical U.S. data vintages synchronized with the Fed’s Greenbook projections. Point forecasts of some models are of similar accuracy as the forecasts of nonstructural large dataset methods. Despite their common underlying New Keynesian modeling philosophy, forecasts of different DSGE models turn out to be quite distinct. Weighted forecasts are more precise than forecasts from individual models. The accuracy of a simple average of DSGE model forecasts is comparable to Greenbook projections for medium term horizons. Comparing density forecasts of DSGE models with the actual distribution of observations shows that the models overestimate uncertainty around point forecasts.
The paper illustrates based on an example the importance of consistency between the empirical measurement and the concept of variables in estimated macroeconomic models. Since standard New Keynesian models do not account for demographic trends and sectoral shifts, the authors proposes adjusting hours worked per capita used to estimate such models accordingly to enhance the consistency between the data and the model. Without this adjustment, low frequency shifts in hours lead to unreasonable trends in the output gap, caused by the close link between hours and the output gap in such models.
The retirement wave of baby boomers, for example, lowers U.S. aggregate hours per capita, which leads to erroneous permanently negative output gap estimates following the Great Recession. After correcting hours for changes in the age composition, the estimated output gap closes gradually instead following the years after the Great Recession.
This paper investigates the accuracy of point and density forecasts of four DSGE models for inflation, output growth and the federal funds rate. Model parameters are estimated and forecasts are derived successively from historical U.S. data vintages synchronized with the Fed’s Greenbook projections. Point forecasts of some models are of similar accuracy as the forecasts of nonstructural large dataset methods. Despite their common underlying New Keynesian modeling philosophy, forecasts of different DSGE models turn out to be quite distinct. Weighted forecasts are more precise than forecasts from individual models. The accuracy of a simple average of DSGE model forecasts is comparable to Greenbook projections for medium term horizons. Comparing density forecasts of DSGE models with the actual distribution of observations shows that the models overestimate uncertainty around point forecasts.
This paper investigates the accuracy of forecasts from four DSGE models for inflation, output growth and the federal funds rate using a real-time dataset synchronized with the Fed’s Greenbook projections. Conditioning the model forecasts on the Greenbook nowcasts leads to forecasts that are as accurate as the Greenbook projections for output growth and the federal funds rate. Only for inflation the model forecasts are dominated by the Greenbook projections. A comparison with forecasts from Bayesian VARs shows that the economic structure of the DSGE models which is useful for the interpretation of forecasts does not lower the accuracy of forecasts. Combining forecasts of several DSGE models increases precision in comparison to individual model forecasts. Comparing density forecasts with the actual distribution of observations shows that DSGE models overestimate uncertainty around point forecasts.
Large companies are increasingly on trial. Over the last decade, many of the world’s biggest firms have been embroiled in legal disputes over corruption charges, financial fraud, environmental damage, taxation issues or sanction violations, ending in convictions or settlements of record-breaking fines, well above the billion-dollar mark. For critics of globalization, this turn towards corporate accountability is a welcome sea-change showing that multinational companies are no longer above the law. For legal experts, the trend is noteworthy because of the extraterritorial dimensions of law enforcement, as companies are increasingly held accountable for activities independent of their nationality or the place of the activities. Indeed, the global trend required understanding the evolution of corporate criminal law enforcement in the United States in particular, where authorities have skillfully expanded its effective jurisdiction beyond its territory. This paper traces the evolution of corporate prosecutions in the United States. Analyzing federal prosecution data, it then shows that foreign firms are more likely to pay a fine, which is on average 6,6 times larger.
One of the motivations for establishing a European banking union was the desire to break the ties with between national regulators and domestic financial institutions in order to prevent regulatory capture. However, supervisory authority over the financial sector at the national level can also have valuable public benefits. The aim of this policy letter is to detail these public benefits in order to counter discussions that focus only on conflicts of interest. It is informed by an analysis of how financial institutions interacted with policy-makers in the design of national bank rescue schemes in response to the banking crisis of 2008. Using this information, it discusses the possible benefits of close cooperation between financial institutions and regulators and analyzes these in the wake of a European banking union.
Both practitioners and academics agree about the importance of price and its direct influenceon consumers’ purchase decision as well as the company profit. In the reality, we rarely see a
single price for a given product. One visit in a store already shows that consumers face many various prices. This strategy of differential prices allows to increase profit but also improves consumers’ situation and increases welfare. A wide range of various price differentiation mechanisms exists on the market which makes price differentiation a very interesting phenomenon. Additionally, market developments constantly allow for new price differentiation applications. In this work, I research a fascinating topic of price differentiation, its various forms
and new application possibilities in changing market areas.
This paper studies the long-run effects of credit market disruptions on real firm outcomes and how these effects depend on nominal wage rigidities at the firm level. I trace out the long-run investment and growth trajectories of firms which are more adversely affected by a transitory shock to aggregate credit supply. Affected firms exhibit a temporary investment gap for two years following the shock, resulting in a persistent accumulated growth gap. I show that affected firms with a higher degree of wage rigidity exhibit a steeper drop in investment and grow more slowly than affected firms with more flexible wages.
During the last years the relationship between financial development and economic growth has received widespread attention in the literature on growth and development. This paper summarises in its first part the results of this research, stressing the growth-enhancing effects of an increased interpersonal re-allocation of resources promoted by financial development. The second part of the paper seeks to identify the determinants of financial development based on Diamond's theory of financial intermediation as delegated monitoring. The analysis shows that the quality of corporate governance of banks is the key factor in financial system development. Accordingly, financial sector reforms in developing countries will only succeed if they strengthen the corporate governance of financial institutions. In this area, financial institution building has an important contribution to make. Paper presented at the First Annual Seminar on New Development Finance held at the Goethe University of Frankfurt, September 22 - October 3, 1997
This dissertation consists of four self-contained chapters in the overlapping fields of industrial organization and organizational economics on the topics pricing, careers and supervision. Each chapter is the result of an independent research project. The dissertation analyzes empirical research topics by exploring novel observational data sets. It sheds light on open questions in the economic profession by extending fundamental models on pricing in the first two chapters and by challenging conventional explanations and methods on careers and supervision in the last two chapters.
- Chapter 1:
The first chapter is based on joint work with Steffen Eibelshäuser. It models price competition among brick-and-mortar retailers with business hours. Specifically, we propose a dynamic model of intraday price competition featuring spatial differentiation and firm size heterogeneity. The model makes detailed predictions concerning equilibrium-pricing patterns. When spatial differentiation is high and consumers cannot easily switch between retailers, equilibrium prices are stable at oligopoly levels. When differentiation is low, equilibrium prices fluctuate in cycles. The shapes of the cycles depend on the level of differentiation and on retailers’ reaction times. When reaction times decrease, the number of price cycles increases. In a second step, we apply the model to the German retail gasoline market. Gasoline retailers have been using digital price tags for decades and fast-paced price competition with more than ten price changes per day is no exception. Our model has successfully predicted the emergence of an additional intraday subcycle in April 2017. Moreover, we were able to confirm several detailed predictions concerning the shape of equilibrium price paths and individual firm behavior. Finally, we calibrate the model using a generalized method of moments. The model fits the data remarkably well, with coefficients of determination ranging from 60% to 80%. We use the fitted model to evaluate a number of policy counterfactuals. Restricting price increases results in higher prices and decreased welfare, leading us to conclude that regulation of dynamic markets is highly complex and can easily backfire.
- Chapter 2:
The second chapter analyzes the price-matching policies of two gasoline retailers. Customers of these retailers that are able to provide evidence of competitors posting lower prices have the ability to claim price matches. As shown in the first chapter, the Edgeworth Cycle model rationalizes price fluctuations in the German gasoline retail market. To determine policy interactions in cycling markets, this chapter extends the classical Edgeworth Cycle model by price-matching. The model predicts that price-matching retailers post higher prices and initiate price increases. The price-consulted firm anticipates this strategy, posts lower prices, and provokes the implementing firm to restore the price more frequently. Consulted stations also anticipate earlier price restoration reactions from implementing stations and, thus, provoke restorations earlier. This effect dominates in welfare calculations, such that price matching has positive welfare implications.
The second part of the chapter tests the hypotheses with price data on the German gasoline retail market. The estimation exploits a discontinuity in the policy-affected retailers. Therefore, the analysis disentangles the competitive effects of implementing and price-consulted market participants in comparison to retailers that are not affected. As predicted, the posted average and minimum prices of one implementing retailer and its consulted competitors increase. For the other price-matching retailer, I find reduced prices that contradict the model. The last part of the chapter relates the empirics to static models and shows that the dynamic component provides previously undiscovered insights.
- Chapter 3:
The third chapter is based on joint work with Emmanuelle Auriol and Guido Friebel. It represents the subtopic of careers in this dissertation. Specifically, the chapter provides the first comprehensive data collection analysis of women’s careers in all European research institutions in the field of economics. Using a web-scraping algorithm that constantly accesses position information on institutions’ websites, we collect a novel data set on researchers in Europe. These details entail information on researchers’ gender obtained by the first name and a face recognition. Similar to survey data on U.S. institutions, we identify a leaky pipeline, as women are less likely to become professors than men are. The situation is very heterogeneous across Europe. The gap is substantially larger in Western and Southern Europe than in Central and Eastern Europe. Furthermore, we identify institutions with a higher research output and a better research-ranking having a systematically lower share of females in full professor positions as well as entry-level positions for Ph.D. graduates. Austria, Belgium, Italy, Portugal, and Spain are the drivers for this correlation. All these results are in line with the “leaky pipeline” hypothesis, in which, over the different stages of a career, the attrition of women is higher than the one of men. We show that the cohort hypothesis arguing that the lag effect between the time of Ph.D. completion and the time of promotion to a full professorship is unable to explain the current low number of females.
- Chapter 4:
The fourth and last chapter "What does Mystery Shopping do?" is based on joint work with Sidney Block, Guido Friebel, Matthias Heinz, and Nick Zubanov. It addresses an auditing practice with a yearly U.S.-turnover of 19.5 billion USD in 2016 (European Society for Opinion and Market Research, 2017: Global Market Research 2017). The term mystery represents the key aspect of the tool. During an anonymous visit, so-called mystery shoppers perform certain predefined tasks such as purchasing a product, asking questions, registering complaints, or behaving in a certain way. Following their visit, the shoppers provide detailed reports about their experiences to the evaluated firms. The chapter investigates whether the practice is suitable to determine employees’ pay. Contrary to the general understanding that firms are able to observe service quality and, in turn, can proxy for business success with mystery shopping, we do not observe mystery-shopping evaluations to correlate positively with firm performance. A decomposition of the evaluation reports indicates that mystery-shopping scores are biased and the shopper’s identity explains up to 20% of the score’s variance. Thus, the shopper’s identity has the largest impact out of all observable characteristics. With the results that mystery-shopping scores are noisy and biased, we conclude that they are not suitable for performance pay in the context of our study. In addition, we show that if the number of observations is sufficiently large, aggregated scores relate to business success. The required number of shops per evaluation period must be, however, larger by a factor between 3 and 30 per evaluated subject. Hence, cost advantages of mystery shopping diminish such that the cost benefits to customer assessments could vanish completely. The current methodology, however, may still be useful for other employee-related purposes like monitoring, which is in line with the policies of the considered firms.
Data is considered the new oil of the economy, but privacy concerns limit their use, leading to a widespread sense that data analytics and privacy are contradictory. Yet such a view is too narrow, because firms can implement a wide range of methods that satisfy different degrees of privacy and still enable them to leverage varied data analytics methods. Therefore, the current study specifies different functions related to data analytics and privacy (i.e., data collection, storage, verification, analytics, and dissemination of insights), compares how these functions might be performed at different levels (consumer, intermediary, and firm), outlines how well different analytics methods address consumer privacy, and draws several conclusions, along with future research directions.
This contribution draws on two recent publications in which the macroeconomic model data base (www.macromodelbase.com) is employed for model comparisons. The comparative approach is used to base policy analysis on a systematic evaluation of the different implications that a certain economic policy can have when submitted to different modeling approaches. In this manner, policy recommendations are more robust to modeling uncertainty. By extending the comparative approach to forecasting, the authors investigate the accuracy of different forecasting models and obtain more reliable mean forecasts.
The recent decline in euro area inflation has triggered new calls for additional monetary stimulus by the ECB in order to counter the threat of a self‐reinforcing deflation and recession spiral. This note reviews the available evidence on inflation expectations, output gaps and other factors driving current inflation through the lens of the Phillips curve. It also draws a comparison to the Japanese experience with deflation in the late 1990s and the evidence from Japan concerning the outputinflation nexus at low trend inflation. The note concludes from this evidence that the risk of a selfreinforcing deflation remains very small. Thus, the ECB best await the impact of the long‐term refinancing operations decided in June that have the potential to induce substantial monetary accommodation once implemented for the first time in September.
In the aftermath of the global financial crisis, the state of macroeconomic modeling and the use of macroeconomic models in policy analysis has come under heavy criticism. Macroeconomists in academia and policy institutions have been blamed for relying too much on a particular class of macroeconomic models. This paper proposes a comparative approach to macroeconomic policy analysis that is open to competing modeling paradigms. Macroeconomic model comparison projects have helped produce some very influential insights such as the Taylor rule. However, they have been infrequent and costly, because they require the input of many teams of researchers and multiple meetings to obtain a limited set of comparative findings. This paper provides a new approach that enables individual researchers to conduct model comparisons easily, frequently, at low cost and on a large scale. Using this approach a model archive is built that includes many well-known empirically estimated models that may be used for quantitative analysis of monetary and fiscal stabilization policies. A computational platform is created that allows straightforward comparisons of models’ implications. Its application is illustrated by comparing different monetary and fiscal policies across selected models. Researchers can easily include new models in the data base and compare the effects of novel extensions to established benchmarks thereby fostering a comparative instead of insular approach to model development.
The global financial crisis and the ensuing criticism of macroeconomics have inspired researchers to explore new modeling approaches. There are many new models that deliver improved estimates of the transmission of macroeconomic policies and aim to better integrate the financial sector in business cycle analysis. Policy making institutions need to compare available models of policy transmission and evaluate the impact and interaction of policy instruments in order to design effective policy strategies. This paper reviews the literature on model comparison and presents a new approach for comparative analysis. Its computational implementation enables individual researchers to conduct systematic model comparisons and policy evaluations easily and at low cost. This approach also contributes to improving reproducibility of computational research in macroeconomic modeling. Several applications serve to illustrate the usefulness of model comparison and the new tools in the area of monetary and fiscal policy. They include an analysis of the impact of parameter shifts on the effects of fiscal policy, a comparison of monetary policy transmission across model generations and a cross-country comparison of the impact of changes in central bank rates in the United States and the euro area. Furthermore, the paper includes a large-scale comparison of the dynamics and policy implications of different macro-financial models. The models considered account for financial accelerator effects in investment financing, credit and house price booms and a role for bank capital. A final exercise illustrates how these models can be used to assess the benefits of leaning against credit growth in monetary policy.
Recent evaluations of the fiscal stimulus packages recently enacted in the United States and Europe such as Cogan, Cwik, Taylor and Wieland (2009) and Cwik and Wieland (2009) suggest that the GDP effects will be modest due to crowding-out of private consumption and investment. Corsetti, Meier and Mueller (2009a,b) argue that spending shocks are typically followed by consolidations with substantive spending cuts, which enhance the short-run stimulus effect. This note investigates the implications of this argument for the estimated impact of recent stimulus packages and the case for discretionary fiscal policy.
This note argues that the European Central Bank should adjust its strategy in order to consider broader measures of inflation in its policy deliberations and communications. In particular, it points out that a broad measure of domestic goods and services price inflation such as the GDP deflator has increased along with the euro area recovery and the expansion of monetary policy since 2013, while HICP inflation has become more variable and, on average, has declined. Similarly, the cost of owner-occupied housing, which is excluded from the HICP, has risen during this period. Furthermore, it shows that optimal monetary policy at the effective lower bound on nominal interest rates aims to return inflation more slowly to the inflation target from below than in normal times because of uncertainty about the effects and potential side effects of quantitative easing.
How to be a good European...
(2010)
Unter der Überschrift "Ich kaufe griechische Staatsanleihen weil..." sollten Persönlichkeiten aus Politik, Wirtschaft und Kultur kurz begründen, warum sie griechische Staatsanleihen gekauft haben bzw. kaufen werden--idealerweise unter Nachweis ihres finanziellen Engagements. Zum jetzigen Zeitpunkt kaufe ich keine griechischen Staatsanleihen...
Product aesthetics is a powerful means for achieving competitive advantage. Yet most studies to date have focused on the role of aesthetics in shaping pre-purchase preferences and have failed to consider how product aesthetics affects post-purchase processes and consumers' usage behavior. This research focuses on the relationship between aesthetics and usage behavior in the context of durable products. Studies 1A to 1C provide evidence of a positive effect of product aesthetics on usage intensity using market data from the car and the fashion industries. Study 2 corroborates these findings and shows that the more intensive use of highly aesthetic products may lead to the acquisition of product-specific usage skills that form the basis for a cognitive lock-in. Hence, consumers are less likely to switch away from products with appealing designs, an effect that is labeled as the ‘aesthetic fidelity’ effect. Study 3 addresses an alternative explanation for the ‘aesthetic fidelity effect’ based on mood and motivation but finds that the ‘aesthetic fidelity’ effect is indeed determined by usage intensity. Finally, Study 4 identifies a boundary condition of the positive effect of product aesthetics on product usage, showing that it is limited to durable products. In sum, this research demonstrates that the effects of product aesthetics extend beyond the pre-consumption stage and have an enduring impact on people's consumption experiences.
While record-making prices at art auctions receive headline news coverage, artists typically do not receive any direct proceeds from those sales. Early-stage creative work in any field is perennially difficult to value, but the valuation, reward, and incentivization for artistic labor are particularly fraught. A core challenge in studying the real return on artists’ work is the extreme difficulty accessing data from when an artwork was first sold. Galleries keep private records that are difficult to access and to match to public auction results. This paper, for the first time, uses archivally sourced primary market records, for the artists Jasper Johns and Robert Rauschenberg. Although this approach restricts the size of the data set, this innovative method shows much more accurate returns on art than typical regression and hedonic models. We find that if Johns and Rauschenberg had retained 10% equity in their work when it was first sold, the returns to them when the work was resold at auction would have outperformed the US S&P 500 by between 2 and 986 times. The implication of this work opens up vast policy recommendations with regard to secondary art market sales, entrepreneurial strategies using blockchain technology, and implications about how we compensate creative work.
Employing the art-collection records of Burton and Emily Hall Tremaine, we consider whether early-stage art investors can be understood as venture capitalists. Because the Tremaines bought artists’ work very close to an artwork’s creation, with 69% of works in our study purchased within one year of the year when they were made, their collecting practice can best be framed as venture-capital investment in art. The Tremaines also illustrate art collecting as social-impact investment, owing to their combined strategy of art sales and museum donations for which the collectors received a tax credit under US rules. Because the Tremaines’ museum donations took place at a time that U.S. marginal tax rates from 70% to 91%, the near “donation parity” with markets, creating a parallel to ESG investment in the management of multiple forms of value.
The modern tontine : an innovative instrument for longevity risk management in an aging society
(2020)
We investigate whether a historical pension concept, the tontine, yields enough innovative potential to extend and improve the prevailing privately funded pension solutions in a modern way. The tontine basically generates an age-increasing cash flow, which can help to match the increasing financing needs at old ages. In contrast to traditional pension products, however, the tontine generates volatile cash flows, which means that the insurance character of the tontine cannot be guaranteed in every situation. By employing Multi Cumulative Prospect Theory (MCPT) we answer the question to what extent tontines can be a complement to or a substitute for traditional annuities. We find that it is only optimal to invest in tontines for a certain range of initial wealth. In addition, we investigate in how far the tontine size, the volatility of individual liquidity needs and expected mortality rates contribute to the demand for tontines.
The modern tontine: an innovative instrument for longevity risk management in an aging society
(2016)
The changing social, financial and regulatory frameworks, such as an increasingly aging society, the current low interest rate environment, as well as the implementation of Solvency II, lead to the search for new product forms for private pension provision. In order to address the various issues, these product forms should reduce or avoid investment guarantees and risks stemming from longevity, still provide reliable insurance benefits and simultaneously take account of the increasing financial resources required for very high ages. In this context, we examine whether a historical concept of insurance, the tontine, entails enough innovative potential to extend and improve the prevailing privately funded pension solutions in a modern way. The tontine basically generates an age-increasing cash flow, which can help to match the increasing financing needs at old ages. However, the tontine generates volatile cash flows, so that - especially in the context of an aging society - the insurance character of the tontine cannot be guaranteed in every situation. We show that partial tontinization of retirement wealth can serve as a reliable supplement to existing pension products.
A tontine provides a mortality driven, age-increasing payout structure through the pooling of mortality. Because a tontine does not entail any guarantees, the payout structure of a tontine is determined by the pooling of individual characteristics of tontinists. Therefore, the surrender decision of single tontinists directly affects the remaining members' payouts. Nevertheless, the opportunity to surrender is crucial to the success of a tontine from a regulatory as well as a policyholder perspective. Therefore, this paper derives the fair surrender value of a tontine, first on the basis of expected values, and then incorporates the increasing payout volatility to determine an equitable surrender value. Results show that the surrender decision requires a discount on the fair surrender value as security for the remaining members. The discount intensifies in decreasing tontine size and increasing risk aversion. However, tontinists are less willing to surrender for decreasing tontine size and increasing risk aversion, creating a natural protection against tontine runs stemming from short-term liquidity shocks. Furthermore we argue that a surrender decision based on private information requires a discount on the fair surrender value as well.
Central banks have faced a succession of crises over the past years as well as a number of structural factors such as a transition to a greener economy, demographic developments, digitalisation and possibly increased onshoring. These suggest that the future inflation environment will be different from the one we know. Thus uncertainty about important macroeconomic variables and, in particular, inflation dynamics will likely remain high.
Using fiscal reaction functions for 3a panel of actual euro-area countries the paper investigates whether euro membership has reduced the responsiveness of countries to increases in the level of inherited debt compared to the period prior to succession to the euro. While we find some evidence for such a loss in prudence, the results are not robust to changes in the specification, as for example an exclusion of Greece from the panel. This suggests that the current debt problems may result to a large extent from pre-existing debt levels prior to entry or from a larger need for fiscal prudence in a common currency, while an adverse change in the fiscal reaction functions for most countries does not apply.
The paper uses fiscal reaction functions for a panel of euro-area countries to investigate whether euro membership has reduced the responsiveness of countries to shocks in the level of inherited debt compared to the period prior to succession to the euro. While we find some evidence for such a loss in prudence, the results are not robust to changes in the specification, such as an exclusion of Greece from the panel. This suggests that the current debt problems may result to a large extent from preexisting debt levels prior to entry or from a larger need for fiscal prudence in a common currency, while an adverse change in the fiscal reaction functions for most countries does not apply.
The pressure on tax haven countries to engage in tax information exchange shows first effects on capital markets. Empirical research suggests that investors do react to information exchange and partially withdraw from previous secrecy jurisdictions that open up to information exchange. While some of the economic literature emphasizes possible positive effects of tax havens, the present paper argues that proponents of positive effects may have started from questionable premises, in particular when it comes to the effects that tax havens have for emerging markets like China and India.
This paper studies the distributional consequences of a systematic variation in expenditure shares and prices. Using European Union Household Budget Surveys and Harmonized Index of Consumer Prices data, we construct household-specific price indices and reveal the existence of a pro-rich inflation in Europe. Particularly, over the period 2001-15, the consumption bundles of the poorest deciles in 25 European countries have, on average, become 10.5 percentage points more expensive than those of the richest decile. We find that ignoring the differential inflation across the distribution underestimates the change in the Gini (based on consumption expenditure) by up to 0.03 points. Cross-country heterogeneity in this change is large enough to alter the inequality ranking of numerous countries. The average inflation effect we detect is almost as large as the change in the standard Gini measure over the period of interest.
Discriminating inflation
(2018)
Digitalization expands the possibility for corporations to reduce taxes, mainly, but not exclusively, by allowing improved planning where profits can be shifted. Against this background, the European Commission and several countries emphatically demand and design new tax instruments. However, a selective turning away from internationally accepted principles of international taxation will bring up more questions than solutions. While there are good reasons to think about a fundamental regime switch in international corporate taxation, there are also good arguments for not turning to ad hoc measures that selectively target the relatively small market of Google and Facebook and raise only negligible tax revenues.
Greece: threatening recovery
(2015)
Despite the catastrophic phase between 2008 and the end of 2014, much of a previously unsustainable development has been corrected in Greece and there are clear signs that the deterioration came to a halt in 2014. But what is publicly known about the priorities of the newly elected Syriza government suggests that they may be going largely into the wrong direction.
Expectations on others
(2017)
This policy letter collects elementary economic statistics and provides a very basic look on Russian public finances (i) to inform the reader’s opinion on a possible planning process behind the war against Ukraine and (ii) to discuss prospects of an energy embargo and its capability to affect the stability of the Russian economy.
This note argues that in a situation of an inelastic natural gas supply a restrictive monetary policy in the euro zone could reduce the energy bill and therefore has additional merits. A more hawkish monetary policy may be able to indirectly use monopsony power on the gas market. The welfare benefits of such a policy are diluted to the extent that some of the supply (approximately 10 percent) comes from within the euro zone, which may give rise to distributional concerns.
he predictive likelihood is of particular relevance in a Bayesian setting when the purpose is to rank models in a forecast comparison exercise. This paper discusses how the predictive likelihood can be estimated for any subset of the observable variables in linear Gaussian state-space models with Bayesian methods, and proposes to utilize a missing observations consistent Kalman filter in the process of achieving this objective. As an empirical application, we analyze euro area data and compare the density forecast performance of a DSGE model to DSGE-VARs and reduced-form linear Gaussian models.
Applying an investment perspective to higher education, the paper presents detailed empirical evidence on the rate of return to higher education and its determinants. Employing a sample of 17,180 higher education graduates derived from the German Labor Force Survey 2004, we show considerable variation in the rates of return to higher education across the different subjects, with some subjects on average not representing attractive private investments from an economic point of view. We find that the decision what to study is worth several hundred thousand Euros. Applying regression analysis, we find gender- and degree-specific return advantages only in certain subjects. Comparing the return of an investment in higher education and the production cost of higher education, we show that more expensive subjects (apart from Medicine) yield a lower return. When considering the cost of study, the overall order of attractiveness of the different forms of education remains stable, but the investment in further subjects is no longer clearly attractive. Keywords: Returns to Education, Human Capital, Higher Education Earnings Capacity.
European households face tremendous obstacles when intending to open a savings account outside their home country. The shortage of deposits has become a major reason for banks’ declining loan supply and ultimately is responsible for a substantial part of the investment weakness and GDP decline in affected European countries.
Policy makers have made important efforts to promote European deposit market integration and to stimulate cross border flows of savings within the European Union. But these efforts will only yield the intended benefits if a number of additional non-tariff trade barriers are removed. Currently, these barriers prevent households in surplus countries to transfer their savings to banks in deficit countries where their deposits are most urgently needed.
CONCLUSION The analysis of the exposure measurement problem has shown that the proper measurement of counterparty exposure for portfolios of derivatives transactions is a complex task that cannot be performed without making a lot of simplifying assumptions. Because of the complicated interaction of correlation effects and offsettings from different transactions, the single transaction framework which is currently used by most banks is definitely not capable of accurately determining the portfolio credit risk. When simulation techniques are applied to estimate exposure, the accuracy of exposure estimations can be increased significantly. However, a lot of modelling choices has to be made concerning the valuation of transactions and the stochastic model of underlying market rates. Because the system has to make projections of market rates into the far future, the choice of an appropriate stochastic model for market rate dynamics is crucial in order to prevent unreasonable scenarios. The predominant application of models based on Brownian Motion in today’s bank risk management therefore leads to questionable results in respect to derivatives exposure evaluation.
The recent success of some alternative trading systems (ATSs) has had a strong impact on the traditional stock exchange industry and many observers expect even more dramatic changes in the future. This paper investigates the nature of competition between stock exchanges and ATSs and argues that the introduction of ATSs weakens the level of competition between market-makers in the traditional exchange...
New provisioning rules introduced by IFRS 9 are expected to reduce the procyclicality of provisioning. Heterogeneity among banks in the procyclicality of provisioning may not only reflect the formal accounting rules, but also variation in discretionary provisioning policies. This paper presents empirical evidence on the heterogeneity of provisioning procyclicality among significant banks that are directly supervised by the ECB. In particular, this paper finds that provisioning is relatively procyclical at banks that have i) high loans-to-assets ratios, ii) high shares of non-interest income in total operating income, iii) low capitalization rates, and iv) low total assets. Supervisory guidance provided to banks on how to implement IFRS 9 has mostly been of a qualitative nature, and may prove inadequate to prevent an undesirably wide future variation in provisioning among EU banks.
This paper was provided at the request of the Committee on Economic and Monetary Affairs of the European Parliament and commissioned and drafted under the responsibility of the Economic Governance Support Unit (EGOV) of the European Parliament. It was originally published on the European Parliament’s webpage.
Table of Contents – Cumulative Dissertation Thesis German Summary Summary of Analysis Results for German-Speaking Readers Introductory Paper Introduction and Overview of the Dissertation Paper 1 Vykoukal, Jens / Wolf, Martin / Beck, Roman (2009) Services Grids in Industry: On-Demand Provisioning and Allocation of Grid-based Business Services In: Business & Information Systems Engineering (BISE), 1(2), 177-184 Paper 2 Vykoukal, Jens / Setzer, Michael / Beck, Roman (2008) Grid Architecture for Risk Management: A Case Study in a Financial Institution In: Proceedings of the 12th Pacific Asia Conference on Information Systems (PACIS), Suzhou, China Paper 3 Vykoukal, Jens / Pahlke, Immanuel / Beck, Roman (2011) Impact of Grid Assimilation on Operational Agility in Turbulent Environments: An Empirical Investigation in the Financial Services Industry In: Proceedings of the 19th European Conference on Information Systems (ECIS), Helsinki, Finland Paper 4 Vykoukal, Jens / Wolf, Martin / Beck, Roman (2009) Does Green IT Matter? Analysis of the Relationship between Green IT and Grid Technology from a Resource-based View Perspective In: Proceedings of the 13th Pacific Asia Conference on Information Systems (PACIS), Hyderabad, India Paper 5 Vykoukal, Jens (2010) Grid Technology as Green IT Strategy? Empirical Results from the Financial Services Industry In: Proceedings of the 18th European Conference on Information Systems (ECIS), Pretoria, South Africa Paper 6 Vykoukal, Jens / Beck, Roman / Wolf, Martin (2010) Impact of Pressure for Environmental Sustainability on Grid Assimilation: Empirical Results from the Financial Services Industry In: Australasian Journal of Information Systems (AJIS), 17(1), 83-106 Appendix: Publications, Curriculum Vitae
The European low-carbon transition began in the last few decades and is accelerating to achieve net-zero emissions by 2050. This paper examines how climate-related transition indicators of a large European corporate firm relate to its CDS-implied credit risk across various time horizons. Findings show that firms with higher GHG emissions have higher CDS spreads at all tenors, including the 30-year horizon, particularly after the 2015 Paris Agreement, and in prominent industries such as Electricity, Gas, and Mining. Results suggest that the European CDS market is currently pricing, to some extent, albeit small, the exposure to transition risk for a firm across different time horizons. However, it fails to account for a company’s efforts to manage transition risks and its exposure to the EU Emissions Trading Scheme. CDS market participants seem to find challenging to risk-differentiate ETS-participating firms from other firms.
Projected demographic changes in industrialized and developing countries vary in extent and timing but will reduce the share of the population in working age everywhere. Conventional wisdom suggests that this will increase capital intensity with falling rates of return to capital and increasing wages. This decreases welfare for middle aged asset rich households. This paper takes the perspective of the three demographically oldest European nations — France, Germany and Italy — to address three important adjustment channels to dampen these detrimental effects of aging in these countries: investing abroad, endogenous human capital formation and increasing the retirement age. Our quantitative finding is that endogenous human capital formation in combination with an increase in the retirement age has strong implications for economic aggregates and welfare, in particular in the open economy. These adjustments reduce the maximum welfare losses of demographic change for households alive in 2010 by about 2.2 percentage points in terms of a consumption equivalent variation.
Motivated by the recent discussion of the declining importance of deposits as banks´ major source of funding we investigate which factors determine funding costs at local banks. Using a panel data set of more than 800 German local savings and cooperative banks for the period from 1998 to 2004 we show that funding costs are not only driven by the relative share of comparatively cheap deposits of bank´s liabilities but among other factors especially by the size of the bank. In our empirical analysis we find strong and robust evidence that, ceteris paribus, smaller banks exhibit lower funding costs than larger banks suggesting that small banks are able to attract deposits more cheaply than their larger counterparts. We argue that this is the case because smaller banks interact more personally with customers, operate in customers´ geographic proximity and have longer and stronger relationships than larger banks and, hence, are able to charge higher prices for their services. Our finding of a strong influence of bank size on funding costs is also in an in- ternational context of great interest as mergers among small local banks - the key driver of bank growth - are a recent phenomenon not only in European banking that is expected to continue in the future. At the same time, net interest income remains by far the most important source of revenue for most local banks, accounting for approximately 70% of total operating revenues in the case of German local banks. The influence of size on funding costs is of strong economic relevance: our results suggest that an increase in size by 50%, for example, from EUR 500 million in total assets to EUR 750 million (exemplary for M&A transactions among local banks) increases funding costs, ceteris paribus, by approximately 18 basis points which relates to approx. 7% of banks´ average net interest margin.
This paper is one of the first to analyse political influence on state-owned savings banks in a developed country with an established financial market: Germany. Combining a large dataset with financial and operating figures of all 457 German savings banks from 1994 to 2006 and information on over 1,250 local elections during this period we investigate the change in business behavior around elections. We find strong indications for political inflence: the probability that savings banks close branches, lay-off employees or engage in merger activities is significantly reduced around elections. At the same time they tend to increase their extraordinary spendings, which include support for social and cultural events in the area, on average by over 15%. Finally, we find that savings banks extend significantly more loans to their corporate and private customers in the run-up to an election. In further analyses, we show that the magnitude of political influence depends on bank specific, economical and political circumstances in the city or county: political influence seems to be facilitated by weak political majorities and profitable banks. Banks in economically weak areas seem to be less prone to political influence.
We study whether prices of traded options contain information about future extreme market events. Our option-implied conditional expectation of market loss due to tail events, or tail loss measure, predicts future market returns, magnitude, and probability of the market crashes, beyond and above other option-implied variables. Stock-specific tail loss measure predicts individual expected returns and magnitude of realized stock-specific crashes in the cross-section of stocks. An investor that cares about the left tail of her wealth distribution benefits from using the tail loss measure as an information variable to construct managed portfolios of a risk-free asset and market index.
Option-implied information and predictability of extreme returns : [Version 24 September 2012]
(2012)
We study whether option-implied conditional expectation of market loss due to tail events, or tail loss measure, contains information about future returns, especially the negative ones. Our tail loss measure predicts future market returns, magnitude, and probability of the market crashes, beyond and above other option-implied variables. Stock-specific tail loss measure predicts individual expected returns and magnitude of realized stock-specific crashes in the cross-section of stocks. An investor, especially the one who cares about the left tail of her wealth distribution (e.g., disappointment-averse), benefits from using the tail loss measure as an information variable to construct managed portfolios of a risk-free asset and market index. The tail loss measure is motivated by the results of the extreme value theory, and it is computed from observed prices of out-of-the-money put as the risk-neutral expected value of a loss beyond a given relative threshold.
One of the dangers of harmonisation and unification processes taking place within the framework of the EU is that they may result in the codification of the lowest common denominator. This is precisely what is threatening to happen in respect of assignment. Referring the transfer of receivables by way of assignment to the law of the assignor’s residence, as article 13 of the Proposal does, would be opting for the most conservative solution and would for many Member States be a step backward rather than forward. A conflict rule referring assignment to the law of the assignor's residence is too rigid to do justice to the dynamic nature of assignments in cross-border transactions and it is unjustly one-sided. It offers no real advantages when compared to other conflict rules; it even has serious disadvantages which make the conflict rule unsuitable for efficient assignment-based cross-border transactions. It is not unconceivable that this conflict rule would even be contrary to the fundamental freedoms of the ECTreaty. The Community legislators in particular should be careful not to needlessly adopt rules which create insurmountable obstacles for cross-border business where choice-of-law by the parties would perfectly do. Community legislation has a special responsibility to create a smooth legal environment for single market transactions.
Using two datasets containing demographically representative samples of the Dutch population, I study how lifetime experiences of aggregate labor market conditions affect personality. Three sets of findings are reported. First, experienced aggregate unemployment is negatively correlated with the levels of all Big Five personality traits, except for conscientiousness (no significant correlation). Second, in panel data models with individual fixed effects I find that changes in experienced aggregate unemployment cause changes in emotional stability and agreeableness for men, and conscientiousness for women. The correlation is positive, and effects are economically large. Thirdly, I report suggestive evidence that the main driver is experienced aggregate unemployment, instead of other macroeconomic variables as experienced GDP, stock market returns or inflation. Taken together, these findings suggest that changes in Big Five personality traits are systematically related to experienced aggregate labor market conditions.
Do household inflation expectations affect consumption-savings decisions? We link survey data on quantitative inflation expectations to administrative data on income and wealth. We document that households with higher inflation expectations save less. Estimating panel data models with year and household fixed effects, we find that a one percentage point increase in a household's inflation expectation over time is associated with a 250-400 euro reduction in the household's change in net worth per year on average. We also document that households with higher inflation expectations are more likely to acquire a car and acquire higher-value cars. In addition, we provide a quantitative model of household-level inflation expectations.
A number of recent studies have concluded that consumer spending patterns over the month are closely linked to the timing of income receipt. This correlation is interpreted as evidence of hyperbolic discounting. I re-examine patterns of spending in the diary sample of the U.S. Consumer Expenditure Survey, incorporating information on the timing of the main consumption commitment for most households - their monthly rent or mortgage payment. I find that non-durable and food spending increase with 30-48% on the day housing payments are made, with smaller increases in the days after. Moreover, households with weekly, biweekly and monthly income streams but the same timing of rent/mortgage payments have very similar consumption patterns. Exploiting variation in income, I find that households with extra liquidity decrease non-durable spending around housing payments, especially those households with a large budget share of housing.
Self-control failure is among the major pathologies (Baumeister et al. (1994)) affecting individual investment decisions which has hardly been measurable in empirical research. We use cigarette addiction identified from checking account transactions to proxy for low self-control and compare over 5,000 smokers to 14,000 nonsmokers. Smokers self-directing their investment trade more frequently, exhibit more biases and achieve lower portfolio returns. We also find that smokers, some of which might be aware of their limited levels of self-control, exhibit a higher propensity than nonsmokers to delegate decision making to professional advisors and fund managers. We document that such precommitments work successfully.
Discussions regarding the planned European Deposit Insurance Scheme (EDIS), the missing third pillar of the European Banking Union, have been ongoing since the Commission published its initial legisla-tive proposal in 2015. A breakthrough in negotiations has yet to be achieved. The gridlock on EDIS is most commonly attributed to moral hazard concerns over insufficient risk reduction harboured on the side of northern member states, particularly Germany, due to the weak state of some other member states’ banking sectors. While moral hazard based on uneven risk reduction is helpful for explaining divergent member-state preferences on the scope of necessary risk reduction, this does not explain preferences on the institutional design of EDIS. In this paper, we argue that contrary to persistent differences on necessary risk reduction, preferences regarding the institutional design of EDIS have become more closely aligned. We analyse how preferences on EDIS developed in the key member states of Germany, France, and Italy. In all sampled countries, we find path-dependent benefits con-nected to the current design of national Deposit Guarantee Schemes (DGS) that shifted preferences of the banking sector or significant subsectors in favour of retaining national DGSs. Overall, given that a compromise on risk-reduction can be accomplished, we argue that current preferences in these key member states provide an opportunity to implement EDIS in the form of a reinsurance system that maintains national DGSs in combination with a supranational fund.
Much has been written on the success of the Indian software industry, enumerating systemic factors like first-class higher education and research institutions, both public and private; low labour costs, stimulating (state) policies etc. However, although most studies analyzing the 'Indian' software industry cover essentially the South (and West) Indian clusters, this issue has not been tackled explicitly. This paper supplements the economic geography explanations mentioned above with the additional factor social capital, which is not only important within the region, but also in transnational (ethnic) networks linking Indian software clusters with the Silicon Valley. In other words, spatial proximity is complemented with cultural proximity, thereby, extending the system of innovation. The main hypothesis is that some Indian regions are more apt to economic development and innovation due to their higher affinity to education and learning, as well as, their more general openness, which has been a main finding of my interviews. In addition, the transnational networks of Silicon Valley Indians seem to be dominated by South Indians, thus, corroborating the regional clustering of the Indian software industry. JEL Classifications: O30, R12, Z13, L86
The Indian IT industry has received great attention. Although most studies cover South Indian locations, clustering has rarely been a topic. This study focuses on Bangalore addressing questions related to Bangalore’s successful development and lessons thereof for other regions in and outside India. The approach pertains to economic geography and international business; hypotheses have been developed from a multi-disciplinary literature survey and interview fieldwork in Bangalore. I emphasize human and social capital and networks. While the first chapter delineates cultural foundations of human capital formation, the second and third deal with bonding and bridging social capital (or dense and loose networks), respectively; the fourth is an outlook on future opportunities through intersectoral upgrading. The main hypothesis is that a combination of both forms of social networks - contingent upon sub-sectors – has helped Bangalore developing a successful IT industry. Positive attitudes towards education led to relatively more human capital spawning two positive feedbacks: 1) establishment of national research and educational institutes resulting in large inflows of a diversity of people providing the required setting for creativity and innovation; 2) transnational networks linking to Silicon Valley are dominated by people from South India, allowing for additional knowledge spillovers corroborating the regional clustering.
This paper sets out to analyze the influence of different types of venture capitalists on the performance of their portfolio firms around and after IPO. We investigate the hypothesis that different governance structures, objectives, and track records of different types of VCs have a significant impact on their respective IPOs. We explore this hypothesis using a data set embracing all IPOs that have occurred on Germany's Neuer Markt. Our main finding is that significant differences among the different VCs exist. Firms backed by independent VCs perform significantly better two years after IPO as compared to all other IPOs, and their share prices fluctuate less than those of their counterparts in this period of time. On the contrary, firms backed by public VCs show relative underperformance. The fact that this could occur implies that market participants did not correctly assess the role played by different types of VCs.
Privacy and its protection is an important part of the culture in the USA and Europe. Literature in this field lacks empirical data from Japan. Thus, it is difficult– especially for foreign researchers – to understand the situation in Japan. To get a deeper understanding we examined the perception of a topic that is closely related to privacy: the perceived benefits of sharing data and the willingness to share in respect to the benefits for oneself, others and companies. We found a significant impact of the gender to each of the six analysed constructs.
This paper analyses the long-term effects of improved small-scale lending, often provided by microfinance institutions set up with the support of development aid. The analysis shows that some common assumptions about microfinance are not true at all: First, it shows that the impact on income will accrue not to the microenterprises themselves, but rather to the consumers of their products. Second, microfinance will have a significant positive effect on the wage levels of employees in the informal sector. Third, microfinance will cause high growth rates in the informal production sector, whereas the trade sector will either contract or at best grow very little.
The theoretical derivation of credit market segmentation as the result of a free market process
(2003)
Information asymmetries make it difficult for banks to assess accurately whether specific entrepreneurs are able and/or willing to repay their loans. This leads to implicit interest rate ceilings, i.e. banks "refuse" to increase their interest rates beyond this ceiling as this would lower their net returns. Although the maximum interest rate increases as the size of enterprises decreases, such ceilings nonetheless constrain the banks’ ability to set interest rates at a level that would enable them to cover costs. If transaction costs are high, the total costs associated with granting small and medium-sized loans will exceed the maximum average return which the banks can earn by issuing such loans. For this reason, banks do not lend to small and medium-sized enterprises, and, as a consequence, these businesses have no access to formal sector loans. Because micro and small enterprises have a very high RoI, it is worthwhile for them to rely on expensive informal loans to finance their operations, at least until they reach a certain size. Once they have reached this size, however, it does not make economic sense for them to continue taking out informal credits, and thus they face a growth constraint imposed by the credit market. Medium-sized enterprises earn a lower RoI than small ones, which is why borrowing in the informal credit market is not a worthwhile option for them. Moreover, they do not have access to credit from formal financial institutions, and are thus excluded from obtaining any kind of financing in either of the two credit markets. As the result of free, unregulated market forces we get a stable equilibrium in which the credit market is segmented into an informal (small loan) segment, a formal (large loan) segment and, in between, a "non-market" (medium loan) segment.
The extension of long-term loans, e.g. to finance housing, is adversely affected by inflation. For one thing, the higher nominal interest rates charged by the banks in response to inflation mean that borrowers have to make (nominally) higher interest payments, which unnecessarily reduces their borrowing capacity. For another, long-term loans with variable interest rates increase the probability that borrowers will become unable to meet their payment obligations. The present paper examines these two assertions in detail. At the same time, it presents a concept for substantially reducing the weaknesses of conventional lending methodologies. We start by investigating the consequences of a stable inflation rate on the borrowing capacity of credit clients, then go on to analyze the impact of fluctuating inflation rates on the risk of default.
This paper investigates the potential implications of say on pay on management remuneration in Germany. We try to shed light on some key aspects by presenting quantitative data that allows us to gauge the pertinent effects of the German natural experiment that originates with the 2009 amendments to the Stock Corporation Act of 1965. In order to do this, we deploy a hand-collected data set for Germany's major firms (i.e. DAX 30), for the years 2006-2012. Rather than focusing exclusively on CEO remuneration we collected data for all members of the management board for the whole period under investigation. We observe that the compensation packages of management board members of Germany's DAX30-firms are quite closely linked to key performance measures. In addition, we find that salaries increase with the size of the company and that ownership concentration has no significant effect on compensation. Also, our findings suggest that the two-tier system seems to matter a lot when it comes to compensation. However, it would be misleading to state that we see no significant impact of the introduction of the German say on pay-regime. Our findings suggest that supervisory boards anticipate shareholder-behavior.
We study the design features of disclosure regulations that seek to trigger the green transition of the global economy and ask whether such regulatory interventions are likely to bring about sufficient market discipline to achieve socially optimal climate targets.
We categorize the transparency obligations stipulated in green finance regulation as either compelling the standardized disclosure of raw data, or providing quality labels that signal desirable green characteristics of investment products based on a uniform methodology. Both categories of transparency requirements can be imposed at activity, issuer, and portfolio level.
Finance theory and empirical evidence suggest that investors may prefer “green” over “dirty” assets for both financial and non-financial reasons and may thus demand higher returns from environmentally-harmful investment opportunities. However, the market discipline that this negative cost of capital effect exerts on “dirty” issuers is potentially attenuated by countervailing investor interests and does not automatically lead to socially optimal outcomes.
Mandatory disclosure obligations and their (public) enforcement can play an important role in green finance strategies. They prevent an underproduction of the standardized high-quality information that investors need in order to allocate capital according to their preferences. However, the rationale behind regulatory intervention is not equally strong for all categories and all levels of “green” disclosure obligations. Corporate governance problems and other agency conflicts in intermediated investment chains do not represent a categorical impediment for green finance strategies.
However, the many forces that may prevent markets from achieving socially optimal equilibria render disclosure-centered green finance legislation a second best to more direct forms of regulatory intervention like global carbon taxation and emissions trading schemes. Inherently transnational market-based green finance concepts can play a supporting role in sustainable transition, which is particularly important as long as first-best solutions remain politically unavailable.
We investigate whether the bank crisis management framework of the European banking union can effectively bar the detrimental influence of national interests in cross-border bank failures. We find that both the internal governance structure and decision making procedure of the Single Resolution Board (SRB) and the interplay between the SRB and national resolution authorities in the implementation of supranationally devised resolution schemes provide inroads that allow opposing national interests to obstruct supranational resolution. We also show that the Single Resolution Fund (SRG), even after the ratification of the reform of the European Stability Mechanism (ESM) and the introduction of the SRF backstop facility, is inapt to overcome these frictions. We propose a full supranationalization of resolution decision making. This would allow European authorities in charge of bank crisis management to operate autonomously and achieve socially optimal outcomes beyond national borders.