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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.
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.
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.
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.
Die Öffnung des deutschen Bilanzrechts bewirkt eine zunehmende Anwendungsbreite von internationalen Rechnunungslegungsnormen (wie insbesondere der US-GAAP und der IAS) für deutsche Rechtsanwender;1 die heterogenen Normtypen und die – damit einhergehend – unterschiedlichen ökonomischen Eigenschaften dieser Normen erfordern für einen sinnvollen Rechnungslegungsvergleich eine komparative Rechnungslegungstheorie. Eine Besinnung auf die ökonomische Theorie ist – auch ausgelöst durch die Internationalisierung der Rechnungslegung – hier grundsätzlich festzustellen,2 wie auch das moderne deutsche Bilanzrecht seine heutige Prägung durch die ökonomische Theorie – und nicht vornehmlich durch die Anwender – erhielt.3 Es ist das Ziel des Aufsatzes, einen Beitrag zu einer institutionenökonomischen Theorie der Rechnungslegung zum Zweck der Bestimmung von Informationsinhalten und Gewinnansprüchen sowie zur vergleichenden Rechnungslegungstheorie zu leisten. In einem ersten Hauptteil (2) wird im folgenden – auf dem institutionenökonomischen Forschungsprogramm aufbauend – skizziert, welche Bedeutung Institutionen im Rahmen des Nutzenkalküls von Entscheidern zuzumessen ist; danach werden die einzelnen für eine vergleichende Rechnungslegung relevanten Institutionsarten typisiert (in formale und informelle Regeln) sowie deren Attribute im individuellen Zielstromkalkül eingeführt (nämlich Prädikate der Manipulationsfreiheit und Prädikate der Entscheidungsverbundenheit). Das Verhältnis der Institutionen zueinander wird im folgenden Abschnitt (3) anhand eines rechtlich geprägten und eines ökonomischen Systemverständnisses entwickelt. Es wird gezeigt, daß beide Systembegriffe auf einer Nichtadditivität der sie konstituierenden Institutionen gründen, die den qualitativen Vergleich unterschiedlicher Systeme erschweren; man überschätzt hingegen die Unterschiede zwischen juristischem und ökonomischem Systemverständnis: beide sind funktionsähnlich. Im letzten Hauptteil (4) werden schließlich vor dem Hintergrund einer gestaltenden Theorie die hierfür relevanten Teilbereiche (Sub-Systeme) der Rechnungslegungsordnung vorgestellt sowie einzelne Publizitätsnormen funktional ausgelegt. Der Beitrag schließt mit zusammenfassenden Thesen (5).
Mängel bei der Abschlußprüfung : Tatsachenberichte und Analysen aus betriebswirtschaftlicher Sicht
(2001)
Unternehmenskrisen, „überraschende“ zumal, standen am Anfang der gesetzlichen Normierung der Abschlußprüfung in Deutschland. Es entspricht daher einem legitimen Anliegen von Öffentlichkeit und Fachwelt, die herrschende Maßstäblichkeit der Qualität von Abschlußprüfungen und die Glaubwürdigkeit4 von Abschlußprüfern insbesondere dann in gesteigertem Maße als Problem zu begreifen, wenn den gesetzlichen Schutzzwecken und Schutznormen der etablierten Abschlußprüfung zum Trotz Unternehmen in eine Krise geraten: Denn innerhalb der institutionellen Mechanismen ihrer Früherkennung – eines funktionalen Teils des deutschen Systems von corporate governance – gilt die Pflichtprüfung mit Recht als pivotales Element. Vieles an festzustellender Kritik mag hierbei einem der Komplexität der zu verhandelnden Sachzusammenhänge unüberbrückbaren Laienverständnis geschuldet sein; manches aber ist sicherlich erklärlich durch verbesserbare gesetzliche Vorschriften, zu lösende theoretische (ökonomische und rechtswissenschaftliche) Problemstellungen und eine zu fördernde gute Berufspraxis. Jüngste fragliche Mängel der Abschlußprüfung geben den Anlaß zu vorliegenden Tatsachenberichten und betriebswirtschaftlichen Analysen. Die getroffene Auswahl der Unternehmen ist hierbei ebenso willkürlich wie die der betroffenen Wirtschaftsprüfungsgesellschaften – nicht zufällig ist indes die Auswahl der betriebswirtschaftlichen Grundprobleme: Betreffen diese doch wesentliche Erwartungen an die Abschlußprüfung, die offenbar so regelmäßig enttäuscht wurden, daß selbst in Regierungsbegründungen von Gesetzesvorlagen nunmehr eine „sog. Erwartungslücke“5 bemüht wird. Die Erwartungslücken ergeben sich hierbei insbesondere aus der Vorstellung, daß (a) der gesetzliche Pflichtprüfer bei einer ordnungsmäßigen Prüfung zwingend doloses Handeln aufzudecken habe, daß (b) bilanzielle Wertansätze hinreichend zuverlässige Größen bilden, die über die Vermögenslage des Unternehmens berichten und schließlich (c) die Prüfung der tatsächlichen wirtschaftlichen Lage des Unternehmens und die Unterrichtung hiervon in Prüfungsbericht und Bestätigungsvermerk eine Selbstverständlichkeit der Pflichtprüfung sei. Diesen Erwartungen folgt der Gang der Untersuchung.
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.
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 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 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.