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"A groundbreaking decision"
(2018)
We assess the relationship between finance and growth over the period 1980-2014. We estimate a cross-country growth regression for 48 countries during 20 periods of 15 years starting in 1980 (to 1995) and ending in 1999 (to 2014). We use OLS and IV estimations and we find that: 1) overall financial development had a positive effect on economic growth during all periods of our sample, i.e., we confirm that from 1980 to 2014 financial services provided by the various financial systems were significant (to various degrees) for firm creation, industrial expansion and economic growth; but that, 2) the structure of financial markets was particularly relevant for economic growth until the financial crisis; while 3) the structure of the banking sector played a major role since; and finally that, 4) the legal system is the primary determinant of the effectiveness of the overall financial system in facilitating innovation and growth in (almost) all of our sample period. Hence, overall our results suggest that the relationship between finance and growth matters but also that it varies over time in strength and in sector origination.
JEL Classification: O16, G16, G20.
I present a new business cycle model in which decision making follows a simple mental process motivated by neuroeconomics. Decision makers first compute the value of two different options and then choose the option that offers the highest value, but with errors. The resulting model is highly tractable and intuitive. A demand function in level replaces the traditional Euler equation. As a result, even liquid consumers can have a large marginal propensity to consume. The interest rate affects consumption through the cost of borrowing and not through intertemporal substitution. I discuss the implications for stimulus policies.
A new governance architecture for european financial markets? Towards a european supervision of CCPs
(2018)
Does the new European outlook on financial markets, as voiced by the EU Commission since the beginning of the Capital Market Unions imply a movement of the EU towards an alignment of market integration and direct supervision of common rules? This paper sets out to answer this question for the case of common supervision for Central Counterparties (CCPs) in the European Union. Those entities gained crucial importance post-crisis due to new regulation which requires the mandatory clearing of standardized derivative contracts, transforming clearing houses into central nodes for cross-border financial transactions. While the EU-wide regulatory framework EMIR, enacted in 2012, stipulates common regulatory requirements, the framework still relies on home-country supervision of those rules, arguably leading to regulatory as well as supervisory arbitrage. Therefore, the regulatory reform to stabilize the OTC derivatives market replicated at its center a governance flaw, which had been identified as one of the major causes for the gravity of the financial crisis in the EU: the coupling of intense competition based on private risk management systems with a national supervision of European rules. This paper traces the history of this problem awareness and inquires which factors account for the fact that only in 2017 serious negotiations at the EU level ensued that envisioned a common supervision of CCPs to fix the flawed system of governance. Analyzing this shift in the European governance architecture, we argue that Brexit has opened a window of opportunity for a centralization of supervision for CCPs. Brexit aligns the urgency of the problem with material interests of crucial political stakeholder, in particular of Germany and France, providing the possibility for a grand European bargain.
A tale of one exchange and two order books : effects of fragmentation in the absence of competition
(2018)
Exchanges nowadays routinely operate multiple, almost identically structured limit order markets for the same security. We study the effects of such fragmentation on market performance using a dynamic model where agents trade strategically across two identically-organized limit order books. We show that fragmented markets, in equilibrium, offer higher welfare to intermediaries at the expense of investors with intrinsic trading motives, and lower liquidity than consolidated markets. Consistent with our theory, we document improvements in liquidity and lower profits for liquidity providers when Euronext, in 2009, consolidated its order ow for stocks traded across two country-specific and identically-organized order books into a single order book. Our results suggest that competition in market design, not fragmentation, drives previously documented improvements in market quality when new trading venues emerge; in the absence of such competition, market fragmentation is harmful.
Augmented reality (AR) gained much public attention since the success of Pok´emon Go in 2016. Technology companies like Apple or Google are currently focusing primarily on mobile AR (MAR) technologies, i.e. applications on mobile devices, like smartphones or tablets. Associated privacy issues have to be investigated early to foster market adoption. This is especially relevant since past research found several threats associated with the use of smartphone applications. Thus, we investigate two of the main privacy risks for MAR application users based on a sample of 19 of the most downloaded MAR applications for Android. First, we assess threats arising from bad privacy policies based on a machine-learning approach. Second, we investigate which smartphone data resources are accessed by the MAR applications. Third, we combine both approaches to evaluate whether privacy policies cover certain data accesses or not. We provide theoretical and practical implications and recommendations based on our results.
Advanced machine learning has achieved extraordinary success in recent years. “Active” operational risk beyond ex post analysis of measured-data machine learning could provide help beyond the regime of traditional statistical analysis when it comes to the “known unknown” or even the “unknown unknown.” While machine learning has been tested successfully in the regime of the “known,” heuristics typically provide better results for an active operational risk management (in the sense of forecasting). However, precursors in existing data can open a chance for machine learning to provide early warnings even for the regime of the “unknown unknown.”
In this study we investigate which economic ideas were prevalent in the macroprudential discourse post-crises in order to understand the availability of ideas for reform minded agents. We base our analysis on new findings in the field of ideational shifts and regulatory science, which posit that change-agents engage with new ideas pragmatically and strategically in their effort to have their economic ideas institutionalized. We argue that in these epistemic battles over new regulation, scientific backing by academia is the key resource determining the outcome. We show that the present reforms implemented internationally follow this pattern. In our analysis we contrast the entire discourse on systemic risk and macroprudential regulation with Borio’s initial 2003 proposal for a macroprudential framework. We find that mostly cross-sectional measures targeted towards increasing the resilience of the financial system rather than inter-temporal measures dampening the financial cycle have been implemented. We provide evidence for the lacking support of new macroprudential thinking within academia and argue that this is partially responsible for the lack of anti-cyclical macroprudential regulation. Most worryingly, the financial cycle is largely absent in the academic discourse and is only tacitly assumed instead of fully fledged out in technocratic discourses, pointing to the possibility that no anti-cyclical measures will be forthcoming.
This paper provides an assessment framework for privacy policies of Internet of Things Services which is based on particular GDPR requirements. The objective of the framework is to serve as supportive tool for users to take privacy-related informed decisions. For example when buying a new fitness tracker, users could compare different models in respect to privacy friendliness or more particular aspects of the framework such as if data is given to a third party. The framework consists of 16 parameters with one to four yes-or-no-questions each and allows the users to bring in their own weights for the different parameters. We assessed 110 devices which had 94 different policies. Furthermore, we did a legal assessment for the parameters to deal with the case that there is no statement at all regarding a certain parameter. The results of this comparative study show that most of the examined privacy policies of IoT devices/services are insufficient to address particular GDPR requirements and beyond. We also found a correlation between the length of the policy and the privacy transparency score, respectively.
This paper analyzes how the combination of borrowing constraints and idiosyncratic risk affects the equity premium in an overlapping generations economy. I find that introducing a zero-borrowing constraint in an economy without idiosyncratic risk increases the equity premium by 70 percent, which means that the mechanism described in Constantinides, Donaldson, and Mehra (2002) is dampened because of the large number of generations and production. With social security the effect of the zero-borrowing constraint is a lot weaker. More surprisingly, when I introduce idiosyncratic labor income risk in an economy without a zero-borrowing constraint, the equity premium increases by 50 percent, even though the income shocks are independent of aggregate risk and are not permanent. The reason is that idiosyncratic risk makes the endogenous natural borrowing limits much tighter, so that they have a similar effect to an exogenously imposed zero-borrowing constraint. This intuition is confirmed when I add idiosyncratic risk in an economy with a zero-borrowing constraint: neither the equity premium nor the Sharpe ratio change, because the zero-borrowing constraint is already tighter than the natural borrowing limits that result when idiosyncratic risk is added.
Bargaining with a bank
(2018)
This paper examines bargaining as a mechanism to resolve information problems. To guide the analysis, I develop a parsimonious model of a credit negotiation between a bank and firms with varying levels of impatience. In equilibrium, impatient firms accept the bank’s offer immediately, while patient firms wait and negotiate price adjustments. I test the empirical predictions using a hand-collected dataset on credit line negotiations. Firms signing the bank’s offer right away draw down their line of credit after origination and default more than late signers. Late signers negotiate price adjustments more frequently, and, consistent with the model, these adjustments predict better ex post performance.
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.
This paper presents new evidence on the expectation formation process from a Dutch household survey. Households become too optimistic about their future income after their income has improved, consistent with the over-extrapolation of their experience. We show that this effect of experience is persistent and that households over-extrapolate income losses more than income gains. Furthermore, older households over-extrapolate more, suggesting that they did not learn over time to form more accurate expectations. Finally, we study the relationship between expectation errors and consumption. We find that more over-optimistic households intend to consume more and subsequently report higher consumption, even though they do not consume as much as they intended to. These results suggests that overextrapolation hurts consumers and amplify business cycles.
We establish that the labor market helps discipline asset managers via the impact of fund liquidations on their careers. Using hand-collected data on 1,948 professionals, we find that top managers working for funds liquidated after persistently poor relative performance suffer demotion coupled with a significant loss in imputed compensation. Scarring effects are absent when liquidations are preceded by normal relative performance or involve mid-level employees. Seen through the lens of a model with moral hazard and adverse selection, these results can be ascribed to reputation loss rather than bad luck. The findings suggest that performance-induced liquidations supplement compensation-based incentives.
We show that bond purchases undertaken in the context of quantitative easing efforts by the European Central Bank created a large mispricing between the market for German and Italian government bonds and their respective futures contracts. On top of the direct effect the buying pressure exerted on bond prices, we show three indirect effects through which the scarcity of bonds, resulting from the asset purchases, drove a wedge between the futures contracts and the underlying bonds: the deterioration of bond market liquidity, the increased bond specialness on the repurchase agreement market, and the greater uncertainty about bond availability as collateral.
We use minutes from 17,000 financial advisory sessions and corresponding client portfolio data to study how active client involvement affects advisor recommendations and portfolio outcomes. We find that advisors confronted with acquiescent clients stick to their standards and recommend expensive but well diversified mutual fund portfolios. However, if clients take an active role in the meetings, advisors deviate markedly from their standards, resulting in poorer portfolio diversification and lower Sharpe ratios. Our findings that advisors cater to client requests parallel the phenomenon of doctors prescribing antibiotics to insistent patients even if inappropriate, and imply that pandering diminishes the quality of advice.
This paper investigates the roles psychological biases play in empirically estimated deviations between subjective survival beliefs (SSBs) and objective survival probabilities (OSPs). We model deviations between SSBs and OSPs through age-dependent inverse S-shaped probability weighting functions (PWFs), as documented in experimental prospect theory. Our estimates suggest that the implied measures for cognitive weakness, likelihood insensitivity, and those for motivational biases, relative pessimism, increase with age. We document that direct measures of cognitive weakness and motivational attitudes share these trends. Our regression analyses confirm that these factors play strong quantitative roles in the formation of subjective survival beliefs. In particular, cognitive weakness is an increasingly important contributor to the overestimation of survival chances in old age.
We investigate whether and how the shift from discretionary forward-looking provisioning to the restrictive incurred loss approach under International Financial Reporting Standards (IFRS) in the European Union (EU) affects the cross-country comparability and predictive ability of loan loss allowances. Given bank supervisors’ keen interest in comparable and adequate loan loss allowances, we also examine the role of supervisors in determining financial statement effects around IFRS adoption. We find that the application of the incurred loss approach has led to more comparable loan loss allowances. However, some differences persist in countries where supervisors were reluctant to enforce the incurred loss approach. Our results also suggest that the predictive ability of loan loss allowances improved following IFRS adoption. Finally, in supplemental analyses we document that increased comparability of loan loss allowances is associated with the cross-country convergence of the risk sensitivity of bank leverage indicating an improvement in the effectiveness of market discipline in the EU.
We examine whether the economy can be insured against banking crises with deposit and loan contracts contingent on macroeconomic shocks. We study banking competition and show that the private sector insures the banking system through such contracts, and banking crises are avoided, provided that failed banks are not bailed out. When risks are large, banks may shift part of them to depositors. In contrast, when banks are bailed out by the next generation, depositors receive non-contingent contracts with high interest rates, while entrepreneurs obtain loan contracts that demand high repayment in good times and low repayment in bad times. As a result, the present generation overinvests, and banks generate large macroeconomic risks for future generations, even if the underlying productivity risk is small or zero. We conclude that a joint policy package of orderly default procedures and contingent contracts is a promising way to reduce the threat of a fragile banking system.
Coordination of circuit breakers? Volume migration and volatility spillover in fragmented markets
(2018)
We study circuit breakers in a fragmented, multi-market environment and investigate whether a coordination of circuit breakers is necessary to ensure their effectiveness. In doing so, we analyze 2,337 volatility interruptions on Deutsche Boerse and research whether a volume migration and an accompanying volatility spillover to alternative venues that continue trading can be observed. Different to prevailing theoretical rationale, trading volume on alternative venues significantly decreases during circuit breakers on the main market and we do not find any evidence for volatility spillover. Moreover, we show that the market share of the main market increases sharply during a circuit breaker. Surprisingly, this is amplified with increasing levels of fragmentation. We identify high-frequency trading as a major reason for the vanishing trading activity on the alternative venues and give empirical evidence that a coordination of circuit breakers is not essential for their effectiveness as long as market participants shift to the dominant venue during market stress.
This paper argues that the introduction of the Banking Recovery and Resolution Directive (BRRD) improved market discipline in the European bank market for unsecured debt. The different impact of the BRRD on bank bonds provides a quasi-natural experiment that allows to study the effect of the BRRD within banks using a difference-in-difference approach. Identification is based on the fact that (otherwise identical) bonds of a given bank maturing before 2016 are explicitly protected from BRRD bail-in. The empirical results are consistent with the hypothesis that debt holders actively monitor banks and that the BRRD diminished bail-out expectations. Bank bonds subject to BRRD bail-in carry a 10 basis points bail-in premium in terms of the yield spread. While there is some evidence that the bail-in premium is more pronounced for non-GSIB banks and banks domiciled in peripheral European countries, weak capitalization is the main driver.
Following the introduction of the one-child policy in China, the capital-labor (K/L) ratio of China increased relative to that of India, and, simultaneously, FDI inflows relative to GDP for China versus India declined. These observations are explained in the context of a simple neoclassical OLG paradigm. The adjustment mechanism works as follows: the reduction in the growth rate of the (urban) labor force due to the one-child policy permanently increases the capital per worker inherited from the previous generation. The resulting increase in China's (domestic K)/L thus "crowds out" the need for FDI in China relative to India. Our paper is a contribution to the nascent literature exploring demographic transitions and their effects on FDI flows.
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.
Discriminating inflation
(2018)
Motivated by the observation that survey expectations of stock returns are inconsistent with rational return expectations under real-world probabilities, we investigate whether alternative expectations hypotheses entertained in the asset pricing literature are consistent with the survey evidence. We empirically test (1) the notion that survey forecasts constitute rational but risk-neutral forecasts of future returns, and (2) the notion that survey fore- casts are ambiguity averse/robust forecasts of future returns. We find that these alternative hypotheses are also strongly rejected by the data, albeit for different reasons. Hypothesis (1) is rejected because survey return forecasts are not in line with risk-free interest rates and because survey expected excess returns are predictable. Hypothesis (2) is rejected because agents are not al- ways pessimistic about future returns, instead often display overly optimistic return expectations. We speculate as to what kind of expectations theories might be consistent with the available survey evidence.
Considering the circumstance that literature dealing with the economic performance of agri-food businesses in general, or particularly with the German agricultural sector, mainly deals with strictly agricultural-related theory in order to explain the economic success of agri-food businesses, the present paper aims to extend existing discourses to further areas of thought. Consequently, the characteristics: a) increased size of agribusiness, b) pull-strategies, c) the development of new markets and d) focus on the processing industry, that all correspond to the current picture of the German agricultural sector and are considered to be significantly responsible for recently managing to outpace the French agri-food sector, will be first explained in their success against the background of mainly non-agricultural-related literature. By doing so helpful and rather unnoted perspectives can be contributed to existing discourses. Second, the paper presents scatter plots which portray correlations between a) the added value of agriculture and the regular labor force, b) the added value of agriculture and the number of agricultural holdings and c) the added value of agriculture and the number of enterprises concerning milk consumption. Corresponding scatter plots which show different developments in Germany and France can be related to the findings of the first part of the paper and allow new perspectives in existing discourses as well.
Does economic policy uncertainty affect household stockholding? To answer this question we create a novel measure of household exposure to economic policy uncertainty news by combining survey information on the hours a household spends in reading newspapers and the frequency of such news in the popular press during a household’s pre-interview period. After controlling for household fixed effects, month-year fixed effects and time-varying cognitive skills, we find that households with a higher exposure to economic policy uncertainty news are less likely to invest in stocks held directly or through mutual funds. This effect is independent from the market volatility index and household (first-moment) expectations about the stock market index.
To estimate demand for labor, we use a combination of detailed employment data and the outcomes of procurement auctions, and compare the employment of the winner of an auction with the employment of the second ranked firm (i.e. the runner-up firm). Assuming similar ex-ante winning probabilities for both firms, we may view winning an auction as an exogenous shock to a firm’s production and its demand for labor. We utilize daily data from almost 900 construction firms and about 3,000 auctions in Austria in the time period 2006 until 2009. Our main results show that the winning firm significantly increases labor demand in the weeks following an auction but only in the years before the recent economic crisis. It employs about 80 workers more after the auction than the runner-up firm. Most of the adjustment takes place within one month after the demand shock. Winners predominantly fire fewer workers after winning than runner-up firms. In the crisis, however, firms do not employ more workers than their competitors after winning an auction. We discuss explanations like labor hoarding and productivity improvements induced by the crisis as well discuss implications for fiscal and stimulus policy in the crisis.
We propose a unified framework to measure the effects of different reforms of the pension system on retirement ages and macroeconomic indicators in the face of demographic change. A rich overlapping generations (OLG) model is built and endogenous retirement decisions are explicitly modeled within a public pension system. Heterogeneity with respect to consumption preferences, wage profiles, and survival rates is embedded in the model. Besides the expected direct effects of these reforms on the behavior of households, we observe that feedback effects do occur. Results suggest that individual retirement decisions are strongly influenced by numerous incentives produced by the pension system and macroeconomic variables, such as the statutory eligibility age, adjustment rates, the presence of a replacement rate, and interest rates. Those decisions, in turn, have several impacts on the macro-economy which can create feedback cycles working through equilibrium effects on interest rates and wages. Taken together, these reform scenarios have strong implications for the sustainability of pension systems. Because of the rich nature of our unified model framework, we are able to rank the reform proposals according to several individual and macroeconomic measures, thereby providing important support for policy recommendations on pension systems.
The use of evidence and economic analysis in policymaking is on the rise, and accounting standard setting and financial regulation are no exception. This article discusses the promise of evidence-based policymaking in accounting and financial markets as well as the challenges and opportunities for research supporting this endeavor. In principle, using sound theory and robust empirical evidence should lead to better policies and regulations. But despite its obvious appeal and substantial promise, evidence-based policymaking is easier demanded than done. It faces many challenges related to the difficulty of providing relevant causal evidence, lack of data, the reliability of published research, and the transmission of research findings. Overcoming these challenges requires substantial infrastructure investments for generating and disseminating relevant research. To illustrate this point, I draw parallels to the rise of evidence-based medicine. The article provides several concrete suggestions for the research process and the aggregation of research findings if scientific evidence is to inform policymaking. I discuss how policymakers can foster and support policy-relevant research, chiefly by providing and generating data. The article also points to potential pitfalls when research becomes increasingly policy-oriented.
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.
The paper analyses the contagion channels of the European financial system through the stochastic block model (SBM). The model groups homogeneous connectivity patterns among the financial institutions and describes the shock transmission mechanisms of the financial networks in a compact way. We analyse the global financial crisis and European sovereign debt crisis and show that the network exhibits a strong community structure with two main blocks acting as shock spreader and receiver, respectively. Moreover, we provide evidence of the prominent role played by insurances in the spread of systemic risk in both crises. Finally, we demonstrate that policy interventions focused on institutions with inter-community linkages (community bridges) are more effective than the ones based on the classical connectedness measures and represents consequently, a better early warning indicator in predicting future financial losses.
In contrast to the popularity of financial education interventions worldwide, studies on the economic effects of those interventions report mixed results. With a focus on the effect on disadvantaged groups, we review both the theoretical and empirical findings in order to understand why this discrepancy exists. The survey first highlights that it is necessary to distinguish between the concepts of, and the relationships between, financial education, financial literacy and financial behavior to identify the true effects of financial education. The review addresses possible biases caused by third factors such as numeracy. Next, we review theories on financial literacy which make clear that the effect of financial education interventions is heterogeneous across the population. Last, we look closely at main empirical studies on financial education targeted at the migrants/immigrants, the low-income earners and the young, and compare their methodologies. There seems to be a positive effect on short-term financial knowledge and awareness of the young, but there is no proven evidence on long-term behavior after being grown up. Studies on financial behavior of migrants and immigrants show almost no effect of financial education.
A growing body of literature shows the importance of financial literacy in households' financial decisions. However, fewer studies focus on understanding the determinants of financial literacy. Our paper fills this gap by analyzing a specific determinant, the educational system, to explain the heterogeneity in financial literacy scores across Germany. We suggest that the lower financial literacy observed in East Germany is partially caused by a different institutional framework experienced during the Cold War, more specifically, by the socialist educational system of the GDR which affected specific cohorts of individuals. By exploiting the unique set-up of the German reunification, we identify education as a channel through which institutions and financial literacy are related in the German context.
This paper uses unique administrative data and a quasi-field experiment of exogenous allocation in Sweden to estimate medium- and longer-run effects on financial behavior from exposure to financially literate neighbors. It contributes evidence of causal impact of exposure and of a social multiplier of financial knowledge, but also of unfavorable distributional aspects of externalities. Exposure promotes saving in private retirement accounts and stockholding, especially when neighbors have economics or business education, but only for educated households and when interaction possibilities are substantial. Findings point to transfer of knowledge rather than mere imitation or effects through labor, education, or mobility channels.
Even if the importance of micro data transparency is a well-established fact, European institutions are still lacking behind the US when it comes to the provision of financial market data to academics. In this Policy Letter we discuss five different types of micro data that are crucial for monitoring (systemic) risk in the financial system, identifying and understanding inter-linkages in financial markets and thus have important implications for policymakers and regulatory authorities. We come to the conclusion that for all five areas of micro data, outlined in this Policy Letter (bank balance sheet data, asset portfolio data, market transaction data, market high frequency data and central bank data), the benefits of increased transparency greatly offset potential downsides. Hence, European policymakers would do well to follow the US example and close the sizeable gap in micro data transparency. For most cases, relevant data is already collected (at least on national level), but just not made available to academics for partly incomprehensible reasons. Overcoming these obstacles could foster financial stability in Europe and assure level playing fields with US regulators and policymakers.
The authors relax the standard assumption in the dynamic stochastic general equilibrium (DSGE) literature that exogenous processes are governed by AR(1) processes and estimate ARMA (p,q) orders and parameters of exogenous processes. Methodologically, they contribute to the Bayesian DSGE literature by using Reversible Jump Markov Chain Monte Carlo (RJMCMC) to sample from the unknown ARMA orders and their associated parameter spaces of varying dimensions.
In estimating the technology process in the neoclassical growth model using post war US GDP data, they cast considerable doubt on the standard AR(1) assumption in favor of higher order processes. They find that the posterior concentrates density on hump-shaped impulse responses for all endogenous variables, consistent with alternative empirical estimates and the rigidities behind many richer structural models. Sampling from noninvertible MA representations, a negative response of hours to a positive technology shock is contained within the posterior credible set. While the posterior contains significant uncertainty regarding the exact order, the results are insensitive to the choice of data filter; this contrasts with the authors’ ARMA estimates of GDP itself, which vary significantly depending on the choice of HP or first difference filter.
Germany Inc. was an idiosyncratic form of industrial organization that put financial institutions at the center. This paper argues that the consumption of private benefits in related party transactions by these key agents can be understood as a compensation for their coordinating and monitoring function in Germany Inc. As a consequence, legal tools apt to curb tunneling remained weak in Germany from the perspective of outside shareholders. While banks were in a position to use their firm-level knowledge and influence to limit rent-seeking by other related parties, their own behavior was not subject to meaningful controls. With the dismantling of Germany Inc. banks seized their monitoring function and left an unprecedented void with regard to related party transactions. Hence, a “traditionalist” stance which opposes law reform for related party transactions in Germany negatively affects capital market development, growth opportunities and ultimately social welfare.
While the debate about the needs and merits of cryptocurrency regulation is ongoing, the unprecedented price hikes of cryptocurrencies towards the end of 2017 triggered a somewhat unexpected sort of regulation in the form of public statements by governments and financial supervisors. It kicked in rather quickly and turned out to be much more effective than imagined. These interventions can be identified as one of the main factors that drove asset prices down, thereby preventing destabilizing bubbles. The experience of the supervisory response to the cryptocurrency bubble of the past months keeps important insights for any prospective regulation of cryptocurrencies. First, public statements are a highly effective regulatory tool in the short term as they manage market expectations, a fact which is well-known as forward guidance in monetary policy. So far, the legal framework in the EU takes insufficient account of the regulatory role of public statements. Second, regulation needs to keep up with the incredible speed of fintech innovations. Some regulators addressed the challenge by adopting a ‘sandbox’ approach. However, the ‘sandbox’ approach clearly calls for international cooperation. To achieve a balance between safety and innovation, international cooperation should emulate the experimental character of sandboxes. One could conceive of a ‘sandbox for regulators’, an arrangement which would facilitate the exchange of information on regulatory initiatives among authorities but also the coordination of communication and forward guidance.