Search

In a series of experiments, we provide evidence that people pay special attention to the probability of losing. We first analyze this behavior in the typically used one-shot choice tasks. We then extend our analysis to repeated decisions in choice tasks, as well as allocation and investment tasks. Additionally, we test both decision making under risk and under gradually removed uncertainty, as with decisions from experience. Our findings of explicit attention to loss probabilities contradict the predictions of normative and descriptive decision theories, such as Expected Utility Theory and (Cumulative) Prospect Theory. We suggest a value function with a jump rather than a kink at the reference point, which separates gains and losses.

We study optimal employment contracts for present-biased employees if firms cannot commit to long-term contracts. Assuming that an employee's effort increases his chances to obtain a future benefit, we show that individuals who are naive about their present bias will actually be better off than sophisticated or time-consistent individuals. Moreover, firms might benefit from being ignorant about the extent of an employee's naivet'e. Our results also indicate that naive employees might be harmed by policies such as employment protection or a minimum wage, whereas sophisticated employees are better of

Conditional heteroskedasticity of the error terms is a common occurrence in financial factor models, such as the CAPM and Fama-French factor models. This feature necessitates the use of heteroskedasticity consistent (HC) standard errors to make valid inference for regression coefficients. In this paper, we show that using weighted least squares (WLS) or adaptive least squares (ALS) to estimate model parameters generally leads to smaller HC standard errors compared to ordinary least squares (OLS), which translates into improved inference in the form of shorter confidence intervals and more powerful hypothesis tests. In an extensive empirical analysis based on historical stock returns and commonly used factors, we find that conditional heteroskedasticity is pronounced and that WLS and ALS can dramatically shorten confidence intervals compared to OLS, especially during times of financial turmoil.

Using a difference-in-differences approach and relying on conftdential supervisory data and an unique proprietary data set available at the European Central Bank related to the 2016 EU-wide stress test, this paper presents novel empirical evidence that supervisory scrutiny associated to stress testing has a disciplining effect on bank risk. We ftnd that banks that participated in the 2016 EU-wide stress test subsequently reduced their credit risk relative to banks that were not part of this exercise. Relying on new metrics for supervisory scrutiny that measure the quantity, potential impact, and duration of interactions between banks and supervisors during the stress test, we find that the disciplining effect is stronger for banks subject to more intrusive supervisory scrutiny during the exercise.

https://ssrn.com/abstract=3202916; We show that banker bonuses cannot be understood exclusively as incentive contracts, but also incorporate a significant risk sharing dimension between bank shareholders and bank employees. This contrasts with the conventional view whereby diversified shareholders fully insure risk averse employees. However, financial frictions imply that shareholder value is concave in a bank's cash reserves---making shareholders effectively risk averse. The optimal contract between shareholders and employees then involves some degree of risk sharing. Using extensive payroll data on 1.26 million bank employee years in the Austrian, German, and Swiss banking sectors, we show that the structure of bonus pay within and across banks is compatible with an economically significant risk sharing motive, but difficult to rationalize based on incentive theories of bonus pay only.

This paper studies the impact of a key feature of competitive markets on moral behavior: the possibility that a competitor will step in and conclude the deal if a conscientious market actor forgoes a profitable business opportunity for ethical reasons. We study experimentally whether people employ the argument "if I don't do it, someone else will" to justify taking a narrowly self-interested action. Our data reveal a clear pattern. Subjects do not employ the "replacement excuse" if a social norm exists that classifies the selfish action as immoral. But if no social norm exists, subjects are more inclined to take a selfish action in situations where another subject can otherwise take it. By demonstrating the importance of social norms of moral behavior for limiting the power of the replacement excuse, our paper informs the long-standing debate on the effect of markets on morals.

Recent literature has documented substantial arbitrage opportunities in markets for cryptocurrencies. Given these rather surprising findings, we re-examine the exchange rates of four cryptocurrencies on 21 exchanges with data from October 2018 to June 2019. Our results first provide evidence that price differences exist based on our created arbitrage indices, however, at only a fraction of values reported in previous literature. We then analyze the drivers of these price differences, identifying exchange-specific factors to have the most important role. Based on this, we test actual arbitrage strategies for specific cryptocurrency and fiat currency pairs, finding, in contrast to previous literature, that arbitrage opportunities hardly exist.

Fintech and big tech companies are making rapid inroads into credit markets. We hand construct a global database of fintech and big tech lending volumes for 79 countries over 2013-2018. Using a panel regression analysis, we find these new forms of digital lending are larger in countries with higher GDP per capita (albeit at a declining rate), where banking sector mark-ups are higher, and where banking regulation is less stringent. We also find that these alternative forms of credit are more developed where the ease of doing business is greater, investor protection disclosure and the efficiency of the judicial system are more advanced, and where bond and equity markets are more developed. Overall, fintech and big tech credit seem to complement other forms of credit, rather than substitute for them.

We consider a real discrete pricing problem in network revenue management for FlixBus. We improve the company's current pricing policy by an intermediate optimization step using booking limits from standard deterministic linear programs. We pay special attention to computational efficiency. FlixBus' strategic decision to allow for low-cost refunds might encourage large group bookings early in the booking process. In this context, we discuss counter-intuitive findings comparing booking limits with static bid price policies. We investigate the theoretical question whether the standard deterministic linear program for network revenue management does provide an upper bound on the optimal expected revenue if customer's willingness to pay varies over time.

Theories suggest that asset encumbrance, the ring-fencing of certain assets for protected debtholders, can affect banks’ risk taking and lead to funding instability. We test these hypotheses using a unique, hand-collected dataset on outstanding covered bonds issued by a sample of listed European banks. Our results suggest that the effect of asset encumbrance on risk depends on the proportion of debtholders exerting market discipline and on the bank’s liquidity buffers. We deal with concerns regarding omitted variables and reverse causality using several fixed effects estimations and an instrumental variables approach.

We adapt the design of four experimental studies on retirement decision-making and conduct replications with a larger online sample from the broader population. We replicate most of the main effects of the original studies. In particular, we confirm that consumption decisions are less efficient when subjects need to borrow from the future than when they need to save from the present. When subjects collect retirement benefits as lump sum instead of annuities, they choose to retire later, as suggested by the original study. We also confirm that savings are higher when they are incentivized with matching contributions than when incentivized with tax rebates. However, when faced with varying survival risks, subjects in our replication make only partial adjustments to spending paths when ambiguity is reduced. We also propose a further experimental research agenda in related topics and discuss practical issues on subject recruitment, attrition, and redesign of complex tasks.

This article demonstrates that low bank capital carries a negative externality because it amplifies local shock spillovers. We exploit a natural disaster that is transmitted to firms in nondisaster areas via their banks. Firms connected to a strongly disaster-exposed bank with lowest-quartile capitalization significantly reduce their total borrowing by 6.6% and tangible assets by 6.9% compared to similar firms connected to a well-capitalized bank. These findings translate to negative regional effects on GDP and unemployment. Additionally, following a disaster event, banks reduce their exposure to currently unaffected but generally disaster-prone areas.

Purpose This paper aims to empirically describe the general characteristics and the investment behavior of high-net-worth individuals (HNWIs) who pursue impact investing. Design/methodology/approach Data was collected from members of a global impact investor network, using an online questionnaire, a portfolio-data collection tool and semi-structured interviews. Findings Wealthy private impact investors are largely similar in terms of their general characteristics and investment behavior, but they diverge in their interest in specific Sustainable Development Goals (SDGs). They tend to be strongly values-driven and to adopt an investment time horizon of 7+ years for their impact investments, which they expect to yield financial returns that are no different from those of traditional investments. Interestingly, these investors perceive the well-established sustainable investing strategies of exclusion, environmental, social and governance (ESG) integration and best-in-class as not having high impact-generating potential. Practical implications Suggestions are provided about how wealthy private investors could use the findings to improve their impact investment decisions. Advice is offered to investment professionals on how to optimize impact investment products and services for this economically and societally highly relevant target group. Originality/value To the best of the authors’ knowledge, this is the first scientific study to investigate the general characteristics and investment behavior of HNWIs who pursue impact investing. HNWIs have great relevance for financial markets yet they are out of reach for most researchers. As a result, they are poorly understood, and apparently also often misunderstood, which has substantial economic and social implications that this paper helps mitigate.

When confronted with new information, rational decision makers should update their beliefs through Bayes’ rule. In economics, however, new information often includes win-loss feedback (profits vs. losses, success vs. failure, upticks vs. downticks). Previous research using a well-established belief-updating paradigm shows that, in this case, reinforcement learning (focusing on past performance) creates high error rates, and increasing monetary incentives fails to elicit higher performance. But do incentives fail to increase effort, or rather does effort fail to increase performance? We use pupil dilation to show that higher incentives do result in increased cognitive effort, but the latter fails to translate into increased performance in this paradigm. The failure amounts to a “reinforcement paradox:” increasing incentives makes win-loss cues more salient, and hence effort is often misallocated in the form of an increased reliance on reinforcement processes. Our study also serves as an example of how pupil-dilation measurements can inform economics.

Economic theories posit conflicting hypotheses on how wealth inequality affects entrepre-neurial dynamism. We investigate the impact of wealth inequality on business dynamics by constructing local measures of household wealth inequality based on financial rents, home equity, and 1880 farmland. We then identify the effect of wealth inequality on entrepre-neurship by instrumenting it with land distribution under the 1862 Homestead Act. Wealth inequality decreases firm entry and exit, and the proportion of high-tech businesses across metropolitan statistical areas. Wealth inequality also lowers the supply of public goods, such as education. Growth in income per capita consequently lags.

Disclosure of climate-related financial risks greatly helps investors assess companies’ preparedness for climate change. Voluntary disclosures such as those based on the recommendations of the Task Force for Climate-related Financial Disclosures (TCFD) are being hailed as an effective measure for better climate risk management. We ask whether this expectation is justified. We do so by training ClimateBERT, a deep neural language model fine-tuned based on the language model BERT. In analyzing the disclosures of TCFD-supporting firms, ClimateBERT comes to the sobering conclusion that the firms’ TCFD support is mostly cheap talk and that firms cherry-pick to report primarily non-material climate risk information., Finance Research Letters, 47 (Part B), ISSN:1544-6123

This paper empirically evaluates whether adopting a common currency has changed the level of consumption smoothing of euro area member states. We construct a counterfactual dataset of macroeconomic variables through the synthetic control method. We then use the output variance decomposition of Asdrubali, Sorensen and Yosha (1996) on both the actual and the synthetic data to study if there has been a change in risk sharing and through which channels. We find that the euro adoption has reduced risk sharing and consumption smoothing. We further show that this reduction is mainly driven by the periphery countries of the euro area who have experienced a decrease in risk sharing through private credit.

In this paper, we examine the impact of top managers' social class on their attitude towards employee downsizing. Mobilizing Bourdieu's concepts of social class as a unique social position defined by the combination of economic, cultural, and social capital, we develop hypotheses about the effects of different capital endowments, which we test with unique data on more than 2500 top managers in Germany. We find that both higher economic and higher social capital increase openness towards employee dismissals, while higher cultural capital reduces it. We also find that the overall effect of a top manager's social position is an aggregate of the effects of the individual types of capital: Managers with high cultural, low social and low economic capital are least open to employee dismissals, while those with low cultural, high social and high economic capital are most open – with the other combinations lying somewhere between the two extremes.

Do credit ratings help enforce market discipline on banks? Analyzing a uniquely comprehensive data set consisting of 1,081 rating change announcements for 154 international financial institutions between January 2004 and December 2015, we find that rating downgrades for internal reasons, such as adverse changes in the operating performance or capital structure of banks, are associated with a significant credit default swap spread widening. However, this widening only occurs for banks that are not perceived as to be Too-Big-to-Fail (TBTF). Our findings question the reliability of credit ratings as a tool to discipline TBTF banks and suggest that regulatory monitoring should remain the main mechanism for disciplining these banks.

Small and micro-enterprises are usually majority-owned by entrepreneurs. Using a unique sample of loan applications from such firms, we study the role of owners’ gender in bank credit decisions and post-credit-decision firm outcomes. We find that, ceteris paribus, female entrepreneurs are more prudent loan applicants than are males because they are less likely to apply for credit or to default after loan origination. The relatively more aggressive behavior of male applicants pays off, however, in terms of higher average firm performance after loan origination.

Research suggests that firms with family CEOs differ from other types of businesses, yet surprisingly little is known about how employees in these firms feel and behave compared to those working in other firms. We draw from family science and management research to suggest that family CEOs, because of their emotion-evoking double role as family members and business leaders, are, on average, more likely to infuse employees with positive emotions, such as enthusiasm and excitement, than hired professional CEOs. We suggest that these emotions spread through firms by way of emotional contagion during interactions with employees, thereby setting the organizational affective tone. In turn, we hypothesize that in firms with family CEOs the voluntary turnover rate is lower. In considering structural features as boundary conditions, we propose that family CEOs have stronger effects in smaller and centralized firms, and weaker effects in formalized firms. Multilevel data from 41,200 employees and 2,246 direct reports of CEOs from 497 firms with and without family CEOs provide support for our model. This research suggests that firms managed by family CEOs, despite often being criticized as nepotistic relics of the past, tend to offer pleasant work environments.

We develop the first top-down method to estimate the greenness of financial portfolios, in terms of alignment to the EU Taxonomy for sustainable activities. We also develop a method to estimate, at the same time, the portfolio exposure to climate transition risk. We provide sector-level, standardized and transparent coefficients for both estimates, based on definitions of greenness and transition risk that are applicable across countries. We analyse the portfolios of Euro Area investors in 2020, based on the confidential Securities Holdings Statistics of the European Central Bank. We find that, overall, the greenness of Euro Area investors' portfolios is lower than their exposure to transition risk (1.3% vs. 5.5%). Across financial institutions, we estimate greenness and exposure to transition risk, respectively, at 1.4% and 6.1% for investment funds, at 0.3% and 1.7% for banks and at 1.2% and 5.0% for insurers. Our analysis also shows that investors with large amounts invested in green activities can have at the same time large exposures to transition risk.

We establish general “collapse to the mean” principles that provide conditions under which a law-invariant functional reduces to an expectation. In the convex setting, we retrieve and sharpen known results from the literature. However, our results also apply beyond the convex setting. We illustrate this by providing a complete account of the “collapse to the mean” for quasiconvex functionals. In the special cases of consistent risk measures and Choquet integrals, we can even dispense with quasiconvexity. In addition, we relate the “collapse to the mean” to the study of solutions of a broad class of optimisation problems with law-invariant objectives that appear in mathematical finance, insurance, and economics. We show that the corresponding quantile formulations studied in the literature are sometimes illegitimate and require further analysis.

International audience; Between 2010 and 2012 and with bank stability as the ultimate target, five European countries implemented a tax levy on banks’ liabilities thereby decreasing the cost of equity relative to the cost of debt. Using a difference-in-differences approach we assess the impact of this tax levy on banks’ participation in the syndicated loan market. We further investigate the impact of the tax levy along bank size and capital structure. We find that banks located in countries where the tax levy was implemented supply more credit. This increase is more significant for larger lenders and banks that are more capital constrained.

Influential economic approaches as random utility models assume a monotonic relation between choice frequencies and “strength of preference,” in line with widespread evidence from the cognitive sciences, which also document an inverse relation to response times. However, for economic decisions under risk, these effects are largely untested, because models used to fit data assume them. Further, the dimension underlying strength of preference remains unclear in economics, with candidates including payoff-irrelevant numerical magnitudes. We provide a systematic, out-of-sample empirical validation of these relations (both for choices and response times) relying on both a new experimental design and simulations.

Supplemental material files: supporting information: online appendix; replication file Do financial crises radicalize voters? We study Germany's 1931 banking crisis, collecting new data on bank branches and firm-bank connections. Exploiting cross-sectional variation in precrisis exposure to the bank at the center of the crisis, we show that Nazi votes surged in locations more affected by its failure. Radicalization in response to the shock was exacerbated in cities with a history of anti-Semitism. After the Nazis seized power, both pogroms and deportations were more frequent in places affected by the banking crisis. Our results suggest an important synergy between financial distress and cultural predispositions, with far-reaching consequences. This project has received funding from the ERC (648398). Peydró also acknowledges financial support from the ECO2015-68182-P (MINECO/FEDER, EUE) grant and the Spanish Ministry of Economics and Competitiveness (SEV-2015-0563).

This paper studies fictitious play in networks of noncooperative two-person games. We show that continuous-time fictitious play converges to the set of Nash equilibria if the overall n-person game is zero-sum. Moreover, the rate of convergence is 1/T, regardless of the size of the network. In contrast, arbitrary n-person zero-sum games with bilinear payoff functions do not possess the continuous-time fictitious-play property. As extensions, we consider networks in which each bilateral game is either strategically zero-sum, a weighted potential game, or a two-by-two game. In those cases, convergence requires a condition on bilateral payoffs or, alternatively, that the network is acyclic. Our results hold also for the discrete-time variant of fictitious play, which implies, in particular, a generalization of Robinson's theorem to arbitrary zero-sum networks. Applications include security games, conflict networks, and decentralized wireless channel selection. Revised version, June 2019

Market reactions to the 2019 novel coronavirus disease (COVID-19) provide new insights into how real shocks and financial policies drive firm value. Initially, internationally oriented firms, especially those more exposed to trade with China, underperformed. As the virus spread to Europe and the United States, corporate debt and cash holdings emerged as important value drivers, relevant even after the Fed intervened in the bond market. The content and tone of conference calls mirror this development over time. Overall, the results illustrate how anticipated real effects from the health crisis, a rare disaster, were amplified through financial channels. (JEL G01, G12, G14, G32, F14) Received: May 27, 2020; editorial decision June 16, 2020 by Editor Andrew Ellul. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

When observable cues correlate with optimal choices, habit-driven behavior can alleviate cognition costs. We experimentally study the degree of sophistication in habit formation and cue selection. To this end, we compare lab treatments that differ in the information provided to subjects, holding fixed the serial correlation of optimal actions. We find that a particular cue – own past action – affects behavior only in treatments in which this habit is useful. The result suggests that caution is warranted when modeling habits via a fixed non-separable utility. Despite this sophistication, lab behavior also reveals myopia in information acquisition.

Strong regulatory actions are needed to combat climate change, but climate policy uncertainty makes it difficult for investors to quantify the impact of future climate regulation. We show that such uncertainty is priced in the option market. The cost of option protection against downside tail risks is larger for firms with more carbon-intense business models. For carbon-intense firms, the cost of protection against downside tail risk is magnified at times when the public’s attention to climate change spikes, and it decreased after the election of climate change skeptic President Trump.

The purpose of this work is to develop an evolutionary finance model with a risk-free asset playing the role of a numeraire. The model describes a market where one risk-free and several “short-lived” risky assets (securities) are traded in discrete time. The risky securities live one period, yield random payoffs at the end of it, and then are re-born at the beginning of the next period. The main goal of the study is to identify investment strategies that make it possible for an investor to “survive” in the market selection process. It is shown that a strategy of this kind exists, is in a sense asymptotically unique and can be described by a simple explicit formula amenable for quantitative investment analysis.

It is estimated that hundreds of thousands of tons of solar panel waste are going to be produced yearly just in the United States from the year 2035 on, most of which could be recycled. This paper estimates the amount of scrap material to be produced from solar photovoltaic panels decommissioning and determines the optimal date and location to establish centralized or regional recycling centers to better deal with this issue on its early stages, between the years 2024 and 2042. Solar panel recycling could become a multi-billion USD industry over that time, however the main challenge today is to keep its overall costs down while allowing for the majority of panels to be recycled. Real Options Analysis is deployed to assess the optimal solution to face this challenge. This approach allows determining the optimal time and location to invest in recycling centers and the best strategy to undertake among different alternatives. The goal of this paper is to set a cornerstone for dealing with solar panel decommissioning and recycling at the end of their useful life in the United States, and we also determine a model that accounts for optimal location of the recycling facilities, which is a novel approach. This paper also offers a new application of the ROA modeling for estimating the optimal investment date for solar panel recycling plants from the investor perspective of the U.S. government in Washington D.C. Further applications of the model proposed in this work could allow for a similar analysis at an international level.