Studies document persistent unexplained gender-based wage gap in labor markets. At the executive level, where skill and education are similar, career interruptions and differences in risk preferences primarily explain the extant gender-based pay gap. This study focuses on CFO compensation contracts of Execucomp firms (1992–2020) and finds no gender-based pay gap. This paper offers several explanations for this phenomenon, such as novel evidence on the risk preferences of females with financial expertise and changes in the social and regulatory climate.

Individual investors reduce their trading activity in financial markets after the release of negatively biased Hollywood movies related to financial markets. These movies regularly depict financial markets and professionals active in them as marked by greed and corruption (Lichter et al. 1997). This decline in trading activity at the extensive margin comes together with depressed investor sentiment marked by higher likelihoods and volumes of selling than of buying transactions by those investors still active. Their avoidance of investing in and tendency to trade out of stocks related to companies in the financial industry, as well as their shift from actively managed mutual funds to passive vehicles (ETFs), provide evidence for the deterioration of investors’ trust in the financial industry and its managers. This channel is in line with existing literature on subjective beliefs in investment decisions and the impact of biased media coverage, such as the negative depiction of financial markets, shareholders, and managers in Hollywood movies.

Banks play a crucial role in the transition to a low-carbon economy, but they also expose themselves to climate transition risk. This column shows that banks use corporate loan securitisation to shift climate transition risk to less-regulated shadow banking entities. This behaviour affects carbon premia in loan contracts. When banks can use securitisation to manage transition risk, their climate policies that target only activities reflected in their books may not be as effective as bank regulators hope for.

The focus of this paper is whether the Securities and Exchange Commission's Regulation SHO strengthens or weakens the effect of short-selling threats on banks’ risk-taking. The evidence shows that pilot banks with looser constraints on short-selling increased their risk-taking during the financial crisis of 2007–2009. The reason is that short-selling threats improved the information environment and mitigated the agency problems of banks during the pilot program that led to greater risk-taking by pilot banks. Additionally, this effect is mainly driven by pilot banks with poor corporate governance, or high information asymmetry. Overall, our paper provides novel evidence that the disciplinary role of short-sellers had a positive effect on bank risk-taking during the financial crisis.

We show that weather-related natural disasters in the United States significantly weaken the financial stability of banks with business activities in affected regions. This is reflected in higher probabilities of default, lower z-scores, higher non-performing assets ratios, higher foreclosure ratios, lower returns on assets and lower equity ratios of affected banks in the years following a natural disaster. The effects are economically relevant and highlight the financial vulnerability of banks and their borrowers despite insurances and public aid programs.

Do lenders securitize or price loans in response to credit risk? Exploiting exogenous variation in regional credit risk due to foreclosure law differences along US state borders, we find that lenders securitize mortgages that are eligible for sale to the Government Sponsored Enterprises (GSEs) rather than price regional credit risk. For non-GSE-eligible mortgages with no GSE buyback provision, lenders increase interest rates as they are unable to shift credit risk to loan purchasers. The results inform the debate surrounding the GSEs' buyback provisions, the constant interest rate policy, and show that underpricing regional credit risk increases the GSEs' debt holdings. 

We examine the impact of the COVID-19 pandemic on the credit risk of companies around the world. We find that increased infection rates affect firms more adversely as reflected by the wider increase in their credit default swap (CDS) spreads if they are larger, more leveraged, closer to default, have worse governance and more limited stakeholder engagement, and operate in more highly exposed industries. We observe that country-level determinants such as GDP, political stability, foreign direct investment, and commitment to crisis management (income support, health and lockdown policies) also affect the sensitivity of CDS spreads to COVID-19 infection rates. A negative amplification effect exists for firms with high default probability in countries with fiscal constraints. A direct comparison between global CDS and stock markets reveals that the CDS market prices in a distinct set of corporate traits and government policies in pandemic times.

Understanding human behavior in its entire complexity is an ambitious if not impossible challenge. It is however possible to study particular aspects of human behavior through experiments that allow us to isolate specific facets in the decision-making process, ultimately leading to a better understanding of human behavior as a whole. This thesis covers three experimental articles on unethical economic behavior and sheds light on the motives and circumstances that lead individuals to engage in these activities. Clearly, unethical behavior in all its different manifestations can pose great risk to society – both at the large (e.g. corporate tax evasion) and small (e.g. shoplifting) scale – making it a relevant topic to be studied in economic research. Trying to understand unethical behavior through the lenses of traditional economic theory is problematic.

We develop a general approach for stress testing correlations of financial asset portfolios. The correlation matrix of asset returns is specified in a parametric form, where correlations are represented as a function of risk factors, such as country and industry factors. A sparse factor structure linking assets and risk factors is built using Bayesian variable selection methods. Regular calibration yields a joint distribution of economically meaningful stress scenarios of the factors. As such, the method also lends itself as a reverse stress testing framework: using the Mahalanobis distance or Highest Density Regions (HDR) on the joint risk factor distribution allows to infer worst-case correlation scenarios. We give examples of stress tests on a large portfolio of European and North American stocks.