How do beliefs on admission probability influence application choices? In this study, we empirically investigate whether and how admission probability is reflected in application choices in a centralized admission system. We exploit a novel setting of a dynamic deferred acceptance mechanism as employed in Croatia with hourly information updates and simultaneous application choices. This setting allows us to explore within-applicant strategic adjustments as a reaction to changing signals on admission probability. We show in an RDD analysis that applicants react to negative signals on admission probability with an increased propensity to adjust their application choices by 11-23%. Additionally, we show how application strategies evolve over time, while applicants learn about their admission probability. The group most-at-risk to remain unmatched improves their application choices by applying to programs with a higher admission probability towards the application deadline. Yet, we also identify a popular and potentially harmful strategy of applying to safer programs before applying to more risky “reach” programs. About a quarter of applicants have the potential to improve their application choices by resorting their application choices.

Kann die Bankenaufsicht den Übergang zu einer kohlenstoffneutralen Wirtschaft unterstützen, indem sie die Kreditvergabe der Banken an Unternehmen beeinflusst? Dieser Beitrag untersucht die Kreditvergabe der Banken vor und nach dem weltweit ersten Klimastresstest in Frankreich und die Reaktion der kreditnehmenden Unternehmen. Die dem Stresstest unterworfenen Banken geben kohlenstoffintensiven Unternehmen mehr Kredite. Zugleich verlangen sie ihnen aber höhere Zinssätze ab. Die kohlenstoffintensiven Kreditnehmer, deren Banken sich dem Klimastresstest unterzogen haben, verpflichten sich eher zu ehrgeizigen Emissionszielen und integrieren eher Umweltaspekte in die Bewertung von Investitionsprojekten. Jedoch reduzieren sie weder direkt ihre Kohlenstoffemissionen noch beenden sie Beziehungen zu klimaschädlichen Lieferanten. Die Studie belegt somit einen kausalen Zusammenhang zwischen Klimastresstests der Banken und der Verringerung des Transitionsrisikos der Kreditnehmer.

This paper provides new evidence of herding due to non- and fundamental information in global equity markets. Using quantile regressions applied to daily data for 33 countries, we investigate herding during the Eurozone crisis, China’s market crash in 2015–2016, in the aftermath of the Brexit vote and during the Covid-19 Pandemic. We find significant evidence of herding driven by non-fundamental information in case of negative tail market conditions for most countries. This study also investigates the relationship between herding and systemic risk, suggesting that herding due to fundamentals increases when systemic risk increases more than when driven by non-fundamentals. Granger causality tests and Johansen’s vector error-correction model provide solid empirical evidence of a strong interrelationship between herding and systemic risk, entailing that herding behavior may be an ex-ante aspect of systemic risk, with a more relevant role played by herding based on fundamental information in increasing systemic risk.

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.