Companies are under an increasing pressure by policy makers to publicize data breaches. Such notification obligations require announcing the loss of personal data collected from customers, because of hacker attacks or other incidents. While notification is likely to impact on firms’...

Out-of-sample prediction is the ultimate validity test of risk models for which theoretical appeal and justifications are irrelevant to the prediction results. Empirically, we show that all prominent risk models including Cumulative Prospect Theory (CPT), Expected Utility Theory (EUT), Rank...

Using a laboratory experiment, we identify whether decision makers consider it a mistake to violate canonical choice axioms. To do this, we incentivize subjects to report which of several axioms they want their decisions to satisfy. Then, subjects make lottery choices which might conflict with...

We find consistent evidence of negative autocorrelation in decision-making that is unrelated to the merits of the cases considered in three separate high-stakes field settings: refugee asylum court decisions, loan application reviews, and major league baseball umpire pitch calls. The evidence is...

Influential economic approaches as random utility models or quantal-response equilibria assume a monotonic relation between error rates and choice difficulty or "strength of preference", in line with widespread evidence from discrimination tasks in psychology and neuroscience. However, while the...

We examine whether professional money managers overreact to large climatic disasters. We find that managers within a major disaster region underweight disaster zone stocks to a much greater degree than distant managers and that this aversion to disaster zone stocks is related to a salience bias...

Current decision-making models assume that an individual's attitude towards risk does not vary across different sources. A decision maker's processing of known probabilities and the resulting degree of probability weighting should therefore be unique. This paper provides evidence that challenges...

We analyze the ``convex level sets" (CxLS) property of risk functionals, which is a necessary condition for the notions of elicitability, identifiability and backtestability, popular in the recent statistics and risk management literature. We put the CxLS property in the multi-dimensional...