We study an adverse-selection model in which the distribution of the asset is affected by unobservable actions of the seller. The seller's equilibrium behavior is characterized by a risk-seeking disposition, and a competitive market, in which the underlying distribution of the traded asset is...

Women are stereotyped as more risk averse than men. Empirical and experimental investigations seem to support the stereotype, yet they tackle different and often unrelated aspects. Reliable predictions on gender specific differences in risky choices are hardly possible since there is no common...

Representing ambiguity in the laboratory using a Bingo Blower (which is transparent and not manipulable) and asking the subjects a series of allocation questions (which are more efficient than pairwise choice questions), we obtain data from which we can estimate by maximum likelihood methods...

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...

Laboratory experiments conducted on college students suggest that emotions influence risk-taking during decisions-making. As the capacity to measure emotions in the field has been limited, however, it is unclear whether findings can be generalized to real world situations such as high-stakes...

A time homogeneous, purely discontinuous, parsimonous Markov martingale model is proposed for the risk neutral dynamics of equity forward prices. Transition probabilities are in the variance gamma class with spot dependent parameters. Markov chain approximations give access to option prices. The...

Companies are increasingly adopting Artificial Intelligence (AI) today. Recently however debates started over the risk of human cognitive biases being replicated (and scaled) by AI. Research on biases in AI predicting consumer choice is incipient and focuses on observable biases. We provide a...