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Anxiety and pro-cyclical risk taking with Bayesian agents
We provide a model that can explain empirically relevant variations in confidence and risk taking by combining horizon-dependent risk aversion (?anxiety?) and selective memory in a Bayesian intrapersonal game. In the time series, overconfidence is more prevalent when actual risk levels are high, while underconfidence occurs when risks are low. In the cross section, more anxious agents are more prone to biased confidence and their beliefs fluctuate more. This systematic variation in confidence levels can lead to objectively excessive risk taking by ?insiders? with the potential to amplify ...
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Anxiety in the face of risk
We model an ?anxious? agent as one who is more risk averse with respect to imminent risks than with respect to distant risks. Based on a utility function that captures individual subjects? behavior in experiments, we provide a tractable theory relaxing the restriction of constant risk aversion across horizons and show that it generates rich implications. We first apply the model to insurance markets and explain the high premia for short-horizon insurance. Then, we show that costly delegated portfolio management, investment advice, and withdrawal fees emerge as endogenous features and ...