In this Paper we develop a model of intertemporal portfolio choice where an investor accounts explicitly for the possibility of model misspecification. This work is motivated by the difficulty in estimating precisely the probability law for asset returns. Our contribution is to develop a...

In this paper, we show how an investor can incorporate uncertainty about expected returns when choosing a mean-variance optimal portfolio. In contrast to the Bayesian approach to estimation error, where there is only a single prior and the investor is neutral to uncertainty, we consider the case...

Portfolio choice and the implied asset pricing are usually derived assuming maximization of expected utility. In this Paper, they are derived from risk-value models that generalize the Markowitz-model. We use a behaviourally based risk measure with an endogenous or exogenous benchmark. If the...

Portfolio theory must address the fact that, in reality, portfolio managers are evaluated relative to a benchmark, and therefore adopt risk management practices to account for the benchmark performance. We capture this risk management consideration by allowing a prespecified shortfall from a...

Economic theory suggests that uninsurable income risk, health risk and the expectation of future borrowing constraints can reduce the share of risky assets in a household's portfolio. In fact, if its utility function exhibits decreasing absolute risk aversion and decreasing prudence, a household...

This experimental study is concerned with the impact of the timing of the resolution of risk on people’s willingness to take risks, with a special focus on the role of affect. While the importance of anticipatory emotions has so far been only inferred from decisions regarding hypothetical...

In this paper, we show how an investor can incorporate uncertainty about expected returns when choosing a mean-variance optimal portfolio. In contrast to the Bayesian approach to estimation error, where there is only a single prior and the investor is neutral to uncertainty, we consider the case...

This paper proposes a new approach for modeling investor fear after rare disasters. The key element is to take into account that investors' information about fundamentals driving rare downward jumps in the dividend process is not perfect. Bayesian learning implies that beliefs about the...

Absent much theory, empirical works often rely on the following informal reasoning when looking for evidence of a mutual fund tournament: If there is a tournament, interim winners have incentives to decrease their portfolio volatility as they attempt to protect their lead, while interim losers...

Despite much work on hedging in incomplete markets, the literature still lacks tractable dynamic hedges in plausible environments. In this article, we provide a simple solution to this problem in a general incomplete-market economy in which a hedger, guided by the traditional minimum-variance...