Cumulative Prospect Theory (CPT) can explain the variance premium puzzle. We solve a simple equilibrium model with CPT investors and find that probability weighting plays a key role in generating a substantial variance premium, while loss aversion captures the equity premium. Using GMM on a...

We develop a tractable equilibrium asset pricing model with Cumulative Prospect Theory (CPT) preferences. Using GMM on a sample of U.S. equity index option returns, we show that by introducing a single common probability weighting parameter for both tails of the return distribution, the CPT...

We evaluate whether machine learning methods can better model excess portfolio returns compared to the standard regression-based strategies generally used in the finance and econometric literature. We examine 17 benchmark factor model specifications based on Expected Utility Theory and theory...

In 1995, Benartzi and Thaler introduced the concept myopic loss aversion to explain the equity premium puzzle. They provided empirical evidence to support their arguments. Recently, Durand, et al. criticized this empirical analysis. They propose an approach which not only rejects the...

Returns to both traditional and risk-managed momentum strategies are non-normal, reducing the efficacy of the Sharpe ratio as an evaluation tool. To account for the higher moments of the return distribution, we evaluate momentum using the framework of myopic loss aversion. Under this framework,...

This paper studies the wealth and pricing implications of loss aversion in the presence of arbitrageurs with Epstein-Zin preferences. Loss aversion affects an investor's survival prospects mainly through its effect on the investor's portfolio holdings. Loss-averse investors will be driven out of...

We investigate whether alternative asset classes should be included in optimal portfolios of the most prominent investor personae in the Behavioral Finance literature, namely, the Cumulative Prospect Theory, the Markowitz and the Loss Averse types of investors. We develop a stochastic spanning...