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...

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 considers a general-equilibrium model with loss-aversion in consumption and heterogeneity: there is a continuum of agents, with s-shaped utility, who differ in the time-varying reference level of consumption. Heterogeneity in the reference level is crucial for the existence of the...

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...

This article aims to extend evaluation of the classic multifactor model of Carhart (1997) for the case of global equity indices and to expand analysis performed in Sakowski et. al. (2015). Our intention is to test several modifications of these models to take into account different dynamics 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...

This paper investigates the risk and return properties of a trading strategy for the cryptocurrency market. The main predictive power for portfolio formation comes from a simple prospect theory model that only uses price information readily available. The dataset consists of a large body of...