In this paper, we document the importance of memory in machine learning (ML)-based models relying on firm characteristics for asset pricing. We find that predictive algorithms perform best when they are trained on long samples, with long-term returns as dependent variables. In addition, we...

This paper explores how systematic higher order moments (co-skewness and co-kurtosis) are priced in Borsa Istanbul. We tested the significance of higher order co-moments and analyzed their contribution to the standard capital asset pricing model and the Fama and French (2015) 5-factor model. We...

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...

Traditional measures of assessment of mutual fund performance (alpha) are based mostly on Capital Assets Pricing Model which presupposes fixed sensitivity of risk exposure of a fund to its market proxy (beta). However, changing economic conditions will alter this relationship. In conditional...

This paper studies the evolution of the greenium, i.e. a risk premium linked to firms' greenness and environmental transparency, based on individual stock returns. We estimate an asset pricing model with time-varying risk premia, where the greenium is associated to a priced 'greenness and...

This study suggests a new measure for a firm's operating cost flexibility. Flexible firms are less risky and, therefore, require lower stock returns. This analysis of 126,202 firm-year observations from the U.S. cross-section of stock returns finds that the new measure explains a negative...

Abstract: The amount of literature on factors that explain the cross-sectional variation in average returns is vast, however, the majority of these papers attempt to explain the variation of returns in developed and emerging markets. In that sense, the literature lacks sufficient evidence...

The firm size and value anomalies are the global-level counterpart for explaining the cross-sectional variations of equity returns. The purpose of this paper is to examine the size, value effects and the explanatory power of three well-known pricing models - CAPM, three-and five-factor across...

This paper studies portfolio optimization through improvements of ex-ante conditional covariance estimates. We use the cross-section of stock returns over a 52-year sample to analyze trading performance by implementing the machine learning algorithm of hierarchical clustering. We find that...

This paper examines the risk premium associated with information shocks in equity markets. For all stocks traded on Borsa Istanbul between March 2005 and December 2020, we calculate information shocks as unanticipated information asymmetry by focusing on changes in the proportion of the...