This paper aims to analyze so-called anomalies or additional risk factors (other than market risk) on the Hong Kong stock exchange. To do so, we first select arbitrarily several factors that we a priori believe to be significant, we then collect the data and evaluate the returns associated with...

In investment, particularly in the portfolio management, the risk and returns are two crucial measures in making investment decisions. This paper attempts to provide a brief theoretical explanation with examples on determining the returns and associated risk of shares, and of the portfolio of...

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...

We merge the literature on downside return risk and liquidity risk and introduce the concept of extreme downside liquidity (EDL) risks. The cross-section of stock returns reflects a premium if a stock's return (liquidity) is lowest at the same time when the market liquidity (return) is lowest....

During 2008, the sudden widening of credit spreads led to a rapid decrease in the value of many financial assets, revealing a general shortage of capital for many financial institutions, with some critical peaks that required fund injection and public bailouts.The evidence of a substantial...

Alpha Uncertainty Principle introduces a new relationship between alpha potential and alpha uncertainty. Alpha uncertainty increases with degrees of freedom used in active management. This uncertainty cost has been largely ignored by investors. As a result free put options have been written to...

This paper examines whether rare disaster can predict stock returns. We construct an aggregate rare disaster index by imposing the partial least square (PLS) approach on six news-implied rare disaster proxies of Manela and Moreira (2017). Our disaster measure strongly predicts monthly excess...

This paper contributes to the literature on cryptocurrencies, portfolio management and estimation risk by comparing the performance of naïve diversification, Markowitz diversification and the advanced Black-Litterman model with VBCs that controls for estimation errors in a portfolio of...