The Academic Director of MCS Program, ZHOU Wenyu, recently published a paper as corresponding author on the Journal of Financial Economics.
Machine Learning in the Chinese stock market
Markus Leippold, Qian Wang, Wenyu Zhou,
Journal of Financial Economics, 2021,
ISSN 0304-405X,
https://doi.org/10.1016/j.jfineco.2021.08.017.
(https://www.sciencedirect.com/science/article/pii/S0304405X21003743)
Abstract: We add to the emerging literature on empirical asset pricing in the Chinese stock market by building and analyzing a comprehensive set of return prediction factors using various machine learning algorithms. Contrasting previous studies for the US market, liquidity emerges as the most important predictor, leading us to closely examine the impact of transaction costs. The retail investors’ dominating presence positively affects short-term predictability, particularly for small stocks. Another feature that distinguishes the Chinese market from the US market is the high predictability of large stocks and state-owned enterprises over longer horizons. The out-of-sample performance remains economically significant after transaction costs.
Keywords: Chinese stock market; Factor investing; Machine learning; Model selection