Machine-Learning in the Chinese Factor Zoo

99 Pages Posted: 18 Feb 2021

See all articles by Markus Leippold

Markus Leippold

University of Zurich - Department of Banking and Finance; University of Zurich - Faculty of Economics, Business Administration and Information Technology

Qian Wang

University of Zurich - Department of Banking and Finance

Wenyu Zhou

affiliation not provided to SSRN

Date Written: December 23, 2020

Abstract

We add to the emerging literature on empirical asset pricing in the Chinese stock market by building and analyzing a comprehensive set of factors with 1,160 signals for return prediction. Using various machine learning algorithms, we investigate which signals dominate in the Chinese market, a market characterized by a large proportion of retail investors with speculative motives, state-owned firms, and short-sales restrictions. Contrary to studies for the U.S. market, liquidity and fundamental factors emerge as the most important predictors, while price trend signals are less significant. We find that retail investors' dominating presence positively affects short-term predictability, particularly for small stocks. Another feature that distinguishes the Chinese from the U.S. market is the high predictability of large stocks and state-owned enterprises over longer horizons. Our portfolio analysis shows that this overall increased predictability leads to significantly higher out-of-sample performance than in other markets, which remains economically significant after transaction costs.

Keywords: Chinese stock market, factor investing, machine learning, model selection

JEL Classification: C52, C55, C58, G0, G1, G17

Suggested Citation

Leippold, Markus and Wang, Qian and Zhou, Wenyu, Machine-Learning in the Chinese Factor Zoo (December 23, 2020). Available at SSRN: https://ssrn.com/abstract=3754339 or http://dx.doi.org/10.2139/ssrn.3754339

Markus Leippold (Contact Author)

University of Zurich - Department of Banking and Finance ( email )

Plattenstrasse 14
Zürich, 8032
Switzerland

University of Zurich - Faculty of Economics, Business Administration and Information Technology ( email )

Plattenstrasse 14
Zürich, 8032
Switzerland

Qian Wang

University of Zurich - Department of Banking and Finance ( email )

Schönberggasse 1
Zürich, 8001
Switzerland

Wenyu Zhou

affiliation not provided to SSRN

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