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A study of data-driven momentum and disposition effects in the Chinese stock market by functional data analysis

Cao, R., Horváth, L., Liu, Z., Zhao, Y. (2020) A study of data-driven momentum and disposition effects in the Chinese stock market by functional data analysis. Review of Quantitative Finance and Accounting, 54 (1). pp. 335-358. ISSN 0924-865X. (doi:10.1007/s11156-019-00791-x) (KAR id:93925)

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Official URL:
http://dx.doi.org/10.1007/s11156-019-00791-x

Abstract

We apply a functional data analysis approach to decompose the cross-sectional Fama–French three-factor model residuals in the Chinese stock market. Our results indicate that other than Fama–French three factors, there are two orthonormal asset pricing factors describing the behavioral biases in their historical performances: between winner and loser stocks, and extreme and mediocre-performing stocks, respectively. We explain these two factors through investors’ overreaction, overconfidence and the lead-lag effect. These findings empirically show the existence of momentum and disposition effects in the Chinese stock market. A buy-and-hold mean-variance optimized portfolio incorporating these two market anomalies boosts the Sharpe ratio to 1.27.

Item Type: Article
DOI/Identification number: 10.1007/s11156-019-00791-x
Uncontrolled keywords: Momentum effect, Disposition effect, Functional principal component analysis, Portfolio selection, Chinese stock market
Subjects: H Social Sciences
H Social Sciences > HG Finance
Divisions: Divisions > Kent Business School - Division > Department of Accounting and Finance
Depositing User: Yuqian Zhao
Date Deposited: 17 May 2022 10:02 UTC
Last Modified: 18 May 2022 10:27 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/93925 (The current URI for this page, for reference purposes)
Zhao, Y.: https://orcid.org/0000-0002-5396-3316
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