On cross-stock predictability of peer return gaps in China

• Our proposed Peer Return Gap (PRG) variable predicts stock returns in China. • A portfolio strategy based on the PRG generates significant abnormal returns. • We provide empirical evidence of cross-stock predictability in Chinese stock markets. While many studies document cross-stock predictability where returns of some stocks pre- dict returns of other similar stocks, most evidence comes from US markets. Following Chen et al. (2019), we identify peer firms based on historical return similarity and construct a Peer Return Gap (PRG) measure, defined as the difference between a stock’s lagged return and its peers’ returns. Our empirical evidence from Chinese markets shows that past-return-linked peers strongly predict focal firm returns. A long-short portfolio sorted on PRG generates an equal-weighted monthly return of 1.26% ( t = 3 . 81) and a Fama-French five-factor alpha of 1.10% ( t = 2 . 86). These abnormal returns remain unexplained by several alternative factor models.

Authors

Institutions

Publication Details

Journal
Finance Research Open
Published
2025-12-20
DOI
https://doi.org/10.1016/j.finr.2025.100088
Primary Topic
Financial Markets and Investment Strategies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On cross-stock predictability of peer return gaps in China

Yilin Chen, Zheqi Fan
Finance Research Open
Financial Markets and Investment Strategies
article

On cross-stock predictability of peer return gaps in China

Yilin Chen, Zheqi Fan
article en

Abstract

• Our proposed Peer Return Gap (PRG) variable predicts stock returns in China. • A portfolio strategy based on the PRG generates significant abnormal returns. • We provide empirical evidence of cross-stock predictability in Chinese stock markets. While many studies document cross-stock predictability where returns of some stocks pre- dict returns of other similar stocks, most evidence comes from US markets. Following Chen et al. (2019), we identify peer firms based on historical return similarity and construct a Peer Return Gap (PRG) measure, defined as the difference between a stock’s lagged return and its peers’ returns. Our empirical evidence from Chinese markets shows that past-return-linked peers strongly predict focal firm returns. A long-short portfolio sorted on PRG generates an equal-weighted monthly return of 1.26% ( t = 3 . 81) and a Fama-French five-factor alpha of 1.10% ( t = 2 . 86). These abnormal returns remain unexplained by several alternative factor models.

Finance Research OpenVol. 2(1)
Hong Kong University of Science and Technology (HK), Hong Kong Academy of Medicine (CN), University of Hong Kong (HK), South China University of Technology (CN)
Openalex Percentile: Top 50%
Financial Markets and Investment Strategies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

On cross-stock predictability of peer return gaps in China — Yilin Chen, Zheqi Fan · Finance Research Open (2025) | TGRS Research Map | TGRS