Testing for stock return predictability in a large Chinese panel

Joakim Westerlund, Paresh Kumar Narayan, Xinwei Zheng

Research output: Contribution to journalArticleResearchpeer-review

25 Citations (Scopus)


This paper proposes a simple panel data test for stock return predictability that is flexible enough to accommodate three key salient features of the data, namely, predictor persistency and endogeneity, and cross-sectional dependence. Using a large panel of Chinese stock market data comprising more than one million observations, we show that most financial and macroeconomic predictors are in fact able to predict returns. We also show how the extent of the predictability varies across industries and firm sizes.

Original languageEnglish
Pages (from-to)81-100
Number of pages20
JournalEmerging Markets Review
Publication statusPublished - Sep 2015
Externally publishedYes


  • Bias
  • China
  • Cross-section dependence
  • Panel data
  • Predictive regression
  • Stock return predictability

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