Testing for stock return predictability in a large Chinese panel
Joakim Westerlund,
Paresh Narayan () and
Xinwei Zheng
Emerging Markets Review, 2015, vol. 24, issue C, 81-100
Abstract:
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.
Keywords: Panel data; Bias; Cross-section dependence; Predictive regression; Stock return predictability; China (search for similar items in EconPapers)
JEL-codes: C22 C23 G1 G12 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (23)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S156601411500028X
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Testing for stock return predictability in a large Chinese panel (2015) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ememar:v:24:y:2015:i:c:p:81-100
DOI: 10.1016/j.ememar.2015.05.004
Access Statistics for this article
Emerging Markets Review is currently edited by Jonathan A. Batten
More articles in Emerging Markets Review from Elsevier
Bibliographic data for series maintained by Catherine Liu ().