TY - JOUR
T1 - Stock return predictability and model instability
T2 - Evidence from mainland China and Hong Kong
AU - Hong, Hui
AU - Chen, Naiwei
AU - O'Brien, Fergal
AU - Ryan, James
N1 - Publisher Copyright:
© 2017 Board of Trustees of the University of Illinois
PY - 2018/5
Y1 - 2018/5
N2 - This study examines the predictability of the Shanghai Composite, Shenzhen Composite and the Hang Seng China Enterprise index returns during the period 1993 to 2010, with emphasis on whether considering structural breaks in model parameters improves the stock return predictability. Results indicate higher linear stock return predictability for the Hong Kong market than for the Chinese markets. However, the results differ when model instability is considered. Specifically, using Bai and Perron's (1998, 2003) approach, the results indicate the presence of structural breaks particularly for the Shenzhen market, which appear to coincide with major economic events or political and institutional changes. The predictable component in stock returns is also time-varying when re-estimating the model over different subsamples defined by the break. Overall, results highlight the importance of considering breaks in forecasting stock returns, and suggest that the Hong Kong market is a relatively ideal haven to park wealth for risk-averse investors whereas the Shenzhen market offers enhanced opportunities for risk-seeking investors.
AB - This study examines the predictability of the Shanghai Composite, Shenzhen Composite and the Hang Seng China Enterprise index returns during the period 1993 to 2010, with emphasis on whether considering structural breaks in model parameters improves the stock return predictability. Results indicate higher linear stock return predictability for the Hong Kong market than for the Chinese markets. However, the results differ when model instability is considered. Specifically, using Bai and Perron's (1998, 2003) approach, the results indicate the presence of structural breaks particularly for the Shenzhen market, which appear to coincide with major economic events or political and institutional changes. The predictable component in stock returns is also time-varying when re-estimating the model over different subsamples defined by the break. Overall, results highlight the importance of considering breaks in forecasting stock returns, and suggest that the Hong Kong market is a relatively ideal haven to park wealth for risk-averse investors whereas the Shenzhen market offers enhanced opportunities for risk-seeking investors.
KW - China
KW - Hong Kong
KW - Model instability
KW - return predictability
KW - structural breaks
UR - http://www.scopus.com/inward/record.url?scp=85044632170&partnerID=8YFLogxK
U2 - 10.1016/j.qref.2017.11.007
DO - 10.1016/j.qref.2017.11.007
M3 - Article
AN - SCOPUS:85044632170
SN - 1062-9769
VL - 68
SP - 132
EP - 142
JO - Quarterly Review of Economics and Finance
JF - Quarterly Review of Economics and Finance
ER -