Publication Type
Journal Article
Version
acceptedVersion
Publication Date
2-2017
Abstract
This paper investigates the predictive ability of international volatility risks for the daily Chinese stock market returns. We employ the innovations in implied volatility indexes of seven major international markets as our international volatility risk proxies. We find that international volatility risks are negatively associated with contemporaneous Chinese daily overnight stock returns, while positively forecast next-day Chinese daytime stock returns. The US volatility risk (ΔVIX) is particularly powerful in forecasting Chinese stock returns, and plays a dominant role relative to the other six international volatility measures. ΔVIX's forecasting power remains strong after controlling for Chinese domestic volatility and is robust in- and out-of-sample. Economically, high ΔVIX forecasts high Chinese domestic market volatility, low trading activity, and low market liquidity, indicating that both ICAPM and liquidity risk help to explain international volatility risks' predictive power for Chinese stock returns.
Keywords
Return predictability, Implied volatility, Chinese stock market, ICAPM, Liquidity risk
Discipline
Asian Studies | Finance and Financial Management | Portfolio and Security Analysis
Research Areas
Finance
Publication
Journal of International Money and Finance
Volume
70
First Page
183
Last Page
203
ISSN
0261-5606
Identifier
10.1016/j.jimonfin.2016.08.007
Publisher
Elsevier
Citation
CHEN, Jian; JIANG, Fuwei; LIU, Yangshu; and Jun TU.
International Volatility Risk and Chinese Stock Return Predictability. (2017). Journal of International Money and Finance. 70, 183-203.
Available at: https://ink.library.smu.edu.sg/lkcsb_research/5080
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1016/j.jimonfin.2016.08.007
Included in
Asian Studies Commons, Finance and Financial Management Commons, Portfolio and Security Analysis Commons