Economic policy uncertainty and the Chinese stock market volatility: new evidence

被引:55
作者
Li, Yu [1 ]
Ma, Feng [1 ]
Zhang, Yaojie [2 ]
Xiao, Zuoping [3 ]
机构
[1] Southwest Jiaotong Univ, Sch Econ & Management, Chengdu, Sichuan, Peoples R China
[2] Nanjing Univ Sci & Technol, Sch Econ & Management, Nanjing, Jiangsu, Peoples R China
[3] Hangzhou Dianzi Univ, Sch Accountancy, Hangzhou, Zhejiang, Peoples R China
基金
中国国家自然科学基金;
关键词
Volatility forecasting; the Chinese stock market; G7; monthly realized volatility; economic policy uncertainty; diffusion index; FORECASTING REALIZED VOLATILITY; OIL PRICE VOLATILITY; CRUDE-OIL; MACROECONOMIC FUNDAMENTALS; COMBINATION FORECASTS; US STOCK; RISK; RETURNS; MODEL; PREDICTION;
D O I
10.1080/00036846.2019.1613507
中图分类号
F [经济];
学科分类号
02 ;
摘要
This study investigates the impacts of the economic policy uncertainty (EPU) indexes of China and the G7 countries on Chinese stock market volatility and further constructs a new diffusion index based on these indexes using principal component analysis (PCA) to achieve enhanced predictive ability. The in-sample results indicate that the EPU indexes of China and some of the G7 countries show a significantly negative impact on future volatility. Moreover, our constructed diffusion index also has a significantly negative impact. Furthermore, the out-of-sample results show that this diffusion index exhibits a significantly higher forecast accuracy than the EPU itself and combination forecasts. Finally, various robustness checks are consistent with our main conclusions. Overall, we construct a new and useful indicator that can substantially increase forecast accuracy with respect to the Chinese stock market.
引用
收藏
页码:5398 / 5410
页数:13
相关论文
共 73 条
[1]   Out of sample forecasts of quadratic variation [J].
Ait-Sahalia, Yacine ;
Mancini, Loriano .
JOURNAL OF ECONOMETRICS, 2008, 147 (01) :17-33
[2]   Model Uncertainty and Forecast Combination in High-Dimensional Multivariate Volatility Prediction [J].
Amendola, Alessandra ;
Storti, Giuseppe .
JOURNAL OF FORECASTING, 2015, 34 (02) :83-91
[3]   Volatility Forecasting: Downside Risk, Jumps and Leverage Effect [J].
Audrino, Francesco ;
Hu, Yujia .
ECONOMETRICS, 2016, 4 (01)
[4]   Investor sentiment in the stock market [J].
Baker, Malcolm ;
Wurgler, Jeffrey .
JOURNAL OF ECONOMIC PERSPECTIVES, 2007, 21 (02) :129-151
[5]   Measuring Economic Policy Uncertainty [J].
Baker, Scott R. ;
Bloom, Nicholas ;
Davis, Steven J. .
QUARTERLY JOURNAL OF ECONOMICS, 2016, 131 (04) :1593-1636
[6]  
Barndorff-Nielsen O. E., 2006, Journal of Financial Econometrics, V4, P1, DOI DOI 10.1093/JJFINEC/NBH001
[7]   Realizing the extremes: Estimation of tail-risk measures from a high-frequency perspective [J].
Bee, Marco ;
Dupuis, Debbie J. ;
Trapin, Luca .
JOURNAL OF EMPIRICAL FINANCE, 2016, 36 :86-99
[8]   The VIX, the variance premium and stock market volatility [J].
Bekaert, Geert ;
Hoerova, Marie .
JOURNAL OF ECONOMETRICS, 2014, 183 (02) :181-192
[9]   Incorporating economic policy uncertainty in US equity premium models: A nonlinear predictability analysis [J].
Bekiros, Stelios ;
Gupta, Rangan ;
Majumdar, Anandamayee .
FINANCE RESEARCH LETTERS, 2016, 18 :291-296
[10]   Economic policy uncertainty and risk spillovers in the Eurozone [J].
Bernal, Oscar ;
Gnabo, Jean-Yves ;
Guilmin, Gregory .
JOURNAL OF INTERNATIONAL MONEY AND FINANCE, 2016, 65 :24-45