Procyclical volatility in Chinese stock markets

Research output: Journal PublicationArticlepeer-review

Abstract

We investigate the macroeconomic determinants of stock market volatility in China using the two-component GARCH-MIDAS model of Engle et al. (Rev Econ Stat 95:776–797, 2013). Our analysis shows that both current macroeconomic conditions and macroeconomic expectations impact the long-term component of stock volatility. Chinese macroeconomic data contain more information about Chinese stock market volatility than US macroeconomic data. We provide strong evidence that the long-term volatility is procyclical and increases with the growth rate of industrial production and retail sales. This finding can be explained by the fact that, in China, the volatility of macroeconomic fundamentals is itself procyclical. Finally, we find that specifications that include macroeconomic variables generate superior stock volatility predictions compared to alternative models that do not contain those variables.

Original languageEnglish
Pages (from-to)1117-1144
Number of pages28
JournalReview of Quantitative Finance and Accounting
Volume58
Issue number3
Early online date29 Sep 2021
DOIs
Publication statusPublished Online - 29 Sep 2021

Keywords

  • Forecasting
  • GARCH-MIDAS
  • Macroeconomic indicators
  • Volatility

ASJC Scopus subject areas

  • Accounting
  • Business, Management and Accounting (all)
  • Finance

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