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How does news flow affect cross-market volatility spillovers? Evidence from China’s stock index futures and spot markets

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  • Zhou, Xinmiao
  • Zhang, Junru
  • Zhang, Zhaoyong

Abstract

This paper examines how news flow affects cross-market volatility spillovers and price discovery process in China’s stock market and index futures market. We find robust evidence confirming dominant predicting power of the stock market in the price discovery process, and presence of asymmetric and persistent volatility effects. The results show that volatility spillovers are bidirectional between stock index futures and spot prices, and news release has significant and positive association with the dynamic conditional correlation between the index spot and the index futures markets. These have important implications for effective hedging and portfolio management decision in emerging markets.

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  • Zhou, Xinmiao & Zhang, Junru & Zhang, Zhaoyong, 2021. "How does news flow affect cross-market volatility spillovers? Evidence from China’s stock index futures and spot markets," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 196-213.
  • Handle: RePEc:eee:reveco:v:73:y:2021:i:c:p:196-213
    DOI: 10.1016/j.iref.2021.01.003
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    More about this item

    Keywords

    Chinese stock index futures market; Price discovery; Volatility spillover effect; Public information arrival;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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