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The reverse volatility asymmetry in Chinese financial market

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  • Die Wan
  • Ke Cheng
  • Xiaoguang Yang

Abstract

We investigate the intraday return-volatility correlation in Chinese financial market with high-frequency transaction data of individual stocks. In contrast to the widely accepted theory of volatility asymmetry (i.e. negative returns induce higher price volatilities than positive ones), we show that the price volatilities in Chinese market react more intensively to positive returns than their reaction to negative returns. This reverse volatility asymmetry is mainly due to the higher trading volume associated with positive returns, that is, in Chinese market the investors' rushing for a price rising stock makes the positive returns arouse higher volatility than their negative counterparts. So in an average sense, a positive return-volatility correlation is observed for most of the individual stocks in our sample. Besides, price jumps play an important role in the significance of this positive correlation. For most of the individual stocks in our sample, the positive correlation is insignificant until jumps are totally eliminated in both return and volatility. For multiple stocks analysed together, the jumps of individual stocks are mostly diversified, and therefore a significant positive return-volatility correlation shows up irrespective of the existence of jumps. Moreover, our results are robust in different market conditions, no matter in depression or flourish.

Suggested Citation

  • Die Wan & Ke Cheng & Xiaoguang Yang, 2014. "The reverse volatility asymmetry in Chinese financial market," Applied Financial Economics, Taylor & Francis Journals, vol. 24(24), pages 1555-1575, December.
  • Handle: RePEc:taf:apfiec:v:24:y:2014:i:24:p:1555-1575
    DOI: 10.1080/09603107.2013.818208
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    Cited by:

    1. Rui Liu & Jiayou Liang & Haolong Chen & Yujia Hu, 2024. "Analyst Reports and Stock Performance: Evidence from the Chinese Market," Papers 2411.08726, arXiv.org.
    2. Hsu, Yu-Lin & Tang, Leilei, 2022. "Effects of investor sentiment and country governance on unexpected conditional volatility during the COVID-19 pandemic: Evidence from global stock markets," International Review of Financial Analysis, Elsevier, vol. 82(C).
    3. Hisham Al Refai & Gazi Mainul Hassan, 2018. "The Impact of Market-wide Volatility on Time-varying Risk: Evidence from Qatar Stock Exchange," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 17(2_suppl), pages 239-258, August.
    4. Irene Cherono & Tobias Olweny & Tabitha Nasieku, 2019. "Investor Behavior Biases and Stock Market Reaction in Kenya," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 9(1), pages 1-6.

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