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Information updating and the bounce-back effect of stock market returns

Author

Listed:
  • Sainan Huang
  • Songlin Zeng

Abstract

Purpose - – Bounce-back effect of stock market returns has been found empirically using different approaches. However, few paper explains the underlying mechanism. The paper aims to discuss these issues. Design/methodology/approach - – This paper fills this gap and provides an explanation for bounce-back effect in stock market. Findings - – This paper contributes to the literature in threefold. The authors contribute a formal economic model to rationalize the bounce-back effect of stock market returns. It is based on a model of stock return with volatility feedback under the assumption of Markov-Switching market volatility. Originality/value - – The authors use the general Markov-Switching bounce-back model, developed by Becet al.(2015), to provide empirical evidence for the existence of bounce-back effect in stock market. The empirical result shows “W” shape of bounce-back effect, which is exactly the same as predicted by the economic theoretical model. Finally, the authors propose an alternative approach to estimate the magnitude of volatility feedback and the marginal effect on the expected return of an anticipated high variance regime.

Suggested Citation

  • Sainan Huang & Songlin Zeng, 2016. "Information updating and the bounce-back effect of stock market returns," China Finance Review International, Emerald Group Publishing Limited, vol. 6(1), pages 96-107, February.
  • Handle: RePEc:eme:cfripp:v:6:y:2016:i:1:p:96-107
    DOI: 10.1108/CFRI-06-2015-0100
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    More about this item

    Keywords

    Bounce-back effect; Markov-Switching model; Stock market returns; Volatility feedback; C22; G10;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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