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Stock market returns, volatility, and future output

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  • Hui Guo

Abstract

In this article, Hui Guo shows that, if stock volatility follows an AR(1) process, stock market returns relate positively to past volatility but relate negatively to contemporaneous volatility in Merton?s (1973) Intertemporal Capital Asset Pricing Model. The model helps explain the recent finding that stock market volatility drives out returns in forecasting real gross domestic product growth because the predictive power of returns is hampered by their positive correlation with past volatility. If the positive relation between returns and past volatility is controlled for, however, the author finds that volatility provides no additional information beyond returns in forecasting output in the post-World War II sample.

Suggested Citation

  • Hui Guo, 2002. "Stock market returns, volatility, and future output," Review, Federal Reserve Bank of St. Louis, vol. 84(Sep), pages 75-86.
  • Handle: RePEc:fip:fedlrv:y:2002:i:sep:p:75-86:n:v.84no.5
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    References listed on IDEAS

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    Cited by:

    1. Siriopoulos, Costas & Fassas, Athanasios, 2012. "An investor sentiment barometer — Greek Implied Volatility Index (GRIV)," Global Finance Journal, Elsevier, vol. 23(2), pages 77-93.
    2. Junttila, Juha & Korhonen, Marko, 2011. "Utilizing financial market information in forecasting real growth, inflation and real exchange rate," International Review of Economics & Finance, Elsevier, vol. 20(2), pages 281-301, April.
    3. Vespignani, Joaquin & Kang, Wensheng & Ratti, Ronald, 2018. "Global Commodity Prices and Global Stock Volatility Shocks," MPRA Paper 84250, University Library of Munich, Germany.
    4. Kang, Wensheng & Ratti, Ronald A. & Vespignani, Joaquin L., 2019. "Revising the Impact of Global Commodity Prices and Global Stock Market Volatility Shocks: Effects across Countries," MPRA Paper 103035, University Library of Munich, Germany.
    5. Scott R. Baker & Nicholas Bloom & Steven J. Davis & Marco C. Sammon, 2021. "What Triggers Stock Market Jumps?," NBER Working Papers 28687, National Bureau of Economic Research, Inc.
    6. Lyócsa, Štefan, 2014. "Growth-returns nexus: Evidence from three Central and Eastern European countries," Economic Modelling, Elsevier, vol. 42(C), pages 343-355.
    7. Kang, Wensheng & Ratti, Ronald A. & Vespignani, Joaquin, 2020. "Global commodity prices and global stock market volatility shocks: Effects across countries," Journal of Asian Economics, Elsevier, vol. 71(C).
    8. Maitra, Debasish & Dash, Saumya Ranjan, 2017. "Sentiment and stock market volatility revisited: A time–frequency domain approach," Journal of Behavioral and Experimental Finance, Elsevier, vol. 15(C), pages 74-91.
    9. Beetsma, Roel & Giuliodori, Massimo, 2012. "The changing macroeconomic response to stock market volatility shocks," Journal of Macroeconomics, Elsevier, vol. 34(2), pages 281-293.
    10. Sulejmani Artan & Tevdovski Dragan, 2022. "How the Contagion is Transmitted to the Macedonian Stock Market? an Analysis of Co-Exceedances," South East European Journal of Economics and Business, Sciendo, vol. 17(1), pages 1-13, June.
    11. Aluko Olufemi Adewale & Adeyeye Patrick Olufemi & Migiro Stephen Oseko, 2017. "Modelling Volatility Persistence and Asymmetry with Structural Break: Evidence from the Nigerian Stock Market," Journal of Economics and Behavioral Studies, AMH International, vol. 8(6), pages 153-160.

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    Stock market; capital asset pricing model;

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