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Effect of Uncertainty on U.S. Stock Returns and Volatility: Evidence from Over Eighty Years of High-Frequency Data

Author

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  • Rangan Gupta

    (Department of Economics, University of Pretoria, Pretoria, South Africa)

  • Hardik A. Marfatia

    (Department of Economics, Northeastern Illinois University, BBH 344G, 5500 N. St. Louis Ave., Chicago, IL 60625, USA)

  • Eric Olson

    (College of Business and Economics, West Virginia University, Morgantown, WV 26506, USA)

Abstract

In this paper, we analyse the asymmetric impact of financial uncertainty shocks on stock returns and volatility of the U.S. equity market over the period of 18th March, 1936 to 30th November, 2016, by controlling for impact of monetary policy shocks and recessions. We find that positive growth rates of uncertainty reduce stock returns and increases volatility, while, negative growth rates of uncertainty primarily reduce stock market variance. Further, the impact of changes in uncertainty on volatility is found to be asymmetric in the statistical sense. A rolling window estimation over the period of 30th June, 1954 to 30th November, 2016, shows that there is significant time variation in the impact of uncertainty, though the direction of impact largely confirms with the static case. Our study provides new evidence that the impact of financial uncertainty on the U.S. equity markets is intuitively consistent even in the historical and high-frequency context.

Suggested Citation

  • Rangan Gupta & Hardik A. Marfatia & Eric Olson, 2019. "Effect of Uncertainty on U.S. Stock Returns and Volatility: Evidence from Over Eighty Years of High-Frequency Data," Working Papers 201942, University of Pretoria, Department of Economics.
  • Handle: RePEc:pre:wpaper:201942
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    Cited by:

    1. Rangan Gupta & Hardik A. Marfatia & Christian Pierdzioch & Afees A. Salisu, 2022. "Machine Learning Predictions of Housing Market Synchronization across US States: The Role of Uncertainty," The Journal of Real Estate Finance and Economics, Springer, vol. 64(4), pages 523-545, May.
    2. Bonato, Matteo & Çepni, Oğuzhan & Gupta, Rangan & Pierdzioch, Christian, 2021. "Do oil-price shocks predict the realized variance of U.S. REITs?," Energy Economics, Elsevier, vol. 104(C).
    3. Plakandaras, Vasilios & Gupta, Rangan & Balcilar, Mehmet & Ji, Qiang, 2022. "Evolving United States stock market volatility: The role of conventional and unconventional monetary policies," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
    4. Ioannis Chatziantoniou & David Gabauer & Hardik A. Marfatia, 2022. "Dynamic connectedness and spillovers across sectors: Evidence from the Indian stock market," Scottish Journal of Political Economy, Scottish Economic Society, vol. 69(3), pages 283-300, July.
    5. Elie Bouri & Rangan Gupta & Clement Kweku Kyei & Sowmya Subramaniam, 2020. "High-Frequency Movements of the Term Structure of Interest Rates of the United States: The Role of Oil Market Uncertainty," Working Papers 202085, University of Pretoria, Department of Economics.
    6. Bouri, Elie & Gupta, Rangan & Kyei, Clement Kweku & Shivambu, Rinsuna, 2021. "Uncertainty and daily predictability of housing returns and volatility of the United States: Evidence from a higher-order nonparametric causality-in-quantiles test," The Quarterly Review of Economics and Finance, Elsevier, vol. 82(C), pages 200-206.
    7. Ruipeng Liu & Rangan Gupta, 2022. "Investors’ Uncertainty and Forecasting Stock Market Volatility," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 23(3), pages 327-337, July.

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    More about this item

    Keywords

    Uncertainty; Stock Returns and Volatility; Asymmetry; Rolling Estimation;
    All these keywords.

    JEL classification:

    • 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
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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