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Time-varying correlations and Sharpe ratios during quantitative easing

Author

Listed:
  • Jones Paul M.

    (Pepperdine University, Seaver College, 24255 Pacific Coast Highway, Malibu, CA 90263, USA)

  • O’Steen Haley

    (University of Georgia, Terry College of Business, Athens, GA 30602, USA)

Abstract

Using an econometric methodology from [Cappiello, Lorenzo, Robert F. Engle, and Kevin Sheppard. 2006. “Asymmetric Dynamics in the Correlations of Global Equity and Bond Returns.” Journal of Financial Econometrics 4 (4): 537–572.], we evaluate time-varying correlations between multiple asset classes using an asymmetric-DCC GARCH model. Specifically, we focus on the changes in these correlations during quantitative easing. We then use these conditional correlations, along with conditional means and variances to find optimal investment portfolios using Markowitz mean-variance minimization. Lastly, we compute time-varying Sharpe ratios. Our results show increasing Sharpe ratios during the period of quantitative easing which suggests that the Federal Reserve’s programs were successful in increasing returns and minimizing risk – i.e. volatility – across several asset classes during the financial crisis.

Suggested Citation

  • Jones Paul M. & O’Steen Haley, 2018. "Time-varying correlations and Sharpe ratios during quantitative easing," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 22(1), pages 1-11, February.
    • Handle: RePEc:bpj:sndecm:v:22:y:2018:i:1:p:11:n:3
    DOI: 10.1515/snde-2016-0083
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    Cited by:

    1. Marco Tronzano, 2021. "Financial Crises, Macroeconomic Variables, and Long-Run Risk: An Econometric Analysis of Stock Returns Correlations (2000 to 2019)," JRFM, MDPI, vol. 14(3), pages 1-25, March.

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