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Market Timing In Parametric Portfolio Policies

Author

Listed:
  • CARLOS OSORIO

    (Chair of Finance, University of Bremen, Enrique-Schmidt-Straße 1, Bremen 28359, Germany)

  • THORSTEN PODDIG

    (Chair of Finance, University of Bremen, Enrique-Schmidt-Straße 1, Bremen 28359, Germany)

  • CHRISTIAN FIEBERG

    (Empirical Capital Market Research and Derivatives, University of Bremen, Enrique-Schmidt-Straße 1, Bremen 28359, Germany)

  • MICHAEL OLSCHEWSKY

    (Quantitative Asset Management, Treasury, Hamburger Sparkasse, Wikingerweg 1, Hamburg 20537, Germany)

  • MICHAEL FALGE

    (Chair of Finance, University of Bremen, Enrique-Schmidt-Straße 1, Bremen 28359, Germany)

Abstract

We extend the parametric portfolio policies that exploit firm characteristics to optimize portfolios of stocks and are thus based on asset selection. In addition to this, our extension exploits market indicators for market timing purposes (i.e. optimal allocations between stocks and a risk-free asset). We demonstrate the mechanics of the proposed technique in simulation studies. Specifically, we show that the extended approach is able to produce portfolios based on selection and timing that outperform portfolios that only apply selection, when the applied market indicators have sufficient predictive power. In purely demonstrative empirical applications, we illustrate how investors can use our optimization approach using common market indicators.

Suggested Citation

  • Carlos Osorio & Thorsten Poddig & Christian Fieberg & Michael Olschewsky & Michael Falge, 2022. "Market Timing In Parametric Portfolio Policies," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 25(04n05), pages 1-28, June.
  • Handle: RePEc:wsi:ijtafx:v:25:y:2022:i:04n05:n:s0219024922500182
    DOI: 10.1142/S0219024922500182
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