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Equilibrium-based volatility models of the market portfolio rate of return (peacock tails or stotting gazelles)

Author

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  • David Feldman

    (The University of New South Wales (UNSW))

  • Xin Xu

    (Fair Isaac (FICO))

Abstract

We introduce a theoretical and empirical method of studying equilibrium-consistent volatility models. We implement it with the market portfolio’s return, which is central to financial risk management. Within an equilibrium framework, we study two families of such models. One is deterministic volatility, represented by current popular models. The other is in the “constant elasticity of variance” family, in which we propose new models. Theoretically, we show that, together with constant expected returns, the latter family tends to have better ability to forecast. Empirically, our proposed models, while as easy to implement as the popular ones, outperform them in three out-of-sample forecast evaluations of different time periods, by standard predictability criteria. This is true particularly during high-volatility periods, whether the market rises or falls.

Suggested Citation

  • David Feldman & Xin Xu, 2018. "Equilibrium-based volatility models of the market portfolio rate of return (peacock tails or stotting gazelles)," Annals of Operations Research, Springer, vol. 262(2), pages 493-518, March.
  • Handle: RePEc:spr:annopr:v:262:y:2018:i:2:d:10.1007_s10479-015-1972-8
    DOI: 10.1007/s10479-015-1972-8
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    More about this item

    Keywords

    Market risk; Volatility model; Systematic risk; Market portfolio; Predictive power; Equilibrium; GARCH; RiskMetrics; Piecewise constant volatility; Constant elasticity of variance;
    All these keywords.

    JEL classification:

    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

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