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Is Stochastic Volatility relevant for Dynamic Portfolio Choice under Ambiguity?

Author

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  • Gonçalo Faria

    (CEF.UP and Faculdade de Economia (Universidade do Porto) and RGEA (Universidad de Vigo))

  • João Correia-da-Silva

    (CEF.UP and Faculdade de Economia (Universidade do Porto))

Abstract

Literature on dynamic portfolio choice has been finding that volatility risk has low impact on portfolio choice. For example, using long-run U.S. data, Chacko and Viceira (2005) found that intertemporal hedging demand (required by investors for protection against adverse changes in volatility) is empirically small even for highly risk-averse investors. We want to assess if this continues to be true in the presence of ambiguity. Adopting robust control and perturbation theory techniques, we study the problem of a long-horizon investor with recursive preferences that faces ambiguity about the stochastic processes that generate the investment opportunity set. We find that ambiguity impacts portfolio choice, with the relevant channel being the return process. Ambiguity about the volatility process is only relevant if, through a specific correlation structure, it also induces ambiguity about the return process. Using the same long-run U.S. data, we find that ambiguity about the return process may be empirically relevant, much more than ambiguity about the volatility process. Anyway, intertemporal hedging demand is still very low: investors are essentially focused in the short-term risk-return characteristics of the risky asset.

Suggested Citation

  • Gonçalo Faria & João Correia-da-Silva, 2012. "Is Stochastic Volatility relevant for Dynamic Portfolio Choice under Ambiguity?," FEP Working Papers 472, Universidade do Porto, Faculdade de Economia do Porto.
  • Handle: RePEc:por:fepwps:472
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    References listed on IDEAS

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    2. Yacine Aït-Sahalia & Felix Matthys & Emilio Osambela & Ronnie Sircar, 2021. "When Uncertainty and Volatility Are Disconnected: Implications for Asset Pricing and Portfolio Performance," Finance and Economics Discussion Series 2021-063, Board of Governors of the Federal Reserve System (U.S.).
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    More about this item

    Keywords

    Dynamic Portfolio Choice; Stochastic Volatility; Ambiguity; Robust Control; Perturbation Theory;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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