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Co-jumps and recursive preferences in portfolio choices

Author

Listed:
  • Immacolata Oliva

    (Sapienza University of Rome)

  • Ilaria Stefani

    (Sapienza University of Rome)

Abstract

This paper investigates a multivariate, dynamic, continuous-time optimal consumption and portfolio allocation problem when the investor faces recursive utilities. The economy we are considering is described through both diffusion and discontinuities in the dynamics. We derive an approximated closed-form solution to optimal rules by exploiting standard dynamic programming techniques. Our findings are manifold. First, we obtain dynamic optimal weights, inversely proportional to volatility. Second, we show that both co-jumps frequency and intensity play a crucial role, as they considerably limit potential losses in the investors’ wealth. Third, we prove that jumps in precision reinforce the effect of jumps in price, further reducing optimal allocation. Finally, we highlight how co-jumps may influence investors’ choices regarding intertemporal consumption.

Suggested Citation

  • Immacolata Oliva & Ilaria Stefani, 2023. "Co-jumps and recursive preferences in portfolio choices," Annals of Finance, Springer, vol. 19(3), pages 291-324, September.
  • Handle: RePEc:kap:annfin:v:19:y:2023:i:3:d:10.1007_s10436-023-00425-2
    DOI: 10.1007/s10436-023-00425-2
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    References listed on IDEAS

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    More about this item

    Keywords

    Asset allocation; Consumption; Stochastic volatility; Wishart process; Co-jumps; Recursive preferences; Dynamic programming;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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