IDEAS home Printed from https://ideas.repec.org/a/spr/finsto/v5y2001i4p447-467.html
   My bibliography  Save this article

Optimal portfolio management rules in a non-Gaussian market with durability and intertemporal substitution

Author

Listed:
  • Kristin Reikvam

    (Department of Mathematics, University of Oslo, P.O. Box 1053, Blindern, N-0316 Oslo, Norway and MaPhySto - Centre for Mathematical Physics and Stochastics, University of Aarhus, Ny Munkegade, DK-8000 Å rhus, Denmark http://www.math.uio.no/fredb/)

  • Fred Espen Benth

    (Department of Mathematics, University of Oslo, P.O. Box 1053, Blindern, N-0316 Oslo, Norway and MaPhySto - Centre for Mathematical Physics and Stochastics, University of Aarhus, Ny Munkegade, DK-8000 Å rhus, Denmark http://www.math.uio.no/fredb/)

  • Kenneth Hvistendahl Karlsen

    (Department of Mathematics, University of Bergen, Johs. Brunsgt. 12, N-5008 Bergen, Norway http://www.mi.uib.no/~kennethk/ Manuscript)

Abstract

We consider an optimal portfolio-consumption problem which incorporates the notions of durability and intertemporal substitution. The logreturns of the uncertain assets are not necessarily normally distributed. The natural models then involve Lévy processes as driving noise instead of the more frequently used Brownian motion. The optimization problem is a singular stochastic control problem and the associated Hamilton-Jacobi-Bellman equation is a nonlinear second order degenerate elliptic integro-differential equation subject to gradient and state constraints. For utility functions of HARA type, we calculate the optimal investment and consumption policies together with an explicit expression for the value function when the Lévy process has only negative jumps. For the classical Merton problem, which is a special case of our optimization problem, we provide explicit policies for general Lévy processes having both positive and negative jumps. Instead of following the classical approach of using a verification theorem, we validate our solution candidates within a viscosity solution framework. To this end, the value function of our singular control problem is characterized as the unique constrained viscosity solution of the Hamilton-Jacobi-Bellman equation in the case of general utilities and general Lévy processes.

Suggested Citation

  • Kristin Reikvam & Fred Espen Benth & Kenneth Hvistendahl Karlsen, 2001. "Optimal portfolio management rules in a non-Gaussian market with durability and intertemporal substitution," Finance and Stochastics, Springer, vol. 5(4), pages 447-467.
  • Handle: RePEc:spr:finsto:v:5:y:2001:i:4:p:447-467
    Note: received: April 2000; final version received: July 2000
    as

    Download full text from publisher

    File URL: http://link.springer.de/link/service/journals/00780/papers/1005004/10050447.pdf
    Download Restriction: Access to the full text of the articles in this series is restricted
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Peter Bank & Helena Kauppila, 2014. "Convex duality for stochastic singular control problems," Papers 1407.7717, arXiv.org.
    2. Baccarin Stefano, 2024. "CRRA Utility Maximization Over a Finite Horizon in an Exponential Levy Model with Finite Activity," Working papers 092, Department of Economics, Social Studies, Applied Mathematics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino.
    3. Le Courtois, Olivier & Menoncin, Francesco, 2015. "Portfolio optimisation with jumps: Illustration with a pension accumulation scheme," Journal of Banking & Finance, Elsevier, vol. 60(C), pages 127-137.
    4. Li, Hanwu & Riedel, Frank & Yang, Shuzhen, 2024. "Optimal consumption for recursive preferences with local substitution — the case of certainty," Journal of Mathematical Economics, Elsevier, vol. 110(C).
    5. Goncalo dos Reis & Vadim Platonov, 2020. "Forward utility and market adjustments in relative investment-consumption games of many players," Papers 2012.01235, arXiv.org, revised Mar 2022.
    6. Motoh, Tsujimura, 2004. "Optimal natural resources management under uncertainty with catastrophic risk," Energy Economics, Elsevier, vol. 26(3), pages 487-499, May.
    7. Dimitri Vallière & Yuri Kabanov & Emmanuel Lépinette, 2016. "Consumption-investment problem with transaction costs for Lévy-driven price processes," Finance and Stochastics, Springer, vol. 20(3), pages 705-740, July.
    8. Guambe, Calisto & Kufakunesu, Rodwell, 2015. "A note on optimal investment–consumption–insurance in a Lévy market," Insurance: Mathematics and Economics, Elsevier, vol. 65(C), pages 30-36.
    9. Laura Pasin & Tiziano Vargiolu, 2010. "Optimal Portfolio for CRRA Utility Functions when Risky Assets are Exponential Additive Processes," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 39(1‐2), pages 65-90, February.
    10. Seydel, Roland C., 2009. "Existence and uniqueness of viscosity solutions for QVI associated with impulse control of jump-diffusions," Stochastic Processes and their Applications, Elsevier, vol. 119(10), pages 3719-3748, October.
    11. Ferrari, Giorgio & Li, Hanwu & Riedel, Frank, 2020. "Optimal Consumption with Intertemporal Substitution under Knightian Uncertainty," Center for Mathematical Economics Working Papers 641, Center for Mathematical Economics, Bielefeld University.

    More about this item

    Keywords

    Portfolio choice; intertemporal substitution; singular stochastic control; dynamic programming method; integro-differential variational inequality; viscosity solution; closed form solution;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:finsto:v:5:y:2001:i:4:p:447-467. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.