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Optimal Sharing Rule for a Household with a Portfolio Management Problem

Author

Listed:
  • Oumar Mbodji

    (Departement of Mathematics and Statistics [Hamilton, McMaster University] - McMaster University [Hamilton, Ontario])

  • Adrien Nguyen Huu

    (CEE-M - Centre d'Economie de l'Environnement - Montpellier - FRE2010 - INRA - Institut National de la Recherche Agronomique - UM - Université de Montpellier - CNRS - Centre National de la Recherche Scientifique - Montpellier SupAgro - Institut national d’études supérieures agronomiques de Montpellier)

  • Traian A. A Pirvu

    (Departement of Mathematics and Statistics [Hamilton, McMaster University] - McMaster University [Hamilton, Ontario])

Abstract

We study an intra-household decision process in the Merton financial portfolio problem.This writes as an optimal consumption-investment problem in finite horizon for the case of two separate consumption streams and a shared final wealth, in a linear social welfare setting. We show that the aggregate problem for multiple agents can be linearly separated in multiple optimal single agent problems given an optimal sharing rule of the initial endowment. Consequently, an explicit closed form solution is obtained for each subproblem, and for the household as a whole. We show the impact of asymmetric risk aversion and market price of risk on the sharing rule in a specified setting with mean-reverting price of risk, with numerical illustration.

Suggested Citation

  • Oumar Mbodji & Adrien Nguyen Huu & Traian A. A Pirvu, 2019. "Optimal Sharing Rule for a Household with a Portfolio Management Problem," CEE-M Working Papers hal-00940233, CEE-M, Universtiy of Montpellier, CNRS, INRA, Montpellier SupAgro.
  • Handle: RePEc:hal:wpceem:hal-00940233
    Note: View the original document on HAL open archive server: https://hal.science/hal-00940233v4
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    References listed on IDEAS

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    Cited by:

    1. Raphaël Soubeyran, 2019. "Incentives, pro-social preferences and discrimination," Working Papers hal-02056347, HAL.

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    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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