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Dynamic Asset Allocation for Stocks, Bonds, and Cash

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Author Info

  • Isabelle Bajeux-Besnainou

    (George Washington University)

  • James V. Jordan

    (National Economic Research Associates)

  • Roland Portait

    (CNAM and ESSEC)

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    Abstract

    Closed-form solutions for HARA optimal portfolios are obtained in a dynamic portfolio optimization model in three assets (stocks, bonds, and cash) in a Vasicek-type model of stochastic interest rates with correlated stock prices. The HARA is a buy-and-hold combination of a zero-coupon bond with maturity matching the investor's horizon and a "CRRA mutual fund." This simple characterization facilitates insights about investor behavior over time and provides explanations on the rational use of convex versus concave investment strategies. The model illuminates clearly the role of the different market parameters and relative risk aversion in portfolio strategies.

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    Bibliographic Info

    Article provided by University of Chicago Press in its journal Journal of Business.

    Volume (Year): 76 (2003)
    Issue (Month): 2 (April)
    Pages: 263-288

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    Handle: RePEc:ucp:jnlbus:v:76:y:2003:i:2:p:263-288

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    Web page: http://www.journals.uchicago.edu/JB/

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    Cited by:
    1. Guan, Guohui & Liang, Zongxia, 2014. "Optimal reinsurance and investment strategies for insurer under interest rate and inflation risks," Insurance: Mathematics and Economics, Elsevier, vol. 55(C), pages 105-115.
    2. Eduardo Walker, 2008. "Assessing Alternative Institutional Designs For Investment Regulation In Defined Contribution Pension Funds," Abante, Escuela de Administracion. Pontificia Universidad Católica de Chile., vol. 11(2), pages 121-152.
    3. André De Palma & Nathalie Picard & Jean-Luc Prigent, 2009. "Prise en compte de l'attitude face au risque dans le cadre de la directive MiFID," Working Papers hal-00418892, HAL.
    4. Eduardo Walker, 2006. "Optimal Portfolios In Defined Contribution Pension Systems," Abante, Escuela de Administracion. Pontificia Universidad Católica de Chile., vol. 9(2), pages 99-129.
    5. Farid Mkouar & Jean-Luc Prigent, 2014. "Long-Term Investment with Stochastic Interest and Inflation Rates Incompleteness and Compensating Variation," Working Papers 2014-301, Department of Research, Ipag Business School.
    6. Bruder, Benjamin & Roncalli, Thierry, 2012. "Managing risk exposures using the risk budgeting approach," MPRA Paper 37246, University Library of Munich, Germany.
    7. Zhen Shi & Bas J.M. Werker, 2011. "Economic Costs and Benefits of Imposing Short-Horizon Value-at-Risk Type Regulation," Tinbergen Institute Discussion Papers 11-053/2/DSF17, Tinbergen Institute.
    8. Hoevenaars, Roy P.M.M. & Molenaar, Roderick D.J. & Schotman, Peter C. & Steenkamp, Tom B.M., 2008. "Strategic asset allocation with liabilities: Beyond stocks and bonds," Journal of Economic Dynamics and Control, Elsevier, vol. 32(9), pages 2939-2970, September.
    9. Lin, Wen-chang & Lu, Jin-ray, 2012. "Risky asset allocation and consumption rule in the presence of background risk and insurance markets," Insurance: Mathematics and Economics, Elsevier, vol. 50(1), pages 150-158.
    10. Oussama Chakroun & Georges Dionne & Amélie Dugas-Sampara, 2006. "Empirical Evaluation of Investor Rationality in the Asset Allocation Puzzle," Cahiers de recherche 0635, CIRPEE.
    11. Shi, Zhen & Werker, Bas J.M., 2012. "Short-horizon regulation for long-term investors," Journal of Banking & Finance, Elsevier, vol. 36(12), pages 3227-3238.
    12. Lioui, Abraham, 2007. "The asset allocation puzzle is still a puzzle," Journal of Economic Dynamics and Control, Elsevier, vol. 31(4), pages 1185-1216, April.

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