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Information Journal Paper

Title

ASSET ALLOCATION USING THE SEPARABLE PROBABILISTIC METHOD

Pages

  11-20

Keywords

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Abstract

 Asset allocation optimization under nonsymmetrically distributed and dependent returns is required for real world applications. So far, Monte Carlo based scenario optimization methods have been most successful for such problems, but may be computationally expensive. Many methods that do not use simulated data exist when the random returns are normally distributed. A new computationally efficient method has been proposed namely, the separable probabilistic robust method that is not scenario based and directly maximizes the overall return for a given probability of non-exceedance (risk), namely the value-at-risk (VaR). A byproduct of this method is the conditional value-at-risk (CVaR). In addition, a new asset allocation method that uses Monte Carlo simulations is also proposed, which retains the original size of the problem, unlike many current scenario based methods. Copula is used to model joint distributions of dependent and nonsymmetrical returns. The two new methods are tested with real world stock prices and the results are comparable to the best solutions available, in terms of the objective function value, namely, the VaR.

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    APA: Copy

    HANAFIZADEH, PAYAM, SEYFI, ABAS, & PONNAMBALAM, K.. (2006). ASSET ALLOCATION USING THE SEPARABLE PROBABILISTIC METHOD. INDUSTRIAL ENGINEERING & MANAGEMENT SHARIF (SHARIF: ENGINEERING), NEW SERIES (22)(34 (ISSUE FOCUS: MANAGEMENT AND INDUSTRIAL ENGINEERING)), 11-20. SID. https://sid.ir/paper/107710/en

    Vancouver: Copy

    HANAFIZADEH PAYAM, SEYFI ABAS, PONNAMBALAM K.. ASSET ALLOCATION USING THE SEPARABLE PROBABILISTIC METHOD. INDUSTRIAL ENGINEERING & MANAGEMENT SHARIF (SHARIF: ENGINEERING)[Internet]. 2006;NEW SERIES (22)(34 (ISSUE FOCUS: MANAGEMENT AND INDUSTRIAL ENGINEERING)):11-20. Available from: https://sid.ir/paper/107710/en

    IEEE: Copy

    PAYAM HANAFIZADEH, ABAS SEYFI, and K. PONNAMBALAM, “ASSET ALLOCATION USING THE SEPARABLE PROBABILISTIC METHOD,” INDUSTRIAL ENGINEERING & MANAGEMENT SHARIF (SHARIF: ENGINEERING), vol. NEW SERIES (22), no. 34 (ISSUE FOCUS: MANAGEMENT AND INDUSTRIAL ENGINEERING), pp. 11–20, 2006, [Online]. Available: https://sid.ir/paper/107710/en

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