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Information Journal Paper

Title

Estimation of Value-at-Risk with Time Varying skewness and kurtosis

Pages

  617-638

Abstract

 This paper studies the effect of considering time varying skewness and kurtosis on the estimation of value at risk (VaR) for both long and short positions using the HYAPARCH model and daily data for Tehran Stock Exchange Price Index (TEPIX). Our results show that applying conditional distributions with time varying or constant skewness and degrees of freedom captures the asymmetry appropriately compared to the normal distribution. However, the VaR estimations of these models are conservative, moreover, they are appropriate for risk averse investors.

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  • Cite

    APA: Copy

    SAJJAD, RASOUL, & GORJI, MAHSA. (2015). Estimation of Value-at-Risk with Time Varying skewness and kurtosis. TAHGHIGHAT-E-EGHTESADI, 50(3 ), 617-638. SID. https://sid.ir/paper/11777/en

    Vancouver: Copy

    SAJJAD RASOUL, GORJI MAHSA. Estimation of Value-at-Risk with Time Varying skewness and kurtosis. TAHGHIGHAT-E-EGHTESADI[Internet]. 2015;50(3 ):617-638. Available from: https://sid.ir/paper/11777/en

    IEEE: Copy

    RASOUL SAJJAD, and MAHSA GORJI, “Estimation of Value-at-Risk with Time Varying skewness and kurtosis,” TAHGHIGHAT-E-EGHTESADI, vol. 50, no. 3 , pp. 617–638, 2015, [Online]. Available: https://sid.ir/paper/11777/en

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