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    题名: 考慮極值與VaR限制之最適資產配置
    其它题名: Optimal Asset Allocation with Extreme Returns and a VaR Constraint
    作者: 顏錫銘;李美杏
    Yen,Simon H.;Lee,Mei-Hsing
    贡献者: 財管系
    关键词: 極值;左偏;肥尾
    Gram-Charlier expansion;value-at-risk-based risk management;leptokurtic asset returns
    日期: 2006
    上传时间: 2008-11-05 16:56:13 (UTC+8)
    摘要: 許多實證研究顯示資產報酬分配呈左偏和肥尾。本文探討當資產報酬分配呈左偏和肥尾時，對風險管理者資產配置之影響。Basak與Shapiro(2001)是首位將風險限制式(VaR)納入效用函數內，再極大化投資人之效用函數而求出最適資產配置。本文依據他們的方法，採用Gram-Charlier expansion描述資產報酬左偏和肥尾之特性，探討當資產報酬分配在非常態分配下，其資產配置的變化。對風險管理者而言，最重要的工作就是準確預測損失與發生損失的機率。瞭解資產報酬的型態將有助於準確的預測損失，我們無法降低損失，但可以降低發生損失的機率，本文建議可以降低α值（期末財富損失大於VaR之機率）來達成，而降低α值會使期末財富在好的狀態與壞的狀態的財富稍減。
    This study investigates how deviations from normality affect asset choices made by risk managers. This study applies the Gram-Charlier expansion for negatively skewed and excess kurtosis. Following Basak and Shapiro (2001), this study examines how negatively skewed and excess kurtosis affects asset allocations when investors manage market-risk exposure using Value-at-Risk-based risk management (VaR-RM). It is important for risk managers to precisely forecast the loss. The analytical results imply that the impact of leptokurtic asset returns is based on the shape of asset returns, and a correct measurement of leptokurtic asset returns is helpful to risk managers seeking to precisely forecast the loss. A risk manager cannot reduce the loss in bad states, but can reduce the value of α, the probability that a loss exceeds VaR, and the agent will suffer from reduced terminal wealth in both the good and bad states.
    關聯: 臺大管理論叢,17(2),41-68
    数据类型: article
    显示于类别:[財務管理學系] 期刊論文

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