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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/31619

    Title: 條件偏態於資產定價上之應用-臺灣證券市場之實證研究
    Other Titles: Conditional skewness in asset pricing- empirical study from Taiwan security market
    Authors: 吳家華;Wu, Chia-hua
    Contributors: 淡江大學財務金融學系碩士班
    黃文光;Wong, Woon-kong
    Keywords: 共偏態;偏態;隨機折現因子;因子模型;多變量聯合檢定;Coskewness;Skewness;Stochastic Discount Factor;Factor model, Multivariate;Statistical Test
    Date: 2007
    Issue Date: 2010-01-11 01:03:37 (UTC+8)
    Abstract: 如果報酬分配有系統性的偏斜(systematic skewness),則預期報酬理當包含此偏斜風險所帶來的報償。
    本論文主要目的為將系統共偏態(coskewness)加入多因子模型中,以驗證系統共偏態對資本資產定價是否有幫助。本研究以台灣證券市場上市公司的超額報酬為被解釋變數,擴充Fama and French(1993)和顧廣平(2005)所建構的因子模型,形成含有共偏態的多因子模式,並透過R2與GRS聯合檢定以檢驗共偏態效果於資產報酬定價方面是否有顯著的助益。
    If asset returns have systematic skewness, expected returns should include rewards for accepting this risk.
    The goal of this paper is to examine the linkage between the empirical evidence on these additional factors and systematic coskewness. Our study is to take the excess return of Taiwan Security Market as the dependent variable, and form some factor models by extending the factor models of Fama and French(1993) and the factor model of Kuang-Ping Ku(2005). We also test the co-skewness is helpful to capital asset pricing model by means of R2 and joint test of GRS.
    The empirical results indicate that conditional skewness has significantly effect on each factor model, and help to increase the explanation of the common time-series variation in returns. We also find that the co-skewness is helpful to the cross-sectional variation of expected returns.
    Appears in Collections:[財務金融學系暨研究所] 學位論文

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