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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/111089

    Title: 關聯結構分析在外匯投資組合風險值估計上之實證分析
    Other Titles: The empirical analysis on exchange rates portfolio Value-at-Risk estimation incorporating Copula methods
    Authors: 劉正揚;Liu, Zheng-Yang
    Contributors: 淡江大學統計學系碩士班
    林志娟;Lin, Jyh-Jiuan
    Keywords: 指數加權移動平均;關聯結構模型;極值理論;回溯測試;Exponentially Weighted Moving Average;Copula;Extreme Value Theorem;Backtesting
    Date: 2016
    Issue Date: 2017-08-24 23:43:42 (UTC+8)
    Abstract: 風險值已成為金融機制中不可或缺的一部份,本研究以常被使用的歷史模擬法、變異數-共變異數法和極值理論估計風險值,其中在變異數-共變異數法中分別以樣本共變異數矩陣、指數加權移動平均和關聯結構模型法三種方式進行估計;極值理論則是對於金融資產厚尾的特性加強討論。在關聯結構模型中採用對稱關聯結構中的常態關聯結構和T關聯結構模型來描述,得到投資組合資產間相關性的結構,據此進一步估計風險值。
    本研究模型評估,以巴賽爾協定所制定的回溯測試及 Kupiec(1995)和Christoffersen(1998)提出的方法衡量風險值模型的合適性;另外使用誤差平方根和絕對平均百分誤差比來比較不同風險值模型下的資金運用效率性。
    Value-at-Risk(VaR) has become a vital issue of financial regulations. While a large numbers of VaR methods are proposed, we use historically simulation, variance-covariance method, and extreme value theorem in this study. Three different estimation methods are adopted in the variance-covariance method. They are sample covariance matrix, exponentially weighted moving average and copula method, respectively. Extreme value theorem is used to consider the fat-tailed behaviors in financial data. Copula function is used to describe the correlation structure among assets, and used to estimate the VaR.
    Backtesing and Christoffersen(1998) tests are adapted to validate the accuracy of the seven estimation approaches. Besides, there are two criteria used to assess the capital efficiency of seven methods, which are root mean square error and mean absolute percentage error.
    In empirical analysis with fixed horizon and confidence level to calculate the VaR, five different exchange rate portfolios are studied. Conclusively, exponentially weighted moving average method outperforms the aforementioned seven approaches in terms of the capital efficiency.
    Appears in Collections:[統計學系暨研究所] 學位論文

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