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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/95278


    Title: 價格跳躍下的風險值的計算
    Other Titles: Value at Risk under Price Jump Risk
    Authors: 林允永;洪瑞成;邱建良;林柏青
    Contributors: 淡江大學財務金融學系
    Keywords: GARJI模型;風險值;布蘭特原油期貨;S&P500指數現貨;美國30年期公債期貨;GARJI model;Value at risk;Brent oil futures;S&P500 index;30-yearUS Treasury Bond futures
    Date: 2004-05
    Issue Date: 2014-02-12 00:02:42 (UTC+8)
    Abstract: 本篇文章採用Maheu and McCurdy (2003)所提出GARJI模型和GARCH模型估算布蘭 特原油期貨、S&P500指數現貨與美國30年期公債期貨之風險值。由於GARJI模型 可反應市場對於非預期的新訊息所造成的衝擊且具有較好的樣本外波動預測能力 ,因此本文利用GARJI模型捕捉此不連續的狀態,並將此不連續的情形納入計算 風險值的過程中,同時將偏態係數納入百分位數的修正。由實證結果可知,在通 過回溯測試的前提下,GARJI的穿透率和RMSE均較GARCH模型低,因此其風險管理 的績效較GARCH模型優異,而在壓力測試上也有佳的表現。
    In this paper, we employ the GARJI model, proposed by Maheu and McCurdy (2003), and GARCH model to estimate the Value-at-Risk (VaR) of Brent oil futures、S&P500 index and 30-year US Treasury Bond futures. The GARJI model captures not only occasional large changes in price, which due to the impact of unexpected news arrivals, but also has better forecasting ability of out-of-sample volatilities. We adopt the GARJI model to grasp this effect and adjust the percentile of skewness coefficient. At last, we bring it into the computation of VaR. From the empirical results, we find that the GARJI model, as viewpoints of failure rate and RMSE, has better risk management performance than GARCH model and it also performs better than GARCH model in Stress-Testing.
    Relation: 2004財經政策與財務工程研討會論文集=Proceedings of Conference on Financial and Economic Policies and Financial Engineering,36頁
    Appears in Collections:[財務金融學系暨研究所] 會議論文

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