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題名:價格跳躍下的風險值估計--以S&P 500現貨、美國30年公債期貨與布蘭特原油期貨為例
書刊名:中原企管評論
作者:林允永邱建良 引用關係洪瑞成 引用關係
作者(外文):Lin, Yun-yungChiu, Chien-liangHung, Jui-cheng
出版日期:2005
卷期:3:2
頁次:頁99-130
主題關鍵詞: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 modelValue-at-riskBrent oil futuresS&P 500 index30-year US treasury bond futures
原始連結:連回原系統網址new window
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  • 被引用次數被引用次數:期刊(0) 博士論文(0) 專書(0) 專書論文(0)
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  • 共同引用共同引用:19
  • 點閱點閱:28
本篇文章採用Maheu and McCurdy(2004)所提出GARJI模型和GARCH模型估算不蘭特原油期貨、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,並將此報酬不尋常表現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。
This study employs GARJI (Maheu and McCurdy, 2004) and GARCH models to calculate value-at-Risk (VaR) of Brent oil futures, S&P500 index, and 30-year US Treasury Bond futures. GARJI model not only captures occasional large changes in price which is induced by the impact of unexpected news arrivals, but also has better forecasting ability of out-of-sample volatilities. Therefore, we adopt GARJI model to take these advantages and modify percentile by conditional skewness coefficient to the computation of VaR. The empirical results indicate that GARJI model has better risk management performance than GARCH model as viewpoints of failure rate and RMSE, and it also performs better than GARCH model in Stress-Testing.
期刊論文
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研究報告
1.Eraker, B.、Johannes, M. S.、Polson, N. G.(1999)。Return Dynamics in Continuous-Time with Jumps to Volatility and Returns。University of Chicago, Graduate School of Business。  new window
2.Das, S. R.(1998)。Poisson-Gaussian Processes and the Bond Market。National Bureau of Economic Research。  new window
圖書
1.Bachelier, L.(1900)。Theory of Speculation。Paris, France:Gauthier-Villars。  new window
2.Jorion, Philippe(2000)。Value at Risk: The New Benchmark for Managing Financial Risk。Irvine:University of California。  new window
其他
1.Ball, C. A. and W. N. Torous(1985)。On Jumps in Common Stock Prices and Their Impact on Call Pricing。  new window
2.Chahal, M. S and J. Wang(1998)。Jump Diffusion Processes and Emerging Bond Stock Markets; An Investigation Using Daily Data。  new window
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4.Das, S. R.(2002)。The Surprise Element: Jumps in Interest Rates。  new window
5.Duffie, D. and J. Pan(2001)。Analytical Value-at-Risk with Jumps and Credit Risk。  new window
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8.Huang, Y. C. and B. J. Lin(2004)。Value-at-Risk Analysis for Taiwan Stock Index Futures: Fat Tails and Conditional Asymmetries。  new window
9.Kim, J. and C. Finger(2000)。A Stress Test of to Incorporate Correlation Breakdown。  new window
10.Liesenfeld, R. and R. C. Jung(2000)。Stochastic Volatility Models: Conditional Normality versus Heavy-Tailed Distributions。  new window
11.Mandelbrot, B.(1967)。The Variation of Some Other Speculative Prices。  new window
12.Venkatesh, P. C.(2003)。Value at Risk for Corporate Bond Portfolios。  new window
 
 
 
 
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