教師資料查詢 | 類別: 期刊論文 | 教師: 王仁和 Wang, Ren-he (瀏覽個人網頁)

標題:Efficient Simulation of Value-at-Risk Under a Jump Diffusion Model: A New Method for Moderate Deviation Events
學年106
學期2
出版(發表)日期2018/03/13
作品名稱Efficient Simulation of Value-at-Risk Under a Jump Diffusion Model: A New Method for Moderate Deviation Events
作品名稱(其他語言)
著者Cheng-Der Fuh; Huei-Wen Teng; Ren-Her Wang
單位
出版者
著錄名稱、卷期、頁數Computational Economics 51(4), p.973-990
摘要Importance sampling is a powerful variance reduction technique for rare event simulation, and can be applied to evaluate a portfolio’s Value-at-Risk (VaR). By adding a jump term in the geometric Brownian motion, the jump diffusion model can be used to describe abnormal changes in asset prices when there is a serious event in the market. In this paper, we propose an importance sampling algorithm to compute the portfolio’s VaR under a multi-variate jump diffusion model. To be more precise, an efficient computational procedure is developed for estimating the portfolio loss probability for those assets with jump risks. And the tilting measure can be separated for the diffusion and the jump part under the assumption of independence. The simulation results show that the efficiency of importance sampling improves over the naive Monte Carlo simulation from 9 to 277 times under various situations.
關鍵字Importance sampling;Exponential tilting;Moderate deviation;Jump diffusion;VaR
語言英文(美國)
ISSN1572-9974
期刊性質國外
收錄於SCI;SSCI;
產學合作
通訊作者Ren-Her Wang
審稿制度
國別美國
公開徵稿
出版型式,電子版,紙本
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