Presentation 2005-09-16
Estimation of Tail Distribution of Stochastic Models including Jump Diffusion Processes by using the Importance Sampling and its Applications
Kangrong TAN, Yoshinori KISHIKAWA, Shozo TOKINAGA,
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Abstract(in English) This report deals with the estimation of tail distribution of stochastic models including jump diffusion processes by using the Importance Sampling and its applications. In the Monte Carlo simulation which is one of the effective methods to estimate tail distribution, we apply the Importance Sampling to to utilize rare events to improve the result. Even more, we introduce certain jump diffusion processes to model to cope with abrupt changes. The estimation method is applied to the VaR evaluation of financial investment.
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Keyword(in English) Tail distribution estimation / Importance Sampling / Jump diffusion process / VaR evaluation
Paper # CAS2005-47,NLP2005-60
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Committee NLP
Conference Date 2005/9/9(1days)
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Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Estimation of Tail Distribution of Stochastic Models including Jump Diffusion Processes by using the Importance Sampling and its Applications
Sub Title (in English)
Keyword(1) Tail distribution estimation
Keyword(2) Importance Sampling
Keyword(3) Jump diffusion process
Keyword(4) VaR evaluation
1st Author's Name Kangrong TAN
1st Author's Affiliation Faculty of Economics, Kurume University()
2nd Author's Name Yoshinori KISHIKAWA
2nd Author's Affiliation Faculty of System Science and Technology, Akita Prefectural University
3rd Author's Name Shozo TOKINAGA
3rd Author's Affiliation Graduate School of Economics, Kyushu University
Date 2005-09-16
Paper # CAS2005-47,NLP2005-60
Volume (vol) vol.105
Number (no) 277
Page pp.pp.-
#Pages 5
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