Presentation 2008-03-14
Estimation of Jump Diffusion Processes of Time Series based on Functional Approximations by the Genetic Methods and its Applications
Kangrong TAN, Shozo TOKINAGA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) This report deals with the estimation of jump diffusion processes of time series based on functional approximations by the Genetic methods and its applications. We assume an additive model for generating time series composed of deterministic part, jump diffusion and the Brownian motion. We apply the Genetic Programming and the Genetic Algorithm to the estimation of deterministic and jump diffusion parts, respectively. The method is used to evaluate prediction of time series and the optimal investment decision.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Jump diffusion / Genetic methods / Approximation of functions / Time series
Paper # SIS2007-84
Date of Issue

Conference Information
Committee SIS
Conference Date 2008/3/7(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Smart Info-Media Systems (SIS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Estimation of Jump Diffusion Processes of Time Series based on Functional Approximations by the Genetic Methods and its Applications
Sub Title (in English)
Keyword(1) Jump diffusion
Keyword(2) Genetic methods
Keyword(3) Approximation of functions
Keyword(4) Time series
1st Author's Name Kangrong TAN
1st Author's Affiliation Faculty of Economics, Kurume University()
2nd Author's Name Shozo TOKINAGA
2nd Author's Affiliation Graduate School of Economics, Kyushu University
Date 2008-03-14
Paper # SIS2007-84
Volume (vol) vol.107
Number (no) 548
Page pp.pp.-
#Pages 6
Date of Issue