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Asymptotic theory of noncentered mixing stochastic differential equations

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  • Kim, Jeong-Hoon

Abstract

The corrected diffusion effects caused by a noncentered stochastic system are studied in this paper. A diffusion limit theorem or CLT of the system is derived with the convergence error estimate. The estimate is obtained for large t (on the interval (0,t*), t* of the order of [var epsilon]-1). The underlying stochastic processes of rapidly varying stochastic inputs are assumed to satisfy a strong mixing condition. The Kolmogorov-Fokker-Planck equation is derived for the transition probability density of the solution process. The result is an extension of the author's previous work [J. Math. Phys. 37 (1996) 752] in that the present system is a noncentered stochastic system on the asymptotically unbounded interval. Furthermore, the solutions of the Kolmogorov-Fokker-Planck equation are represented by an explicit approximate form based upon the pseudodifferential operator theory and Wiener's path integral representation.

Suggested Citation

  • Kim, Jeong-Hoon, 2004. "Asymptotic theory of noncentered mixing stochastic differential equations," Stochastic Processes and their Applications, Elsevier, vol. 114(1), pages 161-174, November.
    • Handle: RePEc:eee:spapps:v:114:y:2004:i:1:p:161-174
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    Cited by:

    1. Kim, Jeong-Hoon & Lee, Min-Ku & Sohn, So Young, 2014. "Investment timing under hybrid stochastic and local volatility," Chaos, Solitons & Fractals, Elsevier, vol. 67(C), pages 58-72.
    2. Lee, Min-Ku & Kim, Jeong-Hoon & Kim, Joocheol, 2011. "A delay financial model with stochastic volatility; martingale method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(16), pages 2909-2919.

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