A partial sampling method applied to the Kusuoka approximation

Verfasser / Beitragende:
[Syoiti Ninomiya]
Ort, Verlag, Jahr:
2003
Enthalten in:
Monte Carlo Methods and Applications, 9/1(2003-01-01), 27-38
Format:
Artikel (online)
ID: 378869043
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100 1 |a Ninomiya  |D Syoiti  |u Center for Research in Advanced Financial Technology, Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro-ku, Tokyo 152-8552 JAPAN. 
245 1 2 |a A partial sampling method applied to the Kusuoka approximation  |h [Elektronische Daten]  |c [Syoiti Ninomiya] 
520 3 |a The Kusuoka approximation is a new simulation scheme for diffusion processes which are solutions of SDE with smooth coefficients. The author had reported that the Kusuoka approximation realizes several thousands times faster calculation of some financial derivative pricing problems than the Euler-Maruyama approximation does. In this paper, the author applied TBBA to the Kusuoka approximation and succeeded in several hundreds times faster calculation than naive Monte Carlo sampling. 
540 |a Copyright 2003, Walter de Gruyter 
690 7 |a Stochastic Differential Equation  |2 nationallicence 
690 7 |a Simulation  |2 nationallicence 
690 7 |a Diffusion Process  |2 nationallicence 
690 7 |a Monte Carlo  |2 nationallicence 
690 7 |a Quasi-Monte Carlo  |2 nationallicence 
690 7 |a Numerical Integration  |2 nationallicence 
690 7 |a Finance  |2 nationallicence 
773 0 |t Monte Carlo Methods and Applications  |d Walter de Gruyter  |g 9/1(2003-01-01), 27-38  |x 0929-9629  |q 9:1<27  |1 2003  |2 9  |o mcma 
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