A new weak approximation scheme of stochastic differential equations and the Runge-Kutta method
@article{Ninomiya2007ANW, title={A new weak approximation scheme of stochastic differential equations and the Runge-Kutta method}, author={M. Ninomiya and S. Ninomiya}, journal={arXiv: Probability}, year={2007} }
In this paper, authors successfully construct a new algorithm for the new higher order scheme of weak approximation of SDEs. The algorithm presented here is based on [1][2]. Although this algorithm shares some features with the algorithm presented by [3], algorithms themselves are completely different and the diversity is not trivial. They apply this new algorithm to the problem of pricing Asian options under the Heston stochastic volatility model and obtain encouraging results.
[1] Shigeo… Expand
One Citation
References
SHOWING 1-10 OF 45 REFERENCES
General order conditions for stochastic Runge-Kutta methods for both commuting and non-commuting stochastic ordinary differential equation systems
- Mathematics
- 1998
- 58
Expansion of the global error for numerical schemes solving stochastic differential equations
- Mathematics
- 1990
- 533
- PDF
Cubature on Wiener space in infinite dimension
- Mathematics
- Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
- 2008
- 20
- PDF
The Law of the Euler Scheme for Stochastic Differential Equations: II. Convergence Rate of the Density
- Mathematics, Computer Science
- Monte Carlo Methods Appl.
- 1996
- 188
- PDF