COMPUTATIONAL APPLICATION OF THE STOCHASTIC DIFFERENTIAL EQUATIONS
Numeric methods are effective tools to solve science or engineering problems , which use deterministic differential equations. We have Euler’s and Heun’s methods and Runge- Kutta’s schemes. Unfortunately, these algorithms don’t work with stochastic differential equations. The main application is ref...
| Authors: | , |
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| Format: | article |
| Status: | Published version |
| Publication Date: | 2006 |
| Country: | Perú |
| Institution: | Universidad Nacional Mayor de San Marcos |
| Repository: | Revistas - Universidad Nacional Mayor de San Marcos |
| Language: | Spanish |
| OAI Identifier: | oai:revistasinvestigacion.unmsm.edu.pe:article/5756 |
| Online Access: | https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/5756 |
| Access Level: | Open access |
| Keyword: | Stochastic calculus stochastic differential equations stochastic processes. Cálculo estocástico ecuaciones diferenciales estocásticas procesos estocásticos. |
| Summary: | Numeric methods are effective tools to solve science or engineering problems , which use deterministic differential equations. We have Euler’s and Heun’s methods and Runge- Kutta’s schemes. Unfortunately, these algorithms don’t work with stochastic differential equations. The main application is referred to the utilization of stochastic calculus in the financial area. The Black-Scholes and Merton model of the price values option in the financial markets is expressed by the Brownian movement and the stochastic differential equation, proposing the financial derivatives valorization by means of the stochastic calculus. |
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