COMPUTATIONAL APPLICATION OF THE STOCHASTIC DIFFERENTIAL EQUATIONS

Authors

  • Eduardo Raffo Lecca Universidad Nacional Mayor de San Marcos. Lima, Peru
  • Miguel Mejía Puente Pontificia Universidad Católica del Perú

DOI:

https://doi.org/10.15381/idata.v9i1.5756

Keywords:

Stochastic calculus, stochastic differential equations, stochastic processes.

Abstract

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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Author Biographies

  • Eduardo Raffo Lecca, Universidad Nacional Mayor de San Marcos. Lima, Peru

    Ingeniero Industrial. Profesor del Departamento de Ingeniería de Sistemas e Informática, UNMSM.

  • Miguel Mejía Puente, Pontificia Universidad Católica del Perú

    Ingeniero Industrial. Profesor del Departamento de Ingeniería Industrial, PUCP.

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Published

2006-07-31

Issue

Section

Sistemas e Informática

How to Cite

COMPUTATIONAL APPLICATION OF THE STOCHASTIC DIFFERENTIAL EQUATIONS. (2006). Industrial Data, 9(1), 064-075. https://doi.org/10.15381/idata.v9i1.5756