Revista de Matemática: Teoría y Aplicaciones ISSN Impreso: 1409-2433 ISSN electrónico: 2215-3373

OAI: https://revistas.ucr.ac.cr/index.php/matematica/oai
Fitting non-gaussian Models to Financial data: An Empirical Study
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Keywords

Dynamic Volatility
Stable Processes
Diffusions with Jumps
Likelihood
Volatilidad Dinámica
Procesos Estables
Difusiones con Saltos
Verosimilitud

How to Cite

Olivares, P., & Álvarez, A. (2004). Fitting non-gaussian Models to Financial data: An Empirical Study. Revista De Matemática: Teoría Y Aplicaciones, 11(1), 81–93. https://doi.org/10.15517/rmta.v11i1.239

Abstract

In this paper are presented some experiences about the modeling of financial data by three classes of models as alternative to Gaussian Linear models. Dynamic Volatility, Stable Lévy and Diffusion with Jumps models are considered. The techniques are illustrated with some examples of financial series on currency, futures and indexes.

https://doi.org/10.15517/rmta.v11i1.239
PDF (Español (España))

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