info:eu-repo/semantics/article
Fitting non-gaussian Models to Financial data: An Empirical Study
Fitting non-gaussian Models to Financial data: An Empirical Study
Registro en:
10.15517/rmta.v11i1.239
Autor
Olivares, Pablo
Álvarez, Alexánder
Institución
Resumen
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. En el trabajo se presentan algunas experiencias en la modelación de datos financieros usando tres clases de modelos alternativos a los modelos Gaussianos lineales. Se consoderan modelos con volatilidad dinámica, estables de Lévy y difusiones con Saltos. Las técnicas son ilustradas con ejemplos de series financieras de tasas de cambio, futuros e índices