E-Prints Complutense

Asymmetry and Long Memory in Volatility Modelling



Último año

Asai, Manabu y McAleer, Michael y Medeiros, Marcelo C. (2011) Asymmetry and Long Memory in Volatility Modelling. [ Documentos de trabajo del Instituto Complutense de Análisis Económico; nº 29, 2011, ] (No publicado)

Vista previa
Creative Commons License
Esta obra está bajo una licencia de Creative Commons: Reconocimiento - No comercial.


URL Oficial: http://eprints.ucm.es/13215/

URLTipo de URL


A wide variety of conditional and stochastic variance models has been used to estimate latent volatility (or risk). In this paper, we propose a new long memory asymmetric volatility model which captures more flexible asymmetric patterns as compared with several existing models. We extend the new specification to realized volatility by taking account of measurement errors, and use the Efficient Importance Sampling technique to estimate the model. As an empirical example, we apply the new model to the realized volatility of S&P500 to show that the new specification of asymmetry significantly improves the goodness of fit, and that the out-of-sample forecasts and Value-at-Risk (VaR) thresholds are satisfactory. Overall, the results of the out-of-sample forecasts show the adequacy of the new asymmetric and long memory volatility model for the period including the global financial crisis.

Tipo de documento:Documento de trabajo o Informe técnico
Información Adicional:

The authors are most grateful to a Co-Editor, Associate Editor and two referees for very helpful comments and suggestions, and Marcel Scharth for efficient research assistance.

Palabras clave:Asymmetric volatility, Long memory, Realized volatility, Measurement errors, Efficient importance sampling.
Materias:Ciencias Sociales > Economía > Econometría
Título de serie o colección:Documentos de trabajo del Instituto Complutense de Análisis Económico
Código ID:13215
Depositado:06 Sep 2011 08:05
Última Modificación:06 Feb 2014 09:43

Descargas en el último año

Sólo personal del repositorio: página de control del artículo