Several models have been developed to capture the dynamics of the con- ditional correlations between time series of financial returns, but few studies have investigated the determinants of the correlation dynamics. A common opinion is that the market volatility is a major determinant of the correlations.We extend some models to capture explicitly the dependence of the correlations on the volatility of the market of interest. The models differ in the way by which the volatility influences the correlations, which can be transmitted through linear or nonlinear, and direct or indirect effects. They are applied to different data sets to verify the presence and possible regularity of the volatility impact on correlations.
Volatility Dependent Conditional Correlation Models / Bauwens, L.; Otranto, Edoardo. - (2013), pp. 1-6. (Intervento presentato al convegno SIS 2013 Statistical Conference: Advances in Latent Variables - Methods, Models and Applications tenutosi a Brescia).
Volatility Dependent Conditional Correlation Models
OTRANTO, Edoardo
2013
Abstract
Several models have been developed to capture the dynamics of the con- ditional correlations between time series of financial returns, but few studies have investigated the determinants of the correlation dynamics. A common opinion is that the market volatility is a major determinant of the correlations.We extend some models to capture explicitly the dependence of the correlations on the volatility of the market of interest. The models differ in the way by which the volatility influences the correlations, which can be transmitted through linear or nonlinear, and direct or indirect effects. They are applied to different data sets to verify the presence and possible regularity of the volatility impact on correlations.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
