We discuss univariate and multivariate statistical properties of volatility time series of equities traded in a financial market. Specifically, (i) we introduce a two-region stochastic volatility model able to well describe the unconditional pdf of volatility in a wide range of values and (ii) we quantify the stability of the results of a correlation-based clustering procedure applied to synchronous time evolution of a set of volatility time series
This paper develops a multivariate long-memory stochastic volatility model which allows the multi-as...
We investigate the historical volatility of the 100 most capitalized stocks traded in US equity mark...
A new multivariate stochastic volatility model is developed in this paper. The main feature of this ...
We discuss univariate and multivariate statistical properties of volatility time series of equities ...
Volatility plays an important role in controlling and forecasting risks in various �nancial operatio...
In this paper we discuss univariate and multivariate statistical properties of volatility with the a...
This thesis develops a new volatility model, Multivariate Long Memory Stochastic Volatility (MLMSV) ...
The persistent nature of equity volatility is investigated by means of a multi-factor stochastic vol...
This thesis studies time series properties of the covariance structure of multivariate asset returns...
We introduce in this paper a multivariate threshold stochastic volatility model for multiple financi...
Volatility has been one of the most active and successful areas of research in time series econometr...
This paper compares the forecasting performances of both univariate and multivariate models for real...
A complete guide to the theory and practice of volatility models in financial engineering Volatility...
Financial data by nature are inter-related and should be analyzed using multivariate methods. Many m...
This article presents theoretical and empirical methodology for estimation and modeling of multivari...
This paper develops a multivariate long-memory stochastic volatility model which allows the multi-as...
We investigate the historical volatility of the 100 most capitalized stocks traded in US equity mark...
A new multivariate stochastic volatility model is developed in this paper. The main feature of this ...
We discuss univariate and multivariate statistical properties of volatility time series of equities ...
Volatility plays an important role in controlling and forecasting risks in various �nancial operatio...
In this paper we discuss univariate and multivariate statistical properties of volatility with the a...
This thesis develops a new volatility model, Multivariate Long Memory Stochastic Volatility (MLMSV) ...
The persistent nature of equity volatility is investigated by means of a multi-factor stochastic vol...
This thesis studies time series properties of the covariance structure of multivariate asset returns...
We introduce in this paper a multivariate threshold stochastic volatility model for multiple financi...
Volatility has been one of the most active and successful areas of research in time series econometr...
This paper compares the forecasting performances of both univariate and multivariate models for real...
A complete guide to the theory and practice of volatility models in financial engineering Volatility...
Financial data by nature are inter-related and should be analyzed using multivariate methods. Many m...
This article presents theoretical and empirical methodology for estimation and modeling of multivari...
This paper develops a multivariate long-memory stochastic volatility model which allows the multi-as...
We investigate the historical volatility of the 100 most capitalized stocks traded in US equity mark...
A new multivariate stochastic volatility model is developed in this paper. The main feature of this ...