We consider the relationships between ARCH-type and Stochastic Volatility models. A new class of volatility models, called Generalized Bilinear Stochastic Volatility, is described following an approach that transforms an initial GARCH-M process. The focus here is on the interpretation of some simulation results, with a special care devoted to model misspecification. Key Words: ARCH-type and Stochastic Volatility models; Bilinear Processes; Generalized Bilinear Stochastic Volatility; Misspecification Currently a Postdoc Visiting Scholar at Stanford University, PDP Research Lab. 1 Introduction The strong impulse that motivated the field of financial time series volatility models 1 , after the seminal work on Autoregressive Conditional H...
Abstract: We address the IGARCH puzzle by which we understand the fact that a GARCH(1,1) model fitte...
Abstract: Volatility is a key parameter used inmany financial applications, from deriva-tives valuat...
In this work, we discuss the class of bilinear GARCH (BL-GARCH) models that are capable of capturing...
AbstractA rapid development of time series models and methods addressing volatility in computational...
In this paper we study the behavior of GARCH(1,1) parameter estimates when data is generated by cert...
AbstractRapid developments of time series models and methods addressing volatility in computational ...
Generalized Auto-regressive Conditional Heteroskedastic (GARCH) models with fixed parameters are typ...
In the 20 years following the publication of the ARCH model, there has been a vast quantity of resea...
ARCH/GARCH modelling has been successfully applied in empirical finance for many years. This paper s...
Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 20...
Many economic and financial time series have been found to exhibit dynamics in variance; that is, th...
International audienceIn this article, a misspecification test in conditional volatility and GARCH-t...
Abstract: This article highlights a comprehensive and approachable perspective to stochastic volatil...
The paper considers a volatility model that includes a persistent, integrated or nearly integrated, ...
I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, includ...
Abstract: We address the IGARCH puzzle by which we understand the fact that a GARCH(1,1) model fitte...
Abstract: Volatility is a key parameter used inmany financial applications, from deriva-tives valuat...
In this work, we discuss the class of bilinear GARCH (BL-GARCH) models that are capable of capturing...
AbstractA rapid development of time series models and methods addressing volatility in computational...
In this paper we study the behavior of GARCH(1,1) parameter estimates when data is generated by cert...
AbstractRapid developments of time series models and methods addressing volatility in computational ...
Generalized Auto-regressive Conditional Heteroskedastic (GARCH) models with fixed parameters are typ...
In the 20 years following the publication of the ARCH model, there has been a vast quantity of resea...
ARCH/GARCH modelling has been successfully applied in empirical finance for many years. This paper s...
Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 20...
Many economic and financial time series have been found to exhibit dynamics in variance; that is, th...
International audienceIn this article, a misspecification test in conditional volatility and GARCH-t...
Abstract: This article highlights a comprehensive and approachable perspective to stochastic volatil...
The paper considers a volatility model that includes a persistent, integrated or nearly integrated, ...
I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, includ...
Abstract: We address the IGARCH puzzle by which we understand the fact that a GARCH(1,1) model fitte...
Abstract: Volatility is a key parameter used inmany financial applications, from deriva-tives valuat...
In this work, we discuss the class of bilinear GARCH (BL-GARCH) models that are capable of capturing...