AbstractThe asymptotic properties of the memory structure of ARCH(∞) equations are investigated. This asymptotic analysis is achieved by expressing the autocovariance function of ARCH(∞) equations as the solution of a linear Volterra summation equation and analysing the properties of an associated resolvent equation via the admissibility theory of linear Volterra operators. It is shown that the autocovariance function decays subexponentially (or geometrically) if and only if the kernel of the resolvent equation has the same decay property. It is also shown that upper subexponential bounds on the autocovariance function result if and only if similar bounds apply to the kernel
We consider a volatility model, named ARCH-NNH model, that is specifically an ARCH process with a no...
Abstract. The EGARCH model of Nelson [29] is one of the most successful ARCH models which may exhibi...
ARCH(∞) models nest a wide range of ARCH and GARCH models including models with long memory in volat...
AbstractThe asymptotic properties of the memory structure of ARCH(∞) equations are investigated. Thi...
This thesis examines the long--run behaviour of both differential and difference, deterministic and ...
AbstractIn this paper we consider a linear stochastic Volterra equation which has a stationary solut...
AbstractWe define a class of functions which have a known decay rate coupled with a periodic fluctua...
We consider ARCH processes with persistent covariates and provide asymptotic theories that explain h...
We consider ARCH processes with persistent covariates and provide asymptotic theories that explain h...
We consider ARCH processes with persistent covariates and provide asymptotic theories that explain h...
This dissertation focuses on quadratic ARCH models with long memory. The class of ARCH models was in...
We consider the long memory and leverage properties of a model for the conditional variance of an ob...
We discuss some of the issues pertaining to modelling and estimating long memory in volatility. The ...
An infinite-order asymptotic expansion is given for the autocovariance function of a general stationa...
This note develops a stochastic model of asset volatility. The volatility obeys a continuous-time au...
We consider a volatility model, named ARCH-NNH model, that is specifically an ARCH process with a no...
Abstract. The EGARCH model of Nelson [29] is one of the most successful ARCH models which may exhibi...
ARCH(∞) models nest a wide range of ARCH and GARCH models including models with long memory in volat...
AbstractThe asymptotic properties of the memory structure of ARCH(∞) equations are investigated. Thi...
This thesis examines the long--run behaviour of both differential and difference, deterministic and ...
AbstractIn this paper we consider a linear stochastic Volterra equation which has a stationary solut...
AbstractWe define a class of functions which have a known decay rate coupled with a periodic fluctua...
We consider ARCH processes with persistent covariates and provide asymptotic theories that explain h...
We consider ARCH processes with persistent covariates and provide asymptotic theories that explain h...
We consider ARCH processes with persistent covariates and provide asymptotic theories that explain h...
This dissertation focuses on quadratic ARCH models with long memory. The class of ARCH models was in...
We consider the long memory and leverage properties of a model for the conditional variance of an ob...
We discuss some of the issues pertaining to modelling and estimating long memory in volatility. The ...
An infinite-order asymptotic expansion is given for the autocovariance function of a general stationa...
This note develops a stochastic model of asset volatility. The volatility obeys a continuous-time au...
We consider a volatility model, named ARCH-NNH model, that is specifically an ARCH process with a no...
Abstract. The EGARCH model of Nelson [29] is one of the most successful ARCH models which may exhibi...
ARCH(∞) models nest a wide range of ARCH and GARCH models including models with long memory in volat...