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Finite dimensional Markovian realizations for stochastic volatility forward rate models

Björk, Tomas (contributor); Landén, Camilla (contributor); … - 2002 - [Elektronische Ressource], This version: May 6, 2002

the theory by analyzing a number of concrete examples. -- HJM models ; stochastic volatility ; factor models ; forward … volatility/diffusion term is stochastic in the sense of being driven by a separate hidden Markov process. Within this framework … we use the previously developed Hilbert space realization theory in order provide general necessary and sufficent …

Persistent link: https://www.econbiz.de/10001664233

An application of the analogy between vector ARCH and vector random coefficient autoregressive models

He, Changli (contributor); Teräsvirta, Timo (contributor) - 2002 - [Elektronische Ressource]

; multivariate volatility model ; random coefficient model ; volatility forecasting …

Persistent link: https://www.econbiz.de/10001714621

A smooth permanent surge process

González, Andrés (contributor) - 2004 - [Elektronische Ressource]

In this paper we introduce the Smooth Permanent Surge [SPS] model. The model is an integrated non lineal moving average process with possibly unit roots in the moving average coefficients. The process nests the Stochastic Permanent Break [STOPBREAK] process by Engle and Smith (1999) and in a...

Persistent link: https://www.econbiz.de/10002465176

Finite dimensional realizations of forward price term structure models

Gaspar, Raquel M. (contributor) - 2004 - [Elektronische Ressource]

use the Lie algebra methodology of Björk et al. to investigate under what conditions on the volatility structure of the …

Persistent link: https://www.econbiz.de/10002450616

Essays on Random Effects models and GARCH

Skoglund, Jimmy - 2001

Persistent link: https://www.econbiz.de/10001565684

Asymptotic properties of the maximum likelihood estimator of random effects models with serial correlation

Skoglund, Jimmy (contributor); Karlsson, Sune (contributor) - 2001 - [Elektronische Ressource]

This paper considers the large sample behavior of the maximum likelihood estimator of random effects models with serial correlation in the form of AR(1) for the idiosyncratic or time-specific error component. Consistent estimation and asymptotic normality as N and/or T grows large is established...

Persistent link: https://www.econbiz.de/10001600056