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volatility/diffusion term is stochastic in the sense of being driven by a separate hidden Markov process. Within this framework … conditions for the existence of a finite dimensional Markovian realizations for the stochastic volatility models. We illustrate … the theory by analyzing a number of concrete examples. -- HJM models ; stochastic volatility ; factor models ; forward …
Persistent link: https://www.econbiz.de/10001664233
In this paper we derive tests for parameter constancy when the data generating process is non-stationary against the hypothesis that the parameters of the model change smoothly over time. To obtain the asymptotic distributions of the tests we generalize many theoretical results, as well as new...
Persistent link: https://www.econbiz.de/10002570513
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
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
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Properties of three well-known and frequently applied first-order models for modelling and forecasting volatility in … Conditional Heteroskedasticity (GARCH), the Exponential GARCH and the Autoregressive Stochastic Volatility model. The focus is on … heteroskedasticity ; evaluation of volatility models ; exponential GARCH ; GARCH ; modelling return series ; stochastic volatility …
Persistent link: https://www.econbiz.de/10002199620
; Dynamic conditional correlation ; Return comovement ; Volatility model evaluation …
Persistent link: https://www.econbiz.de/10002570445