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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 …
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; Dynamic conditional correlation ; Return comovement ; Volatility model evaluation …
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This paper studies a class of Markov models which consist of two components. Typically, one of the components is observable and the other is unobservable or 'hidden'. Conditions under which (a form of) geometric ergodicity of the unobservable component is inherited by the joint process formed of...
Persistent link: https://www.econbiz.de/10002465203
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
; multivariate volatility model ; random coefficient model ; volatility forecasting …
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