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Closing the GARCH gap: Continuous time GARCH modeling [PDF]
Journal of Econometrics, 1996 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Werker, B.J.M., Drost, F.C.
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Hybrid Model for Stock Market Volatility
Journal of Probability and Statistics, 2023 Empirical evidence suggests that the traditional GARCH-type models are unable to accurately estimate the volatility of financial markets. To improve on the accuracy of the traditional GARCH-type models, a hybrid model (BSGARCH (1, 1)) that combines the ...
Kofi Agyarko +2 more
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Risks, 2023 Cryptocurrencies have increasingly attracted the attention of several players interested in crypto assets. Their rapid growth and dynamic nature require robust methods for modeling their volatility.
Rhenan G. S. Queiroz, Sergio A. David
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GARCH models without positivity constraints: Exponential or log GARCH? [PDF]
Journal of Econometrics, 2013 This paper provides a probabilistic and statistical comparison of the log-GARCH and EGARCH models, which both rely on multiplicative volatility dynamics without positivity constraints. We compare the main probabilistic properties (strict stationarity, existence of moments, tails) of the EGARCH model, which are already known, with those of an asymmetric
Francq, Christian +2 more
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Novel grey wolf optimizer based parameters selection for GARCH and ARIMA models for stock price prediction [PDF]
PeerJ Computer ScienceStock price data often exhibit nonlinear patterns and dynamics in nature. The parameter selection in generalized autoregressive conditional heteroskedasticity (GARCH) and autoregressive integrated moving average (ARIMA) models is challenging due to stock
Sneha S. Bagalkot +2 more
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A Continuous Time GARCH Process Driven by a Lévy Process: Stationarity and Second Order Behaviour [PDF]
, 2005 We use a discrete time analysis, giving necessary and sufficient conditions for the almost sure convergence of ARCH(1) and GARCH(1,1) discrete time models, tosuggest an extension of the (G)ARCH concept to continuous time processes.
Klüppelberg, Claudia +2 more
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Multivariate GARCH Models: A Survey [PDF]
SSRN Electronic Journal, 2003 AbstractThis paper surveys the most important developments in multivariate ARCH‐type modelling. It reviews the model specifications and inference methods, and identifies likely directions of future research. Copyright © 2006 John Wiley & Sons, Ltd.
BAUWENS, Luc +2 more
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Energies, 2020 We compare the forecasting performance of the generalized autoregressive conditional heteroscedasticity (GARCH) -type models with support vector regression (SVR) for futures contracts of selected energy commodities: Crude oil, natural gas, heating oil ...
Marcin Fałdziński +2 more
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TESTING GARCH-X TYPE MODELS [PDF]
Econometric Theory, 2017 We present novel theory for testing for reduction of GARCH-X type models with an exogenous (X) covariate to standard GARCH type models. To deal with the problems of potential nuisance parameters on the boundary of the parameter space as well as lack of identification under the null, we exploit a noticeable property of specific zero-entries in the ...
Pedersen, Rasmus Søndergaard +1 more
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Stochastic Volatility Modeling of Daily Streamflow Time Series
Water Resources Research, 2023 Under the changing climate, the natural characteristics of hydrological processes are assumed to have been intensified, and the volatility of these processes to have increased significantly.
Huimin Wang +4 more
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