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Model prepínania Markovových režimov (MS-AR / MS-VAR)×Exponential GARCH (EGARCH)×
OdborEkonometriaEkonometria
RodinaRegression modelRegression model
Rok vzniku19891991
TvorcaHamilton (1989); Kim & Nelson (1999)Nelson
TypRegime-switching time series modelConditional volatility model (asymmetric GARCH variant)
Pôvodný zdrojHamilton, J. D. (1989). A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle. Econometrica, 57(2), 357-384. DOI ↗Nelson, D. B. (1991). Conditional Heteroskedasticity in Asset Returns: A New Approach. Econometrica, 59(2), 347-370. DOI ↗
Ďalšie názvyregime-switching model, Markov-switching autoregression, MS-AR, MS-VARexponential GARCH, Nelson's EGARCH, asymmetric GARCH, EGARCH — Üstel GARCH
Príbuzné54
ZhrnutieThe Markov regime-switching model lets the parameters of a time series change probabilistically across hidden regimes governed by a Markov chain. Introduced by Hamilton (1989) and developed further by Kim and Nelson (1999), it automatically detects business-cycle phases such as expansions and contractions.EGARCH is an asymmetric GARCH variant, introduced by Nelson in 1991, that models the leverage effect in which bad news raises volatility more than good news of the same size. It captures the negative-shock asymmetry of financial return series by modelling the logarithm of the conditional variance.
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ScholarGatePorovnať metódy: Markov-Switching Model · EGARCH. Získané 2026-06-18 z https://scholargate.app/sk/compare