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Model Peralihan Rejim Markov (MS-AR / MS-VAR)×Exponential GARCH (EGARCH)×
BidangEkonometrikEkonometrik
KeluargaRegression modelRegression model
Tahun asal19891991
PengasasHamilton (1989); Kim & Nelson (1999)Nelson
JenisRegime-switching time series modelConditional volatility model (asymmetric GARCH variant)
Sumber perintisHamilton, 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 ↗
Aliasregime-switching model, Markov-switching autoregression, MS-AR, MS-VARexponential GARCH, Nelson's EGARCH, asymmetric GARCH, EGARCH — Üstel GARCH
Berkaitan54
RingkasanThe 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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ScholarGateBandingkan kaedah: Markov-Switching Model · EGARCH. Dicapai 2026-06-17 daripada https://scholargate.app/ms/compare