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Linganisha mbinu

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Mfumo wa Mabadiliko ya Mazinatio ya Markov (MS-AR / MS-VAR)×Exponential GARCH (EGARCH)×
NyanjaEkonometrikiEkonometriki
FamiliaRegression modelRegression model
Mwaka wa asili19891991
MwanzilishiHamilton (1989); Kim & Nelson (1999)Nelson
AinaRegime-switching time series modelConditional volatility model (asymmetric GARCH variant)
Chanzo asiliaHamilton, 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 ↗
Majina mbadalaregime-switching model, Markov-switching autoregression, MS-AR, MS-VARexponential GARCH, Nelson's EGARCH, asymmetric GARCH, EGARCH — Üstel GARCH
Zinazohusiana54
MuhtasariThe 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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  1. v1
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  3. PUBLISHED

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ScholarGateLinganisha mbinu: Markov-Switching Model · EGARCH. Imepatikana 2026-06-18 kutoka https://scholargate.app/sw/compare