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Linganisha mbinu

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Mfumo wa Mabadiliko ya Mazinatio ya Markov (MS-AR / MS-VAR)×Umuundo wa Kujirudia kwa Kujitegemea wenye Masharti ya Ugomvi (GARCH)×
NyanjaEkonometrikiEkonometriki
FamiliaRegression modelRegression model
Mwaka wa asili19891986
MwanzilishiHamilton (1989); Kim & Nelson (1999)Tim Bollerslev
AinaRegime-switching time series modelConditional volatility model
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 ↗Bollerslev, T. (1986). Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics, 31(3), 307-327. DOI ↗
Majina mbadalaregime-switching model, Markov-switching autoregression, MS-AR, MS-VARGARCH(1,1), generalized ARCH, conditional volatility model, GARCH Modeli
Zinazohusiana55
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.GARCH is an econometric model for the time-varying volatility of financial time series, introduced by Tim Bollerslev in 1986 as a generalisation of Engle's ARCH model. It treats the conditional variance as a function of past squared shocks and past variances, capturing the volatility clustering seen in returns.
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ScholarGateLinganisha mbinu: Markov-Switching Model · GARCH. Imepatikana 2026-06-18 kutoka https://scholargate.app/sw/compare