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ARCH-LM-testen for volatilitetsklustering×Markov-regimeskiftmodell (MS-AR / MS-VAR)×
FagfeltØkonometriØkonometri
FamilieRegression modelRegression model
Opprinnelsesår19821989
OpphavspersonRobert F. EngleHamilton (1989); Kim & Nelson (1999)
TypeLagrange multiplier diagnostic test for conditional heteroscedasticityRegime-switching time series model
Opprinnelig kildeEngle, R. F. (1982). Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation. Econometrica, 50(4), 987-1007. DOI ↗Hamilton, J. D. (1989). A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle. Econometrica, 57(2), 357-384. DOI ↗
AliasARCH-LM Testi ve Volatilite Kümelenmesi Analizi, ARCH LM test, Engle's ARCH test, test for autoregressive conditional heteroscedasticityregime-switching model, Markov-switching autoregression, MS-AR, MS-VAR
Relaterte65
SammendragThe ARCH-LM test is Robert Engle's (1982) Lagrange multiplier diagnostic for autoregressive conditional heteroscedasticity in the residuals of a fitted time-series model. It checks whether the error variance changes over time and clusters into calm and turbulent periods, and it is the standard pre-test run before fitting a GARCH-family volatility model.The 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.
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ScholarGateSammenlign metoder: ARCH-LM Test · Markov-Switching Model. Hentet 2026-06-20 fra https://scholargate.app/no/compare