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Moving Average (MA) Model×Vektorautoregression (VAR)×
FagområdeØkonometriØkonometri
FamilieRegression modelRegression model
Oprindelsesår19701980
OphavspersonBox and JenkinsChristopher A. Sims
TypeLinear time series modelMultivariate time-series model
Oprindelig kildeBox, G. E. P., Jenkins, G. M., & Reinsel, G. C. (1976). Time Series Analysis: Forecasting and Control (revised ed.). Holden-Day. ISBN: 978-0130607744Sims, C. A. (1980). Macroeconomics and Reality. Econometrica, 48(1), 1–48. DOI ↗
AliasserMA model, MA(q) process, moving-average process, Box-Jenkins MAVAR, VAR model, vector autoregressive model, multivariate autoregression
Relaterede55
ResuméThe Moving Average model of order q — written MA(q) — expresses the current value of a time series as a linear combination of the current and past random shocks (innovations). Unlike the AR model which uses lagged values of the series itself, the MA model uses lagged error terms, making it well-suited for capturing short-lived disturbances that dissipate over q periods.Vector Autoregression is a multivariate time-series model in which each variable is regressed on its own lags and the lags of all other variables in the system. Originally proposed by Sims (1980) as a data-driven alternative to large structural macroeconomic models, VAR has become the standard workhorse for dynamic analysis in empirical economics and finance.
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ScholarGateSammenlign metoder: Moving Average Model · Vector Autoregression. Hentet 2026-06-15 fra https://scholargate.app/da/compare