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ARMA model (Autoregresivni pokretni prosek)×Vektorska autoregresija (VAR)×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka19701980
TvoracGeorge E. P. Box and Gwilym M. JenkinsChristopher A. Sims
TipTime series modelMultivariate time-series model
Temeljni izvorBox, G. E. P., & Jenkins, G. M. (1970). Time Series Analysis: Forecasting and Control. Holden-Day. link ↗Sims, C. A. (1980). Macroeconomics and Reality. Econometrica, 48(1), 1–48. DOI ↗
Drugi naziviARMA, Box-Jenkins model, autoregressive moving average, AR(p)MA(q)VAR, VAR model, vector autoregressive model, multivariate autoregression
Srodne55
SažetakThe ARMA(p,q) model describes a stationary time series as a combination of two components: an autoregressive part that regresses the current value on its own past p values, and a moving average part that accounts for past q error terms. It is the foundational framework of the Box-Jenkins methodology for univariate time series modelling and short-run forecasting.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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ScholarGateUporedite metode: ARMA model · Vector Autoregression. Preuzeto 2026-06-15 sa https://scholargate.app/sr/compare