Regression modelEconometrics / time series

DCC-GARCH model (dinamička uslovna korelacija)

DCC-GARCH model, koji je uveo Engle (2002), proširuje univarijatni GARCH kako bi se uhvatile vremenski promenljive korelacije između više finansijskih vremenskih serija. On dekomponuje viševarijatnu uslovnu kovarijansnu matricu na individualne procese volatilnosti i matricu dinamičkih korelacija, omogućavajući da korelacije fluktuiraju tokom vremena, a da pritom ostanu računski podesne čak i sa mnogo serija.

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Izvori

  1. Engle, R. F. (2002). Dynamic conditional correlation: A simple class of multivariate generalized autoregressive conditional heteroskedasticity models. Journal of Business and Economic Statistics, 20(3), 339-350. DOI: 10.1198/073500102288618487
  2. Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987-1007. DOI: 10.2307/1912773

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Dynamic Conditional Correlation Generalized Autoregressive Conditional Heteroscedasticity Model. ScholarGate. https://scholargate.app/sr/econometrics/dcc-garch-model

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ScholarGateDCC-GARCH model (Dynamic Conditional Correlation Generalized Autoregressive Conditional Heteroscedasticity Model). Preuzeto 2026-06-15 sa https://scholargate.app/sr/econometrics/dcc-garch-model · Skup podataka: https://doi.org/10.5281/zenodo.20539026