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Model DCC-GARCH (Dynamic Conditional Correlation)

Model DCC-GARCH, diperkenalkan oleh Engle (2002), melanjutkan GARCH univariat untuk menangkap korelasi yang berubah mengikut masa antara beberapa siri masa kewangan. Ia menguraikan matriks kovariansan bersyarat multivariat kepada proses-proses volatiliti individu dan matriks korelasi dinamik, membolehkan korelasi berfluktuasi dari semasa ke semasa sambil kekal boleh dikira walaupun dengan banyak siri.

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Sumber

  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

Cara memetik halaman ini

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

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ScholarGateDCC-GARCH model (Dynamic Conditional Correlation Generalized Autoregressive Conditional Heteroscedasticity Model). Dicapai 2026-06-15 daripada https://scholargate.app/ms/econometrics/dcc-garch-model · Set data: https://doi.org/10.5281/zenodo.20539026