方法证据记录
DCC-GARCH model
The DCC-GARCH model, introduced by Engle (2002), extends univariate GARCH to capture time-varying correlations between multiple financial time series. It decomposes the multivariate conditional covariance matrix into individual volatility processes and a dynamic correlation matrix, allowing correlations to fluctuate over time while remaining computationally tractable even with many series.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Dynamic Conditional Correlation Generalized Autoregressive Conditional Heteroscedasticity Model
分类方法记录 · regression-model / econometrics
- 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
- 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
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