مقایسهٔ روشها
روشهای انتخابی خود را کنار هم مرور کنید؛ ردیفهای متفاوت برجسته شدهاند.
| مدل خودرگرسیون شرطی تعمیمیافته ناهمسانی (GARCH)× | دیسیسی-گارچ (همبستگی شرطی پویا)× | |
|---|---|---|
| حوزه≠ | اقتصادسنجی | مالی |
| خانواده | Regression model | Regression model |
| سال پیدایش≠ | 1986 | 2002 |
| پدیدآور≠ | Tim Bollerslev | Robert F. Engle |
| نوع≠ | Conditional volatility model | Multivariate volatility model |
| منبع بنیادین≠ | Bollerslev, T. (1986). Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics, 31(3), 307-327. DOI ↗ | Engle, R. (2002). Dynamic Conditional Correlation: A Simple Class of Multivariate GARCH Models. Journal of Business & Economic Statistics, 20(3), 339-350. DOI ↗ |
| نامهای دیگر | GARCH(1,1), generalized ARCH, conditional volatility model, GARCH Modeli | dynamic conditional correlation, Engle DCC, multivariate GARCH, DCC-GARCH — Dinamik Koşullu Korelasyon |
| مرتبط | 5 | 5 |
| خلاصه≠ | GARCH is an econometric model for the time-varying volatility of financial time series, introduced by Tim Bollerslev in 1986 as a generalisation of Engle's ARCH model. It treats the conditional variance as a function of past squared shocks and past variances, capturing the volatility clustering seen in returns. | DCC-GARCH is Engle's (2002) multivariate volatility model that lets the correlations between several assets change over time. A separate univariate GARCH model is fitted to each series, and then the dynamic correlation matrix is estimated in a second, separate step. |
| ScholarGateمجموعهداده ↗ |
|
|