方法对比
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| 面板GARCH模型× | 自回归条件异方差 (ARCH) 模型× | |
|---|---|---|
| 领域 | 计量经济学 | 计量经济学 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 1986 (GARCH); panel extension 1990s–2000s | 1982 |
| 提出者≠ | Bollerslev (1986); extended to panel settings in subsequent literature | Robert F. Engle |
| 类型≠ | Volatility model | Conditional volatility model |
| 开创性文献≠ | Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307–327. DOI ↗ | Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007. DOI ↗ |
| 别名 | panel GARCH, GARCH panel model, panel volatility model, panel conditional heteroscedasticity model | ARCH, autoregressive conditional heteroskedasticity, Engle ARCH, conditional variance model |
| 相关 | 6 | 6 |
| 摘要≠ | The Panel GARCH model extends Bollerslev's (1986) Generalized Autoregressive Conditional Heteroscedasticity framework to panel data, allowing conditional variance to evolve over time for each cross-sectional unit. It simultaneously captures unit-level heterogeneity and time-varying volatility clustering, making it the standard tool for modelling risk and uncertainty in multi-entity financial and macroeconomic panels. | The ARCH model, introduced by Robert Engle in 1982, captures time-varying volatility in financial and macroeconomic time series. It models the conditional variance of today's error as a function of past squared errors, explaining why volatile periods cluster together — a phenomenon known as volatility clustering. |
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