방법 비교
선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.
| 패널 EGARCH× | Panel GARCH 모형× | |
|---|---|---|
| 분야 | 계량경제학 | 계량경제학 |
| 계열 | Regression model | Regression model |
| 기원 연도≠ | 1991 (EGARCH); panel extensions widely used from 2000s | 1986 (GARCH); panel extension 1990s–2000s |
| 창시자≠ | Daniel B. Nelson (EGARCH); panel extension by applied econometrics literature | Bollerslev (1986); extended to panel settings in subsequent literature |
| 유형 | Volatility model | Volatility model |
| 원전≠ | Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370. DOI ↗ | Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307–327. DOI ↗ |
| 별칭 | Panel EGARCH model, panel exponential GARCH, EGARCH for panel data, cross-sectional EGARCH | panel GARCH, GARCH panel model, panel volatility model, panel conditional heteroscedasticity model |
| 관련≠ | 4 | 6 |
| 요약≠ | Panel EGARCH extends Nelson's (1991) Exponential GARCH model to a panel setting, allowing conditional variance to evolve asymmetrically over time for each cross-sectional unit. The log specification ensures non-negative variance without parameter constraints, and the leverage term distinguishes whether negative shocks amplify volatility more than positive ones of equal magnitude. | 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. |
| ScholarGate데이터셋 ↗ |
|
|