방법 비교
선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.
| DCC-GARCH (동적 조건부 상관관계)× | 단순 및 이중 지수 평활법 (SES / Holt)× | |
|---|---|---|
| 분야≠ | 재무학 | 계량경제학 |
| 계열 | Regression model | Regression model |
| 기원 연도≠ | 2002 | 1957 |
| 창시자≠ | Robert F. Engle | Robert G. Brown (SES); Charles C. Holt (linear trend) |
| 유형≠ | Multivariate volatility model | Exponential smoothing forecasting model |
| 원전≠ | Engle, R. (2002). Dynamic Conditional Correlation: A Simple Class of Multivariate GARCH Models. Journal of Business & Economic Statistics, 20(3), 339-350. DOI ↗ | Brown, R. G. (1959). Statistical Forecasting for Inventory Control. McGraw-Hill. link ↗ |
| 별칭 | dynamic conditional correlation, Engle DCC, multivariate GARCH, DCC-GARCH — Dinamik Koşullu Korelasyon | SES, Holt's linear trend method, exponential smoothing forecasting, Basit ve Çift Üstel Düzleştirme (SES / Holt) |
| 관련≠ | 5 | 3 |
| 요약≠ | 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. | Exponential smoothing is a family of basic time-series forecasting models in which each new observation updates a smoothed estimate by a weighting parameter. Simple exponential smoothing (SES), introduced by Robert G. Brown in 1959, forecasts series with a stable level, while Holt's double exponential smoothing, introduced by Charles C. Holt in 1957, adds a trend term using the parameters alpha and beta. |
| ScholarGate데이터셋 ↗ |
|
|