विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| वास्तविक अस्थिरता और HAR मॉडल× | जोहान्सन सह-एकीकरण परीक्षण और सदिश त्रुटि सुधार मॉडल× | |
|---|---|---|
| क्षेत्र | वित्त | वित्त |
| परिवार | Regression model | Regression model |
| उद्भव वर्ष≠ | 2009 | 1991 |
| प्रवर्तक≠ | Corsi (HAR model); Andersen, Bollerslev, Diebold & Labys (realized volatility) | Søren Johansen |
| प्रकार≠ | Time-series regression of realized variance | Multivariate cointegration / vector error correction model |
| मौलिक स्रोत≠ | Corsi, F. (2009). A Simple Approximate Long-Memory Model of Realized Volatility. Journal of Financial Econometrics, 7(2), 174-196. DOI ↗ | Johansen, S. (1991). Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models. Econometrica, 59(6), 1551-1580. DOI ↗ |
| उपनाम | realized variance, HAR model, heterogeneous autoregressive model of realized volatility, HAR-RV | Johansen test, VECM, vector error correction model, multivariate cointegration |
| संबंधित≠ | 5 | 3 |
| सारांश≠ | Realized volatility estimates an asset's variance directly from high-frequency intraday returns rather than from a parametric latent process. The Heterogeneous Autoregressive (HAR) model of Corsi (2009), building on the realized-volatility framework of Andersen, Bollerslev, Diebold and Labys (2003), forecasts this measure by combining daily, weekly, and monthly volatility components, and is a strong alternative to GARCH for volatility prediction. | The Johansen procedure is a multivariate cointegration framework, introduced by Søren Johansen in 1991, that tests for long-run equilibrium relationships among several I(1) time series. It determines how many cointegrating vectors link the series and then builds a Vector Error Correction Model (VECM) to describe the short-run dynamics around that equilibrium. |
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