Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Теория экстремальных значений (Extreme Value Theory, EVT)× | Условный риск (Expected Shortfall)× | Экспоненциальный GARCH (EGARCH)× | |
|---|---|---|---|
| Область≠ | Финансы | Финансы | Эконометрика |
| Семейство | Regression model | Regression model | Regression model |
| Год появления≠ | 2001 | 2000 | 1991 |
| Автор метода≠ | Coles (textbook treatment); McNeil, Frey & Embrechts | Rockafellar & Uryasev (2000); Acerbi & Tasche (2002) | Nelson |
| Тип≠ | Tail / extreme-event model | Coherent tail-risk measure | Conditional volatility model (asymmetric GARCH variant) |
| Основополагающий источник≠ | Coles, S. (2001). An Introduction to Statistical Modeling of Extreme Values. Springer. ISBN: 978-1852334598 | Rockafellar, R. T. & Uryasev, S. (2000). Optimization of Conditional Value-at-Risk. Journal of Risk, 2(3), 21-41. DOI ↗ | Nelson, D. B. (1991). Conditional Heteroskedasticity in Asset Returns: A New Approach. Econometrica, 59(2), 347-370. DOI ↗ |
| Другие названия≠ | EVT, generalized extreme value, generalized Pareto distribution, peaks over threshold | CVaR, expected shortfall, average value-at-risk, tail VaR | exponential GARCH, Nelson's EGARCH, asymmetric GARCH, EGARCH — Üstel GARCH |
| Связанные≠ | 5 | 5 | 4 |
| Сводка≠ | Extreme Value Theory is a statistical framework for modelling the rare events that live in the tail of a probability distribution. As developed in Coles (2001) and applied to risk by McNeil, Frey & Embrechts (2005), it offers two standard routes: the Generalized Extreme Value (GEV) distribution for block maxima and the Generalized Pareto Distribution (GPD), used in the peaks-over-threshold approach, for exceedances above a high threshold. | Conditional Value-at-Risk (CVaR), also called Expected Shortfall, is a coherent tail-risk measure that quantifies the conditional expectation of losses beyond the Value-at-Risk threshold. It was introduced for optimization by Rockafellar and Uryasev (2000) and shown to be coherent by Acerbi and Tasche (2002), and it has replaced VaR as the regulatory standard under Basel III/IV. | EGARCH is an asymmetric GARCH variant, introduced by Nelson in 1991, that models the leverage effect in which bad news raises volatility more than good news of the same size. It captures the negative-shock asymmetry of financial return series by modelling the logarithm of the conditional variance. |
| ScholarGateНабор данных ↗ |
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