Krahasoni metodat
Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.
| Teoria e Vlerave Ekstreme (EVT)× | Volatiliteti i realizuar dhe modeli HAR× | |
|---|---|---|
| Fusha | Financë | Financë |
| Familja | Regression model | Regression model |
| Viti i origjinës≠ | 2001 | 2009 |
| Krijuesi≠ | Coles (textbook treatment); McNeil, Frey & Embrechts | Corsi (HAR model); Andersen, Bollerslev, Diebold & Labys (realized volatility) |
| Lloji≠ | Tail / extreme-event model | Time-series regression of realized variance |
| Burimi themelues≠ | Coles, S. (2001). An Introduction to Statistical Modeling of Extreme Values. Springer. ISBN: 978-1852334598 | Corsi, F. (2009). A Simple Approximate Long-Memory Model of Realized Volatility. Journal of Financial Econometrics, 7(2), 174-196. DOI ↗ |
| Emërtime të tjera | EVT, generalized extreme value, generalized Pareto distribution, peaks over threshold | realized variance, HAR model, heterogeneous autoregressive model of realized volatility, HAR-RV |
| Të lidhura | 5 | 5 |
| Përmbledhja≠ | 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. | 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. |
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