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Testiranje vrednosti na rizik (VaR) unazad×HAR-RV model realizovane volatilnosti×
OblastFinansijeFinansije
PorodicaRegression modelRegression model
Godina nastanka19982009
TvoracKupiec (1995); Christoffersen (1998); Engle & Manganelli (DQ test)Fulvio Corsi
TipStatistical hypothesis tests on VaR violation sequencesLinear time-series regression for volatility
Temeljni izvorKupiec, P. H. (1995). Techniques for Verifying the Accuracy of Risk Measurement Models. The Journal of Derivatives, 3(2), 73-84. DOI ↗Corsi, F. (2009). A Simple Approximate Long-Memory Model of Realized Volatility. Journal of Financial Econometrics, 7(2), 174–196. DOI ↗
Drugi naziviVaR backtest, Kupiec test, Christoffersen test, Dynamic Quantile testHAR-RV, heterogeneous autoregressive realized volatility, Corsi HAR model, HAR-RV Modeli (Heterogeneous Autoregressive Realized Volatility)
Srodne35
SažetakVaR backtesting is a family of statistical tests that validate a risk model by comparing its Value-at-Risk forecasts against realised losses. It builds on Kupiec's (1995) unconditional coverage test, Christoffersen's (1998) conditional coverage test, and the Engle-Manganelli Dynamic Quantile (DQ) test.The HAR-RV model, introduced by Fulvio Corsi in 2009, forecasts realized volatility by decomposing it into daily, weekly, and monthly components. It is a simple linear regression that mirrors how market participants with different investment horizons react to volatility, and it naturally captures the long-memory behaviour of volatility.
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ScholarGateUporedite metode: VaR Backtesting · HAR-RV Model. Preuzeto 2026-06-17 sa https://scholargate.app/sr/compare