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Testiranje pouzdanosti vrijednosti u riziku (VaR)×Model GARCH (Prognoziranje volatilnosti)×
PodručjeFinancijeEkonometrija
ObiteljRegression modelRegression model
Godina nastanka19981986
TvoracKupiec (1995); Christoffersen (1998); Engle & Manganelli (DQ test)Tim Bollerslev
VrstaStatistical hypothesis tests on VaR violation sequencesConditional volatility model
Temeljni izvorKupiec, P. H. (1995). Techniques for Verifying the Accuracy of Risk Measurement Models. The Journal of Derivatives, 3(2), 73-84. DOI ↗Bollerslev, T. (1986). Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics, 31(3), 307–327. DOI ↗
Drugi naziviVaR backtest, Kupiec test, Christoffersen test, Dynamic Quantile testGARCH, GARCH(1,1), conditional volatility model, GARCH Modeli (Oynaklık Tahmini)
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 Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model, introduced by Tim Bollerslev in 1986, models the time-varying conditional variance of a financial time series. It captures volatility clustering and the ARCH effect, and is the standard tool for estimating risk and volatility in return series.
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ScholarGateUsporedite metode: VaR Backtesting · GARCH Model. Preuzeto 2026-06-15 s https://scholargate.app/hr/compare