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Ujian Balik Nilai-dalam-Risiko (VaR)×Model GARCH (Peramalan Volatiliti)×
BidangKewanganEkonometrik
KeluargaRegression modelRegression model
Tahun asal19981986
PengasasKupiec (1995); Christoffersen (1998); Engle & Manganelli (DQ test)Tim Bollerslev
JenisStatistical hypothesis tests on VaR violation sequencesConditional volatility model
Sumber perintisKupiec, 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 ↗
AliasVaR backtest, Kupiec test, Christoffersen test, Dynamic Quantile testGARCH, GARCH(1,1), conditional volatility model, GARCH Modeli (Oynaklık Tahmini)
Berkaitan35
RingkasanVaR 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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ScholarGateBandingkan kaedah: VaR Backtesting · GARCH Model. Dicapai 2026-06-15 daripada https://scholargate.app/ms/compare