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Upimaji wa Thamani-kwenye-Hatari (VaR) baada ya Kipindi×Modeli wa GARCH (Utabiri wa Msukosuko)×
NyanjaFedhaEkonometriki
FamiliaRegression modelRegression model
Mwaka wa asili19981986
MwanzilishiKupiec (1995); Christoffersen (1998); Engle & Manganelli (DQ test)Tim Bollerslev
AinaStatistical hypothesis tests on VaR violation sequencesConditional volatility model
Chanzo asiliaKupiec, 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 ↗
Majina mbadalaVaR backtest, Kupiec test, Christoffersen test, Dynamic Quantile testGARCH, GARCH(1,1), conditional volatility model, GARCH Modeli (Oynaklık Tahmini)
Zinazohusiana35
MuhtasariVaR 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.
ScholarGateSeti ya data
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  1. v1
  2. 1 Vyanzo
  3. PUBLISHED

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ScholarGateLinganisha mbinu: VaR Backtesting · GARCH Model. Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/compare