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Krahasoni metodat

Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.

Matja e Rrezikut të Bishtit (Pragjet e Pritshme, Spektrale, Ekspektile)×Modeli GARCH (Parashikimi i Volatilitetit)×
FushaFinancëEkonometri
FamiljaRegression modelRegression model
Viti i origjinës19991986
KrijuesiArtzner, Delbaen, Eber & Heath (coherent risk axioms); Acerbi & Tasche (Expected Shortfall)Tim Bollerslev
LlojiCoherent tail risk measureConditional volatility model
Burimi themeluesArtzner, P., Delbaen, F., Eber, J.-M. & Heath, D. (1999). Coherent Measures of Risk. Mathematical Finance, 9(3), 203–228. DOI ↗Bollerslev, T. (1986). Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics, 31(3), 307–327. DOI ↗
Emërtime të tjeraexpected shortfall, conditional value at risk, CVaR, spectral risk measureGARCH, GARCH(1,1), conditional volatility model, GARCH Modeli (Oynaklık Tahmini)
Të lidhura55
PërmbledhjaTail risk measures quantify the loss distribution beyond Value-at-Risk (VaR). Expected Shortfall — the expected loss given that VaR is exceeded — is the leading coherent risk measure, formalised by Artzner, Delbaen, Eber and Heath (1999) and shown to be coherent by Acerbi and Tasche (2002). Spectral and expectile-based measures generalise it.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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ScholarGateKrahasoni metodat: Tail Risk Measures · GARCH Model. Marrë më 2026-06-18 nga https://scholargate.app/sq/compare