विधियों की तुलना करें

	पूंछ जोखिम माप (अपेक्षित अल्पता, स्पेक्ट्रल, एक्सपेक्टाइल)	गार्छ मॉडल (अस्थिरता पूर्वानुमान)
क्षेत्र	वित्त	अर्थमिति
परिवार	Regression model	Regression model
उद्भव वर्ष	1999	1986
प्रवर्तक	Artzner, Delbaen, Eber & Heath (coherent risk axioms); Acerbi & Tasche (Expected Shortfall)	Tim Bollerslev
प्रकार	Coherent tail risk measure	Conditional volatility model
मौलिक स्रोत	Artzner, P., Delbaen, F., Eber, J.-M. & Heath, D. (1999). Coherent Measures of Risk. Mathematical Finance, 9(3), 203–228.	Bollerslev, T. (1986). Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics, 31(3), 307–327.
उपनाम	expected shortfall, conditional value at risk, CVaR, spectral risk measure	GARCH, GARCH(1,1), conditional volatility model, GARCH Modeli (Oynaklık Tahmini)
संबंधित	5	5
सारांश	Tail 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.