Results 1 to 10 of about 482 (152)
Estimating Risk of Natural Gas Portfolios by Using GARCH-EVT-Copula Model [PDF]
The Scientific World Journal, 2015 This paper concentrates on estimating the risk of Title Transfer Facility (TTF) Hub natural gas portfolios by using the GARCH-EVT-copula model. We first use the univariate ARMA-GARCH model to model each natural gas return series.
Jiechen Tang +3 more
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Refining value-at-risk estimates using a Bayesian Markov-switching GJR-GARCH copula-EVT model. [PDF]
PLoS ONE, 2018 In this paper, we propose a model for forecasting Value-at-Risk (VaR) using a Bayesian Markov-switching GJR-GARCH(1,1) model with skewed Student's-t innovation, copula functions and extreme value theory.
Marius Galabe Sampid +2 more
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Modeling Contagion of Financial Markets: A GARCH-EVT Copula Approach
Engineering Proceedings, 2023 To better assess the financial contagion through the VaR, several recent studies used copula models. In the same context, this paper addresses the inefficiency of the classical approach such as a normal distribution in modeling the tail risk, by using ...
Gueï Cyrille Okou, Amine Amar
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Value at Risk Estimation Using the GARCH-EVT Approach with Optimal Tail Selection [PDF]
Mathematics, 2020 A conditional Extreme Value Theory (GARCH-EVT) approach is a two-stage hybrid method that combines a Generalized Autoregressive Conditional Heteroskedasticity (GARCH) filter with the Extreme Value Theory (EVT).
Krzysztof Echaust, Małgorzata Just
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Interest rate risk of Chinese commercial banks based on the GARCH-EVT model
Humanities & Social Sciences Communications, 2023 Interest rate market risk faced by China’s commercial banks is increasing after the announcement that the interest rate marketisation is completed. This paper examines the Value-at-Risk, and statistical properties in the daily price return of Shanghai ...
Xin Chen +4 more
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Applying GARCH-EVT-Copula Forecasting in Active Portfolio Management [PDF]
, 2021 Denne masteroppgaven benytter out-of-sample backesting for å prestasjonsevaluere ulike kortsiktige porteføljeoptimeringsstrategier som bygger på 20 forskjellige GARCH-EVT-Copula simulerings-modeller. Vi løser tre ulike optimeringsproblemer for hver modell: maksimum Sharpe, minimum varians og minimum CVaR, og bruker tilsvarende optimeringsproblemer for ...
Søfteland, Andreas +1 more
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Discrete Dynamics in Nature and Society, 2022 This paper aims to analyze and compare the ability of bitcoin, gold, and dollar to diversify the risk of traditional market such as crude oil and stock markets.
Feng Jin, Jingwei Li, Guangchen Li
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Sensitivity Analysis of Two-Step Multinomial Backtests for Evaluating Value-at-Risk [PDF]
تحقیقات مالی, 2022 Objective: Nowadays, the measurement of the risk of the marketplace has a significant effect on investments; however, the inadequate evaluation of this risk will cause a financial crisis and possible bankruptcy.
Mohamad Ali Rastegar, Mehdi Hemati
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Measurement of Risk Based on QR-GARCH-EVT Model [PDF]
Applied Mathematics and Nonlinear Sciences, 2020 Abstract This paper described the volatility characteristic of the rate of return of financial asset by using QR-GARCH model, through introducing EVT model and constructing the extreme risk measure model based on QR-GARCH-EVT. In this paper, HS300 index data test was applied to show that under 5% significance level, and QR-GARCH-EVT ...
Duan, Jun, Zhang, Baoshuai
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Forecasting gains by using extreme value theory with realised GARCH filter
IIMB Management Review, 2021 Early empirical evidence suggests that the realised generalised autoregressive conditional heteroskedasticity (GARCH) model provides significant forecasting gains over the standard GARCH models in volatility forecasting.
Samit Paul, Prateek Sharma
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