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Robust value at risk prediction
Mancini, Loriano (contributor); Trojani, Fabio (contributor) - 2007
Persistent link: https://www.econbiz.de/10003674273
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Robust value at risk prediction
Mancini, Loriano (contributor); Trojani, Fabio (contributor) - 2007
Persistent link: https://www.econbiz.de/10003550862
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Robust Value at Risk Prediction : Appendix
Mancini, Loriano - 2010
forecast evaluation; provides additional Monte Carlo simulation results on GARCH model estimation and VaR prediction; extends …This appendix extends simulation and empirical results reported in Mancini and Trojani (2010). It discusses the choice …
Persistent link: https://www.econbiz.de/10013138328
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Do long-memory GARCH-type-value-at-risk models outperform none-and semi-parametric value-at-risk models?
Buberkoku, Onder - In: International Journal of Energy Economics and Policy : IJEEP 9 (2019) 2, pp. 199-215
Persistent link: https://www.econbiz.de/10012027037
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Value-at-Risk Forecasting Ability of Filtered Historical Simulation for Non-Normal GARCH Returns
Adcock, Christopher J. - 2013
Persistent link: https://www.econbiz.de/10013090404
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Size does matter : a study on the required window size for optimal quality market risk models
Buczyńsk, Mateusz; Chlebus, Marcin - 2020
Persistent link: https://www.econbiz.de/10012322119
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Multivariate Nonparametric Estimation of Value at Risk and Expected Shortfall for Nonlinear Returns Using Extreme Value Theory
Brauchler, Ryan - 2012
extreme value theory (EVT) to propose a multivariate estimation procedure for value-at-risk (VaR) and expected shortfall (ES … estimators of market risk. Despite advances in the theory and practice of evaluating risk, existing measures are notoriously poor … contrast them with the popular Gaussian GARCH estimator in an extensive Monte Carlo simulation. The method we propose generally …
Persistent link: https://www.econbiz.de/10013100621
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Asymmetric realized volatility risk
Allen, David E.; McAleer, Michael; Scharth, Marcel - In: Journal of risk and financial management : JRFM 7 (2014) 2, pp. 80-109
In this paper, we document that realized variation measures constructed from high-frequency returns reveal a large degree of volatility risk in stock and index returns, where we characterize volatility risk by the extent to which forecasting errors in realized volatility are substantive. Even...
Persistent link: https://www.econbiz.de/10011553303
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Forecasting Value-at-Risk and Expected Shortfall Using Fractionally Integrated Models of Conditional Volatility : International Evidence
Degiannakis, Stavros Antonios - 2018
The present study compares the performance of the long memory FIGARCH model, with that of the short memory GARCH specification, in the forecasting of multi-period Value-at-Risk (VaR) and Expected Shortfall (ES) across 20 stock indices worldwide. The dataset is comprised of daily data covering...
Persistent link: https://www.econbiz.de/10012910119
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A new semiparametric mirrored historical simulation value-at-risk model
Radivojević, Nikola; Filipović, Luka; Brzaković, … - In: Romanian journal of economic forecasting 23 (2020) 1, pp. 5-21
Persistent link: https://www.econbiz.de/10012421878