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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; Trojani, Fabio - 2007
Persistent link: https://www.econbiz.de/10003597922
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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
Mancini, Loriano; Trojani, Fabio - In: Journal of financial econometrics : official journal of … 9 (2011) 2, pp. 281-313
Persistent link: https://www.econbiz.de/10009125125
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Ranking the Predictive Performances of Value-at-Risk Estimation Methods
Sener, Emrah - 2010
We propose a novel ranking model and a complementary predictive ability test statistic to investigate the forecasting performances of different Value at Risk (VaR) methods. The ranking model develops a unified framework which penalizes excessive capital allocation, autocorrelation of violations...
Persistent link: https://www.econbiz.de/10013146585
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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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Robust Capital Requirements with Model Risk
Ravanelli, Claudia - 2014
We investigate capital requirements based on Value at Risk (V@R) and Average Value at Risk (AV@R) when the bank's econometric model only approximately describes the true, unknown return generating process, as is often the case in practice. We provide a simple formula for such capital...
Persistent link: https://www.econbiz.de/10013063454
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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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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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Time-varying effects of housing attributes and economic environment on housing price
Friedrich, Marina; Lin, Yicong; Ramdaras, Pavitram; … - 2023
linear estimation and propose a bootstrap procedure for conducting inference. By employing monthly data from the Dutch …
Persistent link: https://www.econbiz.de/10014313698