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Accurate risk and density prediction of asset prices
Steude, Sven Christian (contributor) - 2007
Persistent link: https://www.econbiz.de/10003640144
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Bayesian forecasting of value at risk and expected shortfall using adaptive importance sampling
Hoogerheide, Lennart F.; Dijk, Herman K. van - 2008
Persistent link: https://www.econbiz.de/10003774522
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Bayesian forecasting of Value at Risk and Expected Shortfall using adaptive importance sampling
Hoogerheide, Lennart; Dijk, Herman K. van - In: International journal of forecasting 26 (2010) 2, pp. 231-247
Persistent link: https://www.econbiz.de/10003980297
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Essays in forecast evaluation
Giacomini, Raffaella - 2003
Persistent link: https://www.econbiz.de/10003622452
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Modeling and forecasting expected shortfall with the generalized asymmetric student-t and asymmetric exponential power distributions
Zhu, Dongming; Galbraith, John W. - In: Journal of empirical finance 18 (2011) 4, pp. 765-778
Persistent link: https://www.econbiz.de/10009306526
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Evaluating an EGARCH model with fat tails, skewness and leverage in forecasting VaR
Benito Muela, Sonia - In: Journal of contemporary management : JMC 4 (2015) 3, pp. 67-80
Persistent link: https://www.econbiz.de/10011392904
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Forecasting value-at-risk under temporal and portfolio aggregation
Kole, Erik; Markwat, Thijs; Opschoor, Anne; Dijk, Dick van - 2015
We examine the impact of temporal and portfolio aggregation on the quality of Value-at-Risk (VaR) forecasts over a horizon of ten trading days for a well-diversified portfolio of stocks, bonds and alternative investments. The VaR forecasts are constructed based on daily, weekly or biweekly...
Persistent link: https://www.econbiz.de/10011431503
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Forecasting VaR models under different volatility processes and distributions of return innovations
Dendramis, Yiannis; Spungin, Giles E.; Tzavalis, Elias - In: Journal of forecasting 33 (2014) 7, pp. 515-531
Persistent link: https://www.econbiz.de/10011282095
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Bayesian forecasting of value at risk and expected shortfall using adaptive importance sampling
Hoogerheide, Lennart; Dijk, Herman K. van - 2008
An efficient and accurate approach is proposed for forecasting Value at Risk [VaR] and Expected Shortfall [ES] measures in a Bayesian framework. This consists of a new adaptive importance sampling method for Quantile Estimation via Rapid Mixture of t approximations [QERMit]. As a first step the...
Persistent link: https://www.econbiz.de/10011377096
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Assessing coherent value-at-risk and expected shortfall with extreme expectiles
Daouia, Abdelaati; Girard, Stéphane; Stupfler, Gilles - 2015
Persistent link: https://www.econbiz.de/10011302290