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Daily exchange rate behaviour and hedging of currency risk
Bos, Charles S.; Mahieu, Ronald J.; Dijk, Herman K. van - 2000 - rev.
Persistent link: https://www.econbiz.de/10001554496
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Daily exchange rate behaviour and hedging of currency risk
Bos, Charles S.; Mahieu, Ronald J.; Dijk, Herman K. van - 1999
Persistent link: https://www.econbiz.de/10001412189
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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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Evidence on a real business cycle model with neutral and investment-specific technology shocks using Bayesian model averaging
Strachan, Rodney W.; Dijk, Herman K. van - 2010
Persistent link: https://www.econbiz.de/10003974036
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Divergent priors and well behaved Bayes factors
Strachan, Rodney W.; Dijk, Herman K. van - 2011
Persistent link: https://www.econbiz.de/10008809884
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A class of adaptive EM-based importance sampling algorithms for efficient and robust posterior and predictive simulation
Hoogerheide, Lennart; Opschoor, Anne; Dijk, Herman K. van - 2011
Persistent link: https://www.econbiz.de/10008809885
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To bridge, to warp or to wrap? A comparative study of Monte Carlo methods for efficient evaluation of marginal likelihoods
Ardia, David; Hoogerheide, Lennart; Dijk, Herman K. van - 2009
Persistent link: https://www.econbiz.de/10003813789
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Possibly ill-behaved posteriors in econometric models
Hoogerheide, Lennart; Dijk, Herman K. van - 2008
Highly non-elliptical posterior distributions may occur in several econometric models, in particular, when the likelihood information is allowed to dominate and data information is weak. We explain the issue of highly non-elliptical posteriors in a model for the effect of education on income...
Persistent link: https://www.econbiz.de/10011374406
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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