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Posterior-predictive evidence on US inflation using Philips curve models with non-filtered time series
Basturk, Nalan; Çakmaklı, Cem; Ceyhan, Pinar; Dijk, … - 2013
Persistent link: https://www.econbiz.de/10009724100
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Posterior-predictive evidence on US inflation using extended Philips curve models with non-filtered data
Basturk, Nalan; Çakmaklı, Cem; Ceyhan, Pinar; Dijk, … - 2013
Persistent link: https://www.econbiz.de/10010191387
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Out-of-sample comparison of Copula specifications in multivariate density forecasts
Diks, Cees G. H.; Panchenko, Valentyn; Dijk, Dick van - 2008
Persistent link: https://www.econbiz.de/10003787159
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Forecasting daily time series using periodic unobserved components time series models
Koopman, Siem Jan; Ooms, Marius - 2004
Persistent link: https://www.econbiz.de/10002503685
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The power of weather : some empirical evidence on predicting day-ahead power prices through weather forecasts
Huurman, Christian; Ravazzolo, Francesco; Zhou, Chen - 2007
Persistent link: https://www.econbiz.de/10003482711
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An alternative Bayesian approach to structural breaks in time series models
Hauwe, Sjoerd van den; Paap, Richard; Dijk, Dick van - 2011
Persistent link: https://www.econbiz.de/10008857052
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Combining predictive densities using Bayesian filtering with applications to US economics data
Billio, Monica; Casarin, Roberto; Ravazzolo, Francesco; … - 2011
Persistent link: https://www.econbiz.de/10008809881
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Stock index returns' density prediction using GARCH models : frequentist or Bayesian estimation?
Hoogerheide, Lennart F.; Ardia, David; Corré, Nienke - 2011
Persistent link: https://www.econbiz.de/10008824705
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Does disagreement amongst forecasters have predictive value?
Legerstee, Rianne; Franses, Philip Hans - 2010
Persistent link: https://www.econbiz.de/10008654192
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Choosing expected shortfall over VaR in Basel III using stochastic dominance
Chang, Chia-Lin; Jiménez-Martín, Juan-Ángel; … - 2015
Bank risk managers follow the Basel Committee on Banking Supervision (BCBS) recommendations that recently proposed shifting the quantitative risk metrics system from Value-at-Risk (VaR) to Expected Shortfall (ES). The Basel Committee on Banking Supervision (2013, p. 3) noted that: "a number of...
Persistent link: https://www.econbiz.de/10011431395