Arbeitspapier

Forecast Accuracy and Economic Gains from Bayesian Model Averaging using Time Varying Weights

Several Bayesian model combination schemes, including some novel approaches that simultaneously allow for parameter uncertainty, model uncertainty and robust time varying model weights, are compared in terms of forecast accuracy and economic gains using financial and macroeconomic time series. The results indicate that the proposed time varying model weight schemes outperform other combination schemes in terms of predictive and economic gains. In an empirical application using returns on the S&P 500 index, time varying model weights provide improved forecasts with substantial economic gains in an investment strategy including transaction costs. Another empirical example refers to forecasting US economic growth over the business cycle. It suggests that time varying combination schemes may be very useful in business cycle analysis and forecasting, as these may provide an early indicator for recessions.

Sprache
Englisch

Erschienen in
Series: Tinbergen Institute Discussion Paper ; No. 09-061/4

Klassifikation
Wirtschaft
Bayesian Analysis: General
Statistical Simulation Methods: General
Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
Forecasting Models; Simulation Methods
Portfolio Choice; Investment Decisions
Thema
forecast combination
Bayesian model averaging
time varying model weights
portfolio optimization
business cycle
Prognoseverfahren
Bayes-Statistik
Portfolio-Management
Konjunkturprognose
USA

Ereignis
Geistige Schöpfung
(wer)
Hoogerheide, Lennart
Kleijn, Richard
Ravazzolo, Francesco
van Dijk, Herman K.
Verbeek, Marno
Ereignis
Veröffentlichung
(wer)
Tinbergen Institute
(wo)
Amsterdam and Rotterdam
(wann)
2009

Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Hoogerheide, Lennart
  • Kleijn, Richard
  • Ravazzolo, Francesco
  • van Dijk, Herman K.
  • Verbeek, Marno
  • Tinbergen Institute

Entstanden

  • 2009

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