Equity Premium Forecasts with an Unknown Number of Structural Breaks

George Bulkley, Simon Smith, david leslie

Research output: Contribution to journalArticle (Academic Journal)

4 Citations (Scopus)
131 Downloads (Pure)

Abstract

Estimation of models with structural breaks usually assumes a pre-specied number of breaks. Previous models which do allow an endogenously determined number of breaks require a simple structural model, and rarely allow for information transfer across the break.

We introduce a methodology that allows the number of breaks to be determined endogenously and including an economically-motivated model of transition regimes between each break. We demonstrate the usefulness of our approach for forecasts of the equity premium. We find the demonstrated success of the historical average can be improved upon by an economic model with theory informed priors estimated using our methodology.
Original languageEnglish
Article numbernby034
Number of pages36
JournalJournal of Financial Econometrics
Early online date12 Jan 2019
DOIs
Publication statusE-pub ahead of print - 12 Jan 2019

Research Groups and Themes

  • AF Financial Markets

Fingerprint

Dive into the research topics of 'Equity Premium Forecasts with an Unknown Number of Structural Breaks'. Together they form a unique fingerprint.

Cite this