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.
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 language | English |
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Article number | nby034 |
Number of pages | 36 |
Journal | Journal of Financial Econometrics |
Early online date | 12 Jan 2019 |
DOIs | |
Publication status | E-pub ahead of print - 12 Jan 2019 |
Research Groups and Themes
- AF Financial Markets
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Dive into the research topics of 'Equity Premium Forecasts with an Unknown Number of Structural Breaks'. Together they form a unique fingerprint.Profiles
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Professor I G Bulkley
- School of Accounting and Finance - Business School - Emeritus Professor
Person: Honorary and Visiting Academic