Artikel

On accuracy of survey forecasts of US mortgage spread

The cyclical variation behavior of the mortgage spread has motivated some studies to investigate its relationship to economic activity. Indeed, recent empirical findings indicate that the mortgage spread is a determinant/predictor of economic activity. We define the mortgage spread as the difference between the 30-year mortgage and 10-year Treasury rates and ask whether the Blue Chip (consensus) forecasts of these series are accurate for 1988-2015. Our findings indicate that the Blue Chip forecasts of both the 30-year mortgage and 10-year Treasury rates are biased, fail to outperform the random walk benchmark, and are directionally inaccurate. However, the Blue Chip forecasts of the mortgage spread are generally unbiased, outperform the random walk benchmark, and are directionally accurate-thus of value to a user. Given such evidence, a natural extension for future research is to explore whether the predictive information content of Blue Chip forecasts of the mortgage spread is a better predictor of output growth and whether it helps improve Blue Chip forecasts of output growth.

Language
Englisch

Bibliographic citation
Journal: Cogent Economics & Finance ; ISSN: 2332-2039 ; Volume: 6 ; Year: 2018 ; Issue: 1 ; Pages: 1-10 ; Abingdon: Taylor & Francis

Classification
Wirtschaft
Prices, Business Fluctuations, and Cycles: Forecasting and Simulation: Models and Applications
Interest Rates: Determination, Term Structure, and Effects
Financial Markets and the Macroeconomy
Subject
mortgage spread
unbiasedness
predictive information content
directional accuracy
asymmetric loss

Event
Geistige Schöpfung
(who)
Baghestani, Hamid
Event
Veröffentlichung
(who)
Taylor & Francis
(where)
Abingdon
(when)
2018

DOI
doi:10.1080/23322039.2018.1457467
Handle
Last update
10.03.2025, 11:41 AM CET

Data provider

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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • Baghestani, Hamid
  • Taylor & Francis

Time of origin

  • 2018

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