Forecasting the oil price using house prices

Research output: Working paperDiscussion paper

Abstract

We show that house prices from Aberdeen in the UK improve in- and out-of-sample oil price forecasts. The improvements are of a similar magnitude to those attained using macroeconomic indicators. We ex- plain these forecast improvements with the dominant role of the oil industry in Aberdeen. House prices aggregate the dispersed knowl- edge of the future oil price that exists in the city. We obtain similar empirical evidence for Houston, another city dominated by the oil in- dustry. Consistent with our explanation, we find that house prices from economically more diversified areas in the UK and the US do not improve oil price forecasts.
Original languageEnglish
Place of PublicationBerlin
PublisherHumboldt-Universität zu Berlin
Number of pages56
Publication statusPublished - 2015

Publication series

NameSFB 649 Discussion Paper
No.2015-041

Keywords

  • oil price forecasting
  • house prices
  • knowledge spillover

Fingerprint Dive into the research topics of 'Forecasting the oil price using house prices'. Together they form a unique fingerprint.

  • Cite this