Examination of property forecasting models - accuracy and its improvement through combination forecasting

Arvydas Jadevicius, Brian Sloan and Andrew Brown

ERES from European Real Estate Society (ERES)

Abstract: This paper investigates property forecasting accuracy and its improvement. As it suggests, despite increased sophistication of property market modelling and forecasting, there still remains a degree of inaccuracy between model outputs and actual property market performance. Subsequently, the paper presents the principle of combination forecasting as a medium helping to achieve greater predictive accuracy. The research implements combination forecasting principle. It assesses whether combination forecasts from different forecasting techniques are better than single model outputs. It examines which of them - combination or single forecast - fits the UK property market better, and which of these options forecasts best.

JEL-codes: R3 (search for similar items in EconPapers)
Date: 2012-01-01
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://eres.architexturez.net/doc/oai-eres-id-eres2012-082 (text/html)
https://eres.architexturez.net/system/files/pdf/eres2012_082.content.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:arz:wpaper:eres2012_082

Access Statistics for this paper

More papers in ERES from European Real Estate Society (ERES) Contact information at EDIRC.
Bibliographic data for series maintained by Architexturez Imprints ().