Asymmetric sensitivities of house prices to housing fundamentals: evidence from UK regions. Issue 3 (19th December 2018)

• Record Type: Journal Article
• Authors: Alqaralleh, Huthaifa
• Is Part Of: International journal of housing markets and analysis. Volume 12:Issue 3(2019)
• Page Start: 442
• Page End: 455
• Publication Date: 2018-12-19
• Subjects: Housing prices -- Housing market analysis -- Housing affordability -- House prices asymmetric -- SATR model -- UK regions; Residential real estate -- Periodicals; 333.3382205
• DOI: 10.1108/IJHMA-06-2018-0047
• Languages: English
• ISSNs: 1753-8270

Abstract

Abstract : Purpose: This paper aims to examine asymmetries in the house price cycle and to understand the dynamic of housing prices, incorporating macroeconomic variables at regional and country level, namely, housing affordability, the unemployment rate, mortgage rate and inflation rate. Design/methodology/approach: To highlight significant differences in the asymmetric patterns of house prices between regions, the STAR model is adopted. Findings: The authors highlight significant differences in the asymmetric patterns of house prices between regions, in which some areas showed asymmetric response over the housing cycle; here the LSTAR model outperforms other models. In contrast, some regions (the South West and the North West) showed symmetric properties in the tails of the cycle; therefore, the ESTAR model was adopted in their case. Practical implications: Being limited to a few fundamentals, this study opens an avenue for further research to investigate this dynamic using in addition such demand-supply factors as land supply, construction cost and loans made for housing. These findings can also be used to examine whether other models such as ARIMA, exponential smoothing or artificial neural networks can more accurately forecast housing prices. Originality/value: The present paper aims to highlight housing affordability as a cause of asymmetric behaviour in house prices. Put differently, the authors seek to understand the dynamics of housing prices with other fundamentals incorporating macroeconomic variables in regions and country level data as a means of achieving a more concise result.