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Published in: The Journal of Real Estate Finance and Economics 4/2023

04-01-2022

Housing Risk and Returns in Submarkets with Spatial Dependence and Heterogeneity

Authors: P. S. Morawakage, G. Earl, B. Liu, E. Roca, A. Omura

Published in: The Journal of Real Estate Finance and Economics | Issue 4/2023

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Abstract

Employing a recently developed panel econometric technique, first, we show that accounting for spatial dependence and heterogeneity yields more accurate risk factor coefficients and abnormal housing returns. Rather than systematic risks, idiosyncratic risks explain the variations in residential housing excess returns. After controlling for asset-specific and systematic risk factors, the positive and significant impact of the unobservable common factors on the excess returns suggests that speculative market forces drive the housing excess returns. Second, we then analyze the risks and returns of houses in affordable and expensive submarkets allowing for spatial dependence and heterogeneity. We find that houses in the affordable submarkets perform better than houses in the expensive submarkets. Thus, the potential demand for houses in the affordable submarket may aggravate the housing affordability crisis. Our study’s results, therefore, encourage policymakers and investors to view the housing market as a collection of regional units and submarkets, but not as a single national market.

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Appendix
Available only for authorised users
Footnotes
1
Standard asset pricing models including CAPM by Sharpe (1964), five factor model by Fama & French (2015).
 
5
Some sellers may sell houses too cheaply and some buyers may pay too much for their homes relative to the market expectations (Linneman, 1986).
 
6
We employed orthogonal varimax rotation to rotate the factors in each principal component.
 
7
There may be a cost associated with combining small lots into one large lot or dividing a large lot into smaller lots. These may cause the shape of the relationship to be concave or convex.
 
10
Global market premium was calculated by deducting the three months Treasury bill rate of USA from S&P 500 index returns. Respective housing excess returns were also calculated by deducting the USA Treasury bill rate.
 
11
Rental yield, crime rate and time on the market have negative impacts on the housing excess returns. In the housing risk index 2 (HRI 2) crime rate has the largest weight.
 
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Metadata
Title
Housing Risk and Returns in Submarkets with Spatial Dependence and Heterogeneity
Authors
P. S. Morawakage
G. Earl
B. Liu
E. Roca
A. Omura
Publication date
04-01-2022
Publisher
Springer US
Published in
The Journal of Real Estate Finance and Economics / Issue 4/2023
Print ISSN: 0895-5638
Electronic ISSN: 1573-045X
DOI
https://doi.org/10.1007/s11146-021-09877-7

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