One important characteristic of dwellings is that housing can be regarded as an investment or asset. Our paper focuses on this function of dwellings and develops a stochastic portfolio choice model for the housing market, which is easy to incorporate into medium and large-scale macro models. Theoretical results suggest that house prices move in line with households’ income, although house prices have a higher variance than income does. Another important implication of the model is that the portfolio share of housing investment depends on the excess return, defined as the difference between return on housing and financial investment and the variance of excess return describing the riskiness of an asset. Our intention is to test these theoretical implications of the model on several countries, however we only test on UK data, due to the data availability. In this case, empirical results strengthen the model framework.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
file. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
Publisher Info
Paper provided by Magyar Nemzeti Bank (The Central Bank of Hungary) in its series MNB Working Papers with number
2003/6.
Find related papers by JEL classification: E22 - Macroeconomics and Monetary Economics - - Macroeconomics: Consumption, Saving, Production, Employment, and Investment - - - Capital; Investment; Capacity G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Cited by: (explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)