Abstract
PurposeThe purpose of this paper is to empirically evaluate the wealth and credit‐price effects in the relations between housing prices and stock prices for Thailand using quarterly data from 1995 to 2006.Design/methodology/approachThe analysis relies on a four‐variable vector autoregression (VAR) framework consisting of house prices, stock prices, real output and consumer prices. Granger causality tests, impulse‐response functions and variance decompositions simulated from the estimated VAR systems are adopted as bases for inferences.FindingsThe results obtained from Granger causality tests, impulse‐response functions and variance decompositions all suggest a unidirectional causality that runs from stock prices to house prices. Thus, the wealth effect is unequivocally supported for the Thai case. The paper also documents the importance of real activity in influencing both house and stock prices. Likewise, stock prices do exert significant effects on real output and to some extent the general price level. These results have an implication that stock market stability is critical for the stability of the housing market as well as the goods market.Originality/valueThe paper provides an emerging market perspective on stock price – house price relations, which seem to be lacking in the literature.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: International Journal of Housing Markets and Analysis
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.