Appraisal Smoothing and Price Discovery in Real Estate Markets

Urban Studies ◽  
2003 ◽  
Vol 40 (5-6) ◽  
pp. 1047-1064 ◽  
Author(s):  
David Geltner ◽  
Bryan D. MacGregor ◽  
Gregory M. Schwann
2016 ◽  
Vol 19 (1) ◽  
pp. 27-49
Author(s):  
William Mingyan Cheung ◽  
◽  
James Chicheong Lei ◽  
Desmond Tsang ◽  
◽  
...  

This study examines whether property transaction affects the price discovery process in real estate markets. Prior literature shows that price discovery generally first takes place in the securitized public real estate investment trust (REIT) market. We conjecture that property transaction provides novel information to the direct real estate market and can change the dynamics between public and private real estate returns. We employ a unique dataset of property transactions to construct "transaction windows¨ and specifically examine the causality between public and private real estate markets around these periods. We form firm-level pairs of public and private price series, and estimate the normalized common factor loadings per Gonzalo and Granger (1995) by using a vector error-correction model. Our findings show that a significant proportion of price discovery happens in the private market instead of the public REIT market. Our results are robust to investments of different property types and different lengths of transaction windows. Overall, the findings in this study imply that property acquisition and disposition provide crucial information to the private real estate market and induce a reverse causality between the public and private markets.


1999 ◽  
Vol 02 (04) ◽  
pp. 459-470
Author(s):  
Chiuling Lu ◽  
Raymond W. So

The price discovery process of the Taipei residential real estate market is examined. Using data from the Ta-An District of Taipei City, empirical evidence indicates that there exists a causal relationship between rental rates and property prices. Results here suggest that the two real estate markets are linked together; hence investors and end users can use price information in one market to predict future movements of the other market.


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