scholarly journals Estimating Real Estate Price Movements for High Frequency Tradable Indexes in a Scarce Data Environment

2010 ◽  
Vol 45 (2) ◽  
pp. 522-543 ◽  
Author(s):  
Sheharyar Bokhari ◽  
David Geltner
2011 ◽  
Vol 368-373 ◽  
pp. 3078-3082
Author(s):  
Zhou Ji Meng ◽  
Tao Zhou ◽  
Shu Hua Gao

In the passage, the indicators of supply and demand of real estate market in Xi'an are established, and such indicators are synthesized into a class of synthetic indicators using “principal component analysis”. After the spectral analysis of synthetic indicators, periodic change of supply and demand of real estate through spectral density could be determined. Through the analysis, great randomness existed in supply and demand of real estate in Xi’an. Furthermore, in the medium term, a 3.3 years’ secondary cycle still existed in synthetic indicators of demand, while randomness existed in synthetic indicators of supply. Such findings suggest a declined trend existed in real estate price in medium term of Xi’an.


2016 ◽  
Vol 19 (2) ◽  
pp. 249-264
Author(s):  
Steve P. Fraser ◽  
◽  
Marcus T. Allen ◽  

Considerable prior research confirms the existence of real estate price premiums associated with golf course amenities in residential development projects. This study examines a unique residential development project in which membership in a golf club is appurtenant to the real estate: ownership of certain (but not all) dwellings in the project includes deeded membership in the project¡¦s golf club. In this development project, golf memberships can only be obtained or disposed of by acquiring or selling the associated dwelling, respectively. The results of this analysis indicates that price premiums associated with appurtenant golf memberships, after controlling for golf course view and other relevant property characteristics, are significantly positive. Furthermore, the results indicate that the magnitude of the price premium for appurtenant golf memberships varies across dwelling types (detached vs. attached) in this project. These findings may be important for housing developers, consumers, lenders, appraisers, and property and income tax authorities.


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