Transaction Volume and Price Dispersion in the Presale and Spot Real Estate Market - Implications for Construction of Repeat Sales Price Indices

Author(s):  
Chung Yim Edward Yiu ◽  
K.W. Chau ◽  
Siu Kei Wong
2002 ◽  
Vol 30 (2) ◽  
pp. 239-261 ◽  
Author(s):  
Liang Peng

2014 ◽  
Vol 32 (2) ◽  
pp. 139-153 ◽  
Author(s):  
Francesca Salvo ◽  
Marina Ciuna ◽  
Manuela De Ruggiero

Purpose – A useful instrument to understand and examine the inner workings of the property trade is devising index numbers of property prices based on historical sequences of market prices. The present work aims at the definition of index numbers of property prices, proposing an innovative methodology compared with what usually recurs in literature. The purpose of this paper is to discuss these issues. Design/methodology/approach – The analysis proposed, based on the mechanisms of formation of stock indices, investigates the analogies between stock and property information, according to the peculiarities of the property trade, leading to a methodology approach, derived from Simple Price Index Method, able to consider possible anomalies in the collected sample of purchase prices, using weighting coefficients based on reliability coefficients of sale prices of properties. Findings – The novel approach proposed has led to the definition of a original methodology useful to appraise property price index numbers and other derived indicators, effective for interpreting and identifying real estate market dynamics in a given area of study, regarded as a standard estimating methodology applicable to any geographical context and kind of property. Practical implications – Methodology proposed in this work is useful to revalue real estate sales price and to consider presence of anomalous sales price in property samples. Originality/value – The calculation of index numbers of prices is usually based on Simple Price Index Methods. Literature shows large use of different methods, such as Repeat Sales Method, Hedonic Price Method, Repeat Value Model. The present work propose an innovative methodology able to detect the presence of possible anomalous market prices in the representative sample, using an appropriate vector of weights in order to take into account the level of reliability of market data.


2018 ◽  
Vol 9 (1) ◽  
pp. 55-69 ◽  
Author(s):  
Michał Głuszak ◽  
Jarosław Czerski ◽  
Robert Zygmunt

Research background: There are several methods to construct a price index for infrequently traded real estate assets (mainly residential, but also office and land). The main concern to construct a valid and unbiased price index is to address the problem of heterogeneity of real estate or put differently to control for both observable and unobservable quality attributes. The one most frequently used is probably the hedonic regression methodology (classic, but recently also spatial and quantile regression). An alternative approach to control for unobservable differences in assets’ quality is provided by repeat sales methodology, where price changes are tracked based on differences in prices of given asset sold twice (or multiple times) within the study period. The latter approach is applied in renown S&P CoreLogic Case-Shiller house price indices. Purpose of the article: The goal of the paper is to assess the applicability of repeat sales methodology for a major housing market in Poland. Previous studies used the hedonic methodology or mix adjustment techniques, and applied for major metropolitan areas. The most widely known example is the set of quarterly house price indices constructed by NBP — especially for the primary and secondary market. The repeat sales methodology has not been adopted with significant success to date — mainly because of concern regarding relative infrequency of transactions on the housing market in most metropolitan areas (thus a potentially small sample of repeated sales). Methods: The study uses data on repeat sales of residential transactions in Krakow from 2003 to 2015. We apply different specifications of repeat sales index construction and compare respective values to the hedonic price index for Krakow estimated by NBP. Findings & Value added: Findings suggest that repeat sales house sales indices can be used to track price dynamics for major metropolitan areas in Poland. The study suggests problems that need to be addressed in order to get unbiased results — mainly data collection mechanism and estimation procedure.


2014 ◽  
Vol 22 (3) ◽  
pp. 14-27 ◽  
Author(s):  
Sebastian Kokot

Abstract Residential property price indices can serve as a useful tool in the practice of real property market analysts, investment advisers, property developers, certified property appraisers, estate agents and managers. They can also be applied in property price valorization in specific legal positions. The Polish Act on Real Estate Management puts an obligation on the President of the Central Statistical Office to announce real property price indices, but the CSO fails to fulfill this obligation. The author’s rationale for this article is to contribute to works on rules of how to build property price indices. Presented within are the results of research on determining the price indices of such types of residential property as: a part of a building constituting a separate property and strata titles in housing cooperatives. The flats were divided into categories by floor area and by their location in 16 voivodeship capitals. The major purpose of the study is to prove that the prices of flats of different floor area change at different rates. Consequently, it seems worth considering whether a more detailed segmentation of the real estate market would be worthwhile for the sake of more accurate real property price indicators.


2019 ◽  
Vol 10 (5) ◽  
pp. 380-386
Author(s):  
Jan Veuger ◽  

The 34th annual congress of April 10-14 this year took place in Bonita Springs (Florida) where the professionals in real-estate education and research discussed six themes: global economy and capital flows, real estate market cycles, demographic effects, future-proof real estate, disruption in technology and future educational models.


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