Tesi: "Real property prices"

1

Tam, Yat-hung Terence, e 譚溢鴻. "Forecasting models on residential property price". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1993. http://hub.hku.hk/bib/B3126623X.

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2

Kong, Siu-chung. "Housing prices in Hong Kong, 1984-1997". Hong Kong : University of Hong Kong, 1999. http://sunzi.lib.hku.hk/hkuto/record.jsp?B21027845.

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3

Martin, Jon E. (Jon Egan). "Determining the Impact of Selected Variables on the Sale Price of Real Estate". Thesis, University of North Texas, 1989. https://digital.library.unt.edu/ark:/67531/metadc501198/.

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This paper presents the results of a study dealing with a number of issues regarding real estate investment. Utilizing a data set consisting of real estate transactions, questions relative to the impact of certain variables on the sale price are addressed. This analysis addresses the question of the impact of financial, physical, and location characteristics on the sales price of commercial grade real estate.

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4

Cheung, Chi-keung Derek. "The dynamics of rental values and prices of Hong Kong property /". Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B19877717.

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5

Kong, Siu-chung, e 江少忠. "Housing prices in Hong Kong, 1984-1997". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B31968417.

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6

Jin, Zengxiang, e 金增祥. "Price discovery in the property forward and spot markets". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B38957759.

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7

Law, Pui-man. "An empirical analysis of the impacts of government policies on private housing prices in Hong Kong". Click to view the E-thesis via HKU Scholars Hub, 2005. http://lookup.lib.hku.hk/lookup/bib/B3793613X.

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8

Shampton, John F. "Locational Determinants of Real Estate Valuation: an Analysis of Spatial Autocorrelation in the Hedonic Pricing of Real Estate". Thesis, University of North Texas, 1992. https://digital.library.unt.edu/ark:/67531/metadc278245/.

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Recent studies of the valuation of real estate have concentrated on the use of hedonic pricing techniques in which the implicit prices of the component characteristics of an asset are inferred from the observed sale price using regression analysis. All of these studies include as explanatory variables one or more locational factors, such as distance to the central business district, as proxies for the effect that location has on the utility of land. In this research, the explicit consideration of the location of real estate in terms of the geographic or Cartesian coordinates (spatial attributes) of observed sales is shown to be a potential substitute for such proxies, either wholly or in part. Such use of spatial attributes could improve the usefulness of the hedonic methodology while at the same time significantly reducing cost and eliminating sources of error.

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9

Chan, Siu-kuen. "Major factors contributing to rising residential property prices in Hong Kong". Hong Kong : University of Hong Kong, 1996. http://sunzi.lib.hku.hk/hkuto/record.jsp?B18033866.

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10

Yiu, Chung-yim. "The effects of age on housing prices in Hong Kong". Click to view the E-thesis via HKUTO, 2002. http://sunzi.lib.hku.hk/hkuto/record/B42576878.

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11

Cheung, Po-ching. "An Empirical study of the impact of newly consturcted [i.e. constructed] railway lines on nearby residental property prices in Hong Kong". Click to view the E-thesis via HKU Scholars Hub, 2004. http://lookup.lib.hku.hk/lookup/bib/B37927954.

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12

Chui, Ho-ting Liza. "An empirical study of the relationships between economic growth, real estate prices and real estate investments in Hong Kong". Click to view the E-thesis via HKU Scholars Hub, 2004. http://lookup.lib.hku.hk/lookup/bib/B37928624.

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13

Li, Chi-kwun, e 李志坤. "Speculation and property cycle". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1991. http://hub.hku.hk/bib/B31251249.

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14

Narayanamurthy, T. R. "Mortgage finance : its impact on private residential property prices in Hong Kong /". Thesis, Hong Kong : University of Hong Kong, 1995. http://sunzi.lib.hku.hk/hkuto/record.jsp?B25800632.

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15

Cheung, Yiu-ming Sammy, e 張耀明. "Quality of life: an identification of property servicing needs and assessment of property servicing value inHong Kong real estate market". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B42576945.

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16

Ma, Chi, e 馬芷. "Properties of real estate price indices". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B31240707.

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17

Chan, Siu-kuen, e 陳少娟. "Major factors contributing to rising residential property prices in Hong Kong". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1996. http://hub.hku.hk/bib/B31967887.

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18

Iqbal, Mohammad. "Changes in residential land prices : metropolitan Adelaide, 1970-84 /". Title page, table of contents and summary only, 1989. http://web4.library.adelaide.edu.au/theses/09ARM/09armi64.pdf.

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19

Sum, Kwok-chi, e 沈國智. "A study of supply and demand of residential property market". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B4500870X.

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20

Tam, Yin-bun Eric. "Influence of land supply on rising residential prices : including implication for urban design /". Hong Kong : University of Hong Kong, 1993. http://sunzi.lib.hku.hk/hkuto/record.jsp?B25801107.

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21

Eves, Alfred Christopher. "An analysis of rural land prices : 1975-1996 /". View thesis, 1998. http://library.uws.edu.au/adt-NUWS/public/adt-NUWS20050914.143042/index.html.

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22

Law, Kwok-wah Edward, e 羅國華. "Analysis of supply of residential properties in Hong Kong". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1994. http://hub.hku.hk/bib/B31266125.

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23

Chan, Wai-hong, e 陳煒康. "Forcasting Hong Kong residential property cycle with leading indicators". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B45009181.

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24

Hong, Keung, e 康強. "The effect of improvement in transport infrastructure on residential price gradient in Hong Kong". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B31969112.

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25

Lam, Chi-wa, e 林志華. "Major factors contributing to the changes in private residential property price in Hong Kong: review andforecast". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B43895104.

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26

Lam, Weng-i. Janiver, e 林穎怡. "An examination of efficiency of the Hong Kong private housing market". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1993. http://hub.hku.hk/bib/B42574304.

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27

Lee, Yiu-cheung, e 李耀祥. "Quatitative [sic] analysis of residential property value in Hong Kong". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1998. http://hub.hku.hk/bib/B3126900X.

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28

Eves, Alfred Christopher, of Western Sydney Hawkesbury University, College of Law and Business e of Construction Property and Planning School. "An analysis of rural land prices :1975-1996". THESIS_CLAB_CPP_Eves_A.xml, 1998. http://handle.uws.edu.au:8081/1959.7/767.

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Abstract (sommario):

The rural land market in Australia is a very complex property market. This complexity is not limited to the volatility of the returns in the rural land market, but also those factors that influence the change inland prices within specific rural property markets. Rural land returns – over the period 1975-1996, there has been higher than the returns achieved from residential and commercial real estate in respective rural areas: traditional farming areas have not provided the same level of returns as developing and marginal farming areas. Economic and financial factors and rural land prices – there is significant correlation between rural land price trends in adjoining areas with similar land use and level of farming development: as the distance between specific rural area increases the correlation between changes in land price decreases. Modelling rural land values – relationship between change in rural land prices and the change in economic factors is more significant in the developing and marginal cropping areas compared to the traditional cropping areas: there is a more significant association between rural land prices and rural economic factors when the economic factors are lagged, rather than contemporaneous. Rural property and valuation implications – rural land sales in one location are generally not an accurate measure of changing prices in another location: factors other than rural economic factors have a greater impact on rural land prices in areas which are closer settled or where alternate non agricultural land uses are available
Master of Commerce (Hons.)

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29

Cheung, Chi-keung Derek, e 張志強. "The dynamics of rental values and prices of Hong Kong property". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1998. http://hub.hku.hk/bib/B31268675.

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30

Li, Chun-wah, e 李振華. "Spatial autocorrelation and liquidity in Hong Kong's real estate market". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B47278006.

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Spatial autocorrelation is commonly found in the Hedonic Pricing model for real estate prices, but little attention has been paid to identify the causes behind. The primary objective of this research is to examine the causes of spatial autocorrelation in housing prices. Observed autocorrelation is often attributable to the omission of important location characteristics in the modelling process. Since it is practically impossible to exhaustively include all location characteristics, some variables may eventually be omitted, leaving spatially autocorrelated residuals in the Hedonic Pricing model. This thesis proposes a new source of spatial autocorrelation: real estate market liquidity. We hypothesize that liquidity affects the geographical boundary within which buyers and sellers search for price information. When the “immediate vicinity” of a property has few transactions, buyers and sellers may have to search for price information from more distant locations. Therefore, low liquidity in the vicinity of a property should strengthen the spatial autocorrelation of real estate prices. A Spatial - Liquidity Hedonic Pricing (SLHP) model is proposed to test the above hypothesis. The SLHP model generalizes traditional spatial autoregressive models by making the spatial process liquidity dependent. When applied to the apartment market in Hong Kong, the model is operationalized by defining “immediate vicinity” as the building where the subject unit locates. Furthermore, the SLHP model recognizes that past transactions may affect current transactions, but not vice versa, so the spatial weight matrix is simply lower triangular. Under this condition, we have shown that the Maximum Likelihood Estimation is equivalent to the Ordinary Least Squares Estimation. This greatly simplifies the estimation procedures and reduces the empirical analysis to a feasible scale. Based on 15 500 transactions of residential units in Taikooshing, Hong Kong from 1992 to 2006, we conclude that while positive spatial autocorrelation is present in housing prices, its magnitude decreases when liquidity, as measured by the past transaction volume in the immediate vicinity of a subject unit, is high. In addition, we found that current prices are spatially correlated with transactions occurred up to the last three months only, reflecting the relatively high information efficiency of Hong Kong’s residential market. All these results are generally robust across a variety of distance, liquidity, and time weight specifications. This study establishes liquidity as a determinant of spatial autocorrelation in real estate prices. This is a new finding contributing to the economic literature on liquidity effects and technical literature on spatial estimation. Our results not only reveal the spatially dependent price formation process in the real estate market, but also have practical applications on the hedonic modelling of real estate prices for mass valuation and index construction.
published_or_final_version
Real Estate and Construction
Doctoral
Doctor of Philosophy

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31

Hui, William. "Influence of Hong Kong investment on prices and design of houses in Vancouver". Hong Kong : University of Hong Kong, 1990. http://sunzi.lib.hku.hk/hkuto/record.jsp?B25796586.

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32

Nastansky, Andreas, e Hans Gerhard Strohe. "The impact of changes in asset prices on real economic activity : a cointegration analysis for Germany". Universität Potsdam, 2010. http://opus.kobv.de/ubp/volltexte/2010/4376/.

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This paper reviews theoretical and empirical evidence of asset price movements impact on the real economic activity. A key channel is the wealth effect on consumption. Fluctuations in stock prices and housing prices influence the households wealth and could have important impacts on households consumption. In addition, stock prices may affect corporate sector investments and property prices may affect building activity. Here, the method of cointegration is used to estimate the wealth effect and the investment effect in aggregate time series for Germany after the Reunification in 1990. Moreover, we discuss the role of asset prices in the monetary policy strategy of the ECB.

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33

Lam, Sze-nok Candy, e 林詩諾. "Property management and property value of high-rise private residential buildings in Hong Kong". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2003. http://hub.hku.hk/bib/B31969136.

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34

Tso, Cheuk-yiu Charmaine. "Accidental conservation the making of SoHo, a case study on how property prices have driven gentrification to be a mean of conserving post-war Tong Lau /". Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B42182943.

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35

Kgari, Emolemo Nkomeng. "The impact of a shopping centre on adjacent property prices: a Nelson Mandela Bay case study". Thesis, Nelson Mandela Metropolitan University, 2017. http://hdl.handle.net/10948/17636.

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A great deal of research has been carried out on residential property values and numerous factors have been identified as having an effect on residential property values. The physical characteristics of properties of properties are the primary factors that determine the market value of residential property. However, factors concerning location are also thought to influence the value of residential properties. These locational factors include, among others, accessibility to highways, airports, schools, parks and public transportation centres. This study examines the effect of another locational factor, namely proximity to a newly built shopping centre. Shopping centres have been increasing in numbers throughout South Africa over the past few decades. These shopping centres are usually situated in close proximity to residential properties. As such, shopping centres that are in close proximity to residential properties can influence property prices. This study makes use of the hedonic price model to assess the price impact of the newly constructed Baywest Mall on the residential properties in the western suburbs of Nelson Mandela, namely Sherwood, Rowallan Park and Kunune Park. On 21 March 2012, the construction of the Baywest Mall was officially announced. This announcement created an area of interest as to whether its construction and completion would have an impact on the prices of residential properties situated in close proximity to the mall. The study period for this study was from 2004 – 2015. This time period is thought to be sufficient to assess the effect of the Baywest Shopping Mall on the residential property prices before and after the announcement of the construction of the mall. As the study period ranged from 2004 – 2015 it was necessary to adjust the sales prices over the years to constant 2015 prices. As such, the ABSA house price index was used in order to eliminate any inflationary effects on the property values over the study period. The results of the study revealed that the newly built Baywest Mall has a statistically significant positive effect on properties in close proximity to the shopping mall. This result enhances the scientific understanding of the effect of commercial land uses, such as, shopping centres, on the value of adjacent residential properties.

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36

Chung, Po-lam. "A study of soaring housing prices in Hong Kong". Hong Kong : University of Hong Kong, 1996. http://sunzi.lib.hku.hk/hkuto/record.jsp?B18033878.

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37

Ting, Wai-ding Percy, e 丁惠定. "Property price is independent of the amount of land supply: a case study of Hong Kong". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1998. http://hub.hku.hk/bib/B31269278.

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38

李耀祥 e Yiu-cheung Lee. "Impact of railway on residential property value in Hong Kong". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1995. http://hub.hku.hk/bib/B31979981.

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39

Al-Marwani, Hamed Ahmed. "An approach to modeling and forecasting real estate residential property market". Thesis, Brunel University, 2014. http://bura.brunel.ac.uk/handle/2438/10005.

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This thesis aims to provide an approach to real estate residential modeling and forecasting covering property types’ correlation, time series attributes within a region or a city, and socio-economic attributes of preferred real estate locations. The thesis covers residential estate markets and concentrates on property types, while previous studies that have considered country wide house price indices. There is a gap identified in the literature in the need to study correlations between property types within a region or a city and whether they will provide diversification benefits for real estate investors such as risk reduction per unit of returns. The thesis concentrates on property type seasonality in addition to modeling time series attributes within a region or city instead of real estate index seasonality. This thesis the first to combine modern information systems techniques such as geographic information systems (GIS) with socio-economic factors to help understanding causal relationships that can be used to forecast real estate prices. The results show that it is more achievable to forecast real estate prices within a city than for the real estate market of the entire country. The GIS and socio-economic modeling results show that higher property prices are awarded to real estate with more green spaces, residents with higher disposable incomes, lower council tax bands, fewer tax benefits claimants, and better health services. Previous studies have examined real estate price indices at the macro level (the general, all real estate house price indices). There has not been a study that examines real estate price forecasts by property types within a city. The contribution of this thesis is its focus on time series analysis as well as causal modeling within a city with the objective of providing a better understanding of the dynamics of real estate price changes.

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40

Hung, Tsz-Tung, e 孔子東. "The impact of improved transport infrastructure on property values". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B42576179.

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41

Li, Ling-hin, e 李寧衍. "The privatisation of land use rights in China: an evaluation of land price behaviour in Shanghai's landmarket". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1995. http://hub.hku.hk/bib/B31234288.

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42

Choy, Hung-tat Lennon, e 蔡鴻達. "Pricing under information asymmetry: an analysis of the housing presale market from the new institutionaleconomics perspective". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B37908133.

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The Best PhD Thesis in the Faculties of Architecture, Arts, Business & Economics, Education, Law and Social Sciences (University of Hong Kong), Li Ka Shing Prize, 2006-2007.
published_or_final_version
abstract
Real Estate and Construction
Doctoral
Doctor of Philosophy

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43

Myrestam, Isak. "Does infrastructure pave the way for higher property demand? : A difference-in-differences analysis of the effect of the Bothnia Line on real estate prices in Västerbotten". Thesis, Uppsala universitet, Nationalekonomiska institutionen, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-415115.

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This study explores the concept of improved train infrastructure in Sweden and how it affects the attractiveness of cities. The research uses a difference-in-differences model to determine whether the construction of the Bothnia Line in northern Sweden has had an impact on real estate prices in the municipalities Nordmaling and Robertsfors between 2008-2016. By employing the hedonic price model, the study finds evidence that house-specific factors such total house size in square meters, location near water and size of backyard all play a role in determining the final purchase price of houses in the two municipalities. However, the findings of this study do not indicate that the launch or the subsequent investments on the Bothnia Line has had any measurable impact on the real estate prices in the region. This is in line with previous research on the project.

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44

姚松炎 e Chung-yim Yiu. "The effects of age on housing prices in Hong Kong". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B42576878.

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45

Stephenson, Robert Miller. "Quantifying the effect of green building certification on housing prices in metropolitan Atlanta". Thesis, Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/50137.

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Abstract (sommario):

The buildings sector consumes approximately 40% of energy in the United States, and presents a major opportunity for reducing society's energy consumption and environmental impact. Given the potential downside impacts of climate change and resource depletion, it is imperative that the construction industry deliver buildings that meet owner requirements while using less energy and natural resources. In response to this challenge, the construction industry has adopted voluntary green building programs that provide guidelines for construction projects wishing to reduce their environmental impact. Green building programs also present the opportunity for those pushing beyond the status quo to receive increased recognition and market visibility; however, certification under these programs is not without an added cost. The added cost of certification varies by project, but building owners and builders must be able to justify this added cost through increased market recognition and sales and leasing prices. Given the relatively low recognition of a price premium for green certified residential properties by the real estate appraisal community and financial institutions, a need exists to demonstrate the added market recognition of these homes. Through the development of a hedonic regression pricing model this study isolates the effects of green building certification on housing sales prices, in order to prove the hypothesis that a significant increase in sales price is associated with green certified housing.

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46

譚彥斌 e Yin-bun Eric Tam. "Influence of land supply on rising residential prices: including implication for urban design". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1993. http://hub.hku.hk/bib/B31979907.

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47

Cheung, Yuk-yi Alice, e 張玉儀. "Land supply and housing price of Hong Kong: implication for urban planning". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1996. http://hub.hku.hk/bib/B43893703.

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48

Hui, William, e 許嘉偉. "Influence of Hong Kong investment on prices and design of houses in Vancouver". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1990. http://hub.hku.hk/bib/B31979725.

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49

Myburgh, Craig. "Factors influencing the residential property cycle in South Africa". Thesis, Stellenbosch : Stellenbosch University, 2008. http://hdl.handle.net/10019.1/15053.

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Thesis (MBA)--Stellenbosch University, 2008.
ENGLISH ABSTRACT: Internationally, a number of studies on property cycles have been undertaken. In contrast very little academic research has been undertaken in South Africa. The importance of the subject is once again become evident given the recent global turbulence in both property and credit markets. The central hypothesis of this study is that there exists a residential property cycle in South Africa and that it can be identified and that furthermore there are indicators that can identify the various stages that the property market finds itself in and that these indicators can be used to forecast the property cycle. A number of potential drivers of the property cycle were identified and analysed. These drivers collectively propel the property cycle through its various cycle stages. Not one of the drivers in isolation has the ability to move the cycle; it is rather the correct combination of drivers at the right time that have the necessary impact to make the changes in property price levels. The study has identified the historical residential property cycle in South Africa and identified the primary drivers of the property cycle. It was found that Interest Rates, GOP, Population, Household Debt to Disposable Income ratio, Quantity of Building Plans Approved and Building Cost Escalation are all material drivers in defining the property cycle. A statistical analysis in the form of multiple regression was applied to the above variables and a statistical model was developed to forecast the property cycle. It was found that the model has significant explanatory powers when the goodness of fit was tested.
AFRIKAANSE OPSOMMING: Die sentraal onderstelling van hierdie studie is dat daar 'n residensiele eiendom kringloop in Suid-afrika bestaan en dat dit geidentifiseer kan wees en dat bowendien daar aanwysers wat die verskeie stadiums van die eiendom mark kan identifiseer vind en dat hierdie aanwysers gebruik kan word vir voorspelling van die eiendom kringloop. 'n Aantal potensiele drywers van die eiendom kringloop was geidentifiseer en gean ali seer. Hierdie drywers gesamentlik dryf die eiendom kringloop deur sy verskeie kringloop stadiums voort. Nie een van die drywers in isolasie het die vermoe om die kringloop te beweeg nie; dit is liewer die korrekte kombinasie van drywers op tyd wat die nodige impak het om die veranderinge in eiendom prys vlakke te maak. Die studie het die historiese residensiele eiendom kringloop in Suid-afrika geidentifiseer en die primere drywers van die eiendom kringloop. Dit was gevind dat Rentekoerse, GOP, Populasie, Huishouding Skuld tot Weggooibare Inkomste Verhouding, Hoeveelheid van Gebou Pia nne Goedgekeur en Gebou Kos Eskilasie is almal materiaal drywers in definieer van die eiendom kringloop. 'n Statisties analisering was aangewend aan die bo onkonstante en 'n statistiese skema was ontwikkel om voorspelling van die eiendom kringloop te bepaal. Dit was gevind dat die skema beduidende verduidelike kragte het wanneer die goedheid van pas getoets was.

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50

Haworth, Martin. "A study of the relationship between changes in housing values and variations in macroeconomic factors". University of South Africa, 2007. http://hdl.handle.net/10500/61.

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Abstract (sommario):

A Research Report presented to the Graduate School of Business Leadership University of South Africa. In partial fulfilment of the requirements for the MASTERS DEGREE IN BUSINESS LEADERSHIP, UNIVERSITY OF SOUTH AFRICA
The purpose of this research is to analyse the changes in housing values in Windhoek, Namibia over the past ten years and explore links in property value variation to macroeconomic changes during that period. The objectives of this research are twofold. Firstly this research compiles and assesses the movement of housing values over the past ten years. Secondly this research assesses if there is a causal relationship between changes in macroeconomic factors and housing values, and to define the nature of this relationship. The timing and magnitude of response by housing values to changes in macroeconomic factors are investigated. The primary data requirements for this study are a monthly relative value index of housing prices for the Windhoek area and macroeconomic factors. Macroeconomic data collected relates to macroeconomic conditions within Namibia that could have an effect on housing prices. This includes information on housing supply, GDP, population levels, inflation and interest rates. The results of this study explore the relationship between these factors and changes in housing prices as reflected by changes in the housing index. The most significant result of this study is the effect of housing availability on housing values. Changes in the total supply of housing as estimated by the number of houses built in a month affect changes in housing values after 5 and 6 months. A total of 20.5% of the change in housing values can be explained by the change in total housing supply. The effect of interest rates found by this study was lower than the theory and literature reviews would have led us to expect. The results of the Pearson correlation test for the relationship between percentage changes in interest rates and percentage changes in future housing values found that a relationship exists 8 months after the change in interest rates occurred. Interest rates were found to explain 5.5% of the change in housing values 8 months later. No significant effects were noted for changes in inflation. For population and income changes there was insufficient data to perform more than a high level look at possible interactions with the level of housing prices.
Graduate School of Business Leadership
MBL

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