Relevant bibliographies by topics / Analysis of the real estate market

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
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  6. Reports

Academic literature on the topic 'Analysis of the real estate market'

Author: Grafiati
Published: 4 June 2021
Last updated: 17 February 2022

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Journal articles on the topic "Analysis of the real estate market"

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Munoz Cabanes, Alberto, Alfonso Herrero de Egana, and Arturo Romero. "Real option analysis. The viability of real estate projects." Investment Management and Financial Innovations 17, no. 4 (December 8, 2020): 271–84. http://dx.doi.org/10.21511/imfi.17(4).2020.24.

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Traditional methods used for real estate project valuation, such as the static Net Present Value, have some limitations, as these methods do not consider the possibility of a change in the initial conditions of the project or during its development. On the other hand, the real options approach allows for flexibility in evaluating a real estate project, improving the decision-making process as it helps identify the optimal strategy and timing for the construction phases. The paper deals with evaluating an actual real estate project in La Rioja (Spain) using different options to estimate its final Net Present Value. The results show that the real estate project would be profitable under several scenarios, although the valuations can vary significantly among the different types of options. This is because some options add more value to the project than others, depending on their cost and the uncertainty they eliminate. In contrast, the results obtained using the traditional static method would have led a real estate developer to discard the project completely, as its Net Present Value would have been negative. This confirms that the introduction of flexibility in real estate developments creates additional value by allowing developers and investors to dynamically react to changes in the market, thus making better investment decisions and finding real estate investment opportunities that otherwise would not be considered at all.
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Ke, Qiulin, and Karen Sieracki. "Market maturity: China commercial real estate market." Journal of Property Investment & Finance 33, no. 1 (February 2, 2015): 4–18. http://dx.doi.org/10.1108/jpif-08-2013-0047.

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Purpose – The purpose of this paper is to explore the evolutionary path to market maturity that China property market has taken over the last few decades. The focus is on the commercial real estate markets in Beijing and Shanghai. It will help international investors understand the market environment, risk and market activity process. Design/methodology/approach – In this research, the authors apply the market maturity framework and its key determinants based on previous work undertaken by Keogh and D’Arcy (1994) and Chin et al. (2006) for the analysis of Chinese commercial property market. Particular focus is on Beijing and Shanghai. The questionnaire is designed to obtain fair and objective views from international property consultancy firms active in Beijing and Shanghai markets. There are not many of these international property consultancies. The reason why this type of business was selected was to insure that the business had an understanding of China’s place in the global commercial real estate market as this market matures from its emerging market status. Findings – The findings reveal that the respondents felt the commercial property markets in Shanghai and Beijing were now moderately mature. However, issues such as poorer level of standard market information, development instability, low transparency of the legal system, high taxes and high government invention still existed in China’s commercial property market, therefore hindering its progress towards greater market maturity. Research limitations/implications – The small same size of the survey is the major limitation of the research. Practical implications – International investors and analysts can benefit from the research findings through a better understanding of the behaviour and trends in this unique market which will be reflected in their decision-making process. Originality/value – An explorative approach was used due to the lack of data to examine the perception of China’s commercial property market’s evolution and maturity. The findings can then be placed in the context of other Southeast Asian cities. The evolutionary process of China’s property market is rarely examined in previous studies of China property market due to the lack of data and transparency.
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SHIMIZU, Chihiro. "Data Resources in Real Estate Market Analysis." Japanese Journal of Real Estate Sciences 33, no. 4 (March 27, 2020): 58. http://dx.doi.org/10.5736/jares.33.4_58.

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Lux, Nicole, and Alex Moss. "Liquidity in global real estate securities markets." Journal of Property Investment & Finance 34, no. 4 (July 4, 2016): 321–46. http://dx.doi.org/10.1108/jpif-11-2015-0078.

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Purpose – The purpose of this paper is to test the relationship between liquidity in listed real estate markets, company size and geography during different market cycles, specifically pre-crisis (2002-2006) and post-crisis (2010-2014). Further, the study analyses the impact of stock liquidity on stock performance. In a previous study the authors examined the impact of liquidity on the valuation of European real estate shares. The result showed that there is a strong relationship between liquidity, valuation and market capitalisation post the Global Financial Crisis. Design/methodology/approach – The paper studies the linkages between regional market liquidity and company size for 60 listed real estate companies globally and determines the key drivers of company stock market liquidity pre- and post-crisis as well as the impact on stock performance. Analysis of variance is used to test cross-sectional independence in market liquidity combined with the Tukey’s post hoc test. The selected test indicators of liquidity to capture market depth and market tightness are daily stock turnover as percentage of market capitalisation and daily bid-ask spreads. Findings – Findings confirm previous studies that market liquidity factors are correlated globally over time indicating markets interdependence. However, sample groups by company size and geography form independent samples with different sample means, thus specific liquidity levels in each market may be different. First, stock turnover levels have not recovered post-crisis to pre-crisis levels in the majority of markets while spreads have continued moving downward to nearly insignificant levels in line with the rest of the equity market. Second, with regards to stock performance, the European bias previously detected is not apparent in the USA, and there is no evidence of the small cap vs large cap effect of small companies achieving superior returns, although smaller companies have outperformed in Europe and Asia in each of the last three years (2012-2014). Practical implications – The key implication is that although spread levels for smaller companies are higher, implying a slight risk premium when investing in small companies, this did not manifest into consistent superior stock market returns in the periods studied. In a mature market such as the USA or UK, liquidity levels in terms of stock turnover are higher and spreads are lower thus reducing trading costs, making them more attractive for investors. Originality/value – This research brings together previous analysis on stock market liquidity and stock performance on a global market level. It further tests the dependence of market liquidity on two key indicators, namely, geography and company size and analyses market changes with respect to liquidity pre- and post-crisis.
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Chernyshova, Maria, Arina Malenkaya, and Tatyana Mezhuyeva. "ANALYSIS OF PRICING FACTORS IN REAL ESTATE MARKET." Interexpo GEO-Siberia 6, no. 2 (2019): 79–85. http://dx.doi.org/10.33764/2618-981x-2019-6-2-79-85.

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In the real estate market price depends on supply and demand is formed under the influence of social, economic and physical factors. The article presents the results of the analysis of pricing factors in the real estate market, the forecast of real estate prices in 2019.
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Figurska, Marta, and Radoslaw Wisniewski. "Fundamental Analysis – Possiblity of Application on the Real Estate Market." Real Estate Management and Valuation 24, no. 4 (December 1, 2016): 35–46. http://dx.doi.org/10.1515/remav-2016-0028.

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Abstract The most common method supporting investing on the capital market or making decisions on the real estate market is technical analysis. This article, however, focuses on the less popular fundamental analysis, the importance of which is increasing on internationals markets, especially fully-developed ones. Fundamental analysis is used for long-term predictions of values of future phenomena, based on historical data and any factors likely to affect the level of supply and demand. The final result of its use is an appraisal the true value of the subject of valuation, or so-called fundamental (intrinsic) value. Using this method to analyze, diagnose and forecast economic phenomena, as well as become familiar with the market in terms of its fundamentals, positively influences the process of taking investment measures and leads to a better understanding of the real estate market. The aim of the following study is to describe the possibility of applying fundamental analysis on the real estate market, based on the principles existing on capital markets. This article serves as an introduction to the subject-matter as well as the beginning of series of publications dedicated to different aspects of conducting fundamental analysis in the context of the real estate market.
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Hin/David Ho, Kim, and Kwame Addae-Dapaah. "Real estate market cyclical dynamics." International Journal of Managerial Finance 10, no. 2 (April 1, 2014): 241–62. http://dx.doi.org/10.1108/ijmf-10-2013-0108.

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Purpose – The purpose of this paper is to help us understand the real estate cycle and offers an analysis using a vector auto regression (VAR) model. The authors study the key international cities of Hong Kong, Kuala Lumpur and Singapore. The authors find four key outcomes. One, the real estate cycle is generally different from the underlying business cycle in local markets for the cities studies. Two, the real estate cycle is more exaggerated in the construction and development areas than in rents and vacancies. Three, the vacancy cycle tends to lead the rental cycle. And four, new construction completions tend to peak when vacancy is also peaking. The authors believe that future research should try to help understand the linkages that drive these outcomes. For example, are rigidities in the local permit and construction markets responsible for the link between construction peaks and vacancy peaks? Design/methodology/approach – Real estate market cyclical dynamics and its estimation via VAR model offers an insightful set of practical and empirical models. It affirms a comprehensive theoretical underpinning for analysing the prime office and residential sectors of the capitol cities of Kuala Lumpur, Singapore and Hong Kong in the fast developing Asia region. Its unrestricted form also provides an effective and insightful way of modelling real estate market cyclical dynamics utilising only real estate market indicators, furnished by real estate market data providers. Findings – The office rental VAR model for Singapore (SOR), KL (KOR) and HK (HOR) show good fits. In the HOR model, rents and vacancies are negatively signed and significant for certain lagged relationships with other variables and with rents themselves. The office CV VAR model for Singapore (SOCV), KL (KOCV) and HK (HOCV) show good fits. In the HOCV model, capital values (CVs) and initial yields are negatively signed and significant for certain lagged relationships with other variables and with CVs themselves. Impulse response functions specified for seven years to mirror a medium-term real estate market cycle “die out” to zero for the stationary VAR models that are estimated for the endogenous variables. The accumulated responses asymptote to some non-zero constant. Practical implications – The VAR model offers a complete and meaningful dynamic system of solely real estate variables for international real estate investors and policy makers in decision making. Its unrestricted form offers an effective and insightful way of modelling real estate market cyclical dynamics utilising only real estate market indicators, which can be reliably provided by a dedicated real estate information and consultancy provider of international standing. Originality/value – The theoretical model offers a complete dynamic model system of the real estate space market, comprising a unique system of six linked equations that denote the relationship among supply, demand, construction, vacancy and rent over time, inclusive of price response slopes and lags. The VAR model enables the investigation of the effect of the lagged values of all the variables concerned. It also enables the explicit and rigorous quantitative forecasts of say rents and CVs when the rest of the variable can be forecasted beforehand.
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Zemlyanskiy, O. A. "Analysis of the real estate market for business activities." Vestnik Universiteta, no. 5 (July 6, 2021): 60–68. http://dx.doi.org/10.26425/1816-4277-2021-5-60-68.

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Effective business activities conducting in the real estate market is impossible without an objective analysis of the real estate market, its individual segments, comparing the possibilities and efficiency of doing business in different market segments. Based on the generalization of various methods, the author proposes an analysis of the real estate market to determine the possibility of effective business activity, including setting goals for the analysis of the real estate market and its individual segments, determining the subject, conditions and opportunities for entrepreneurial activity in the real estate market, analysing the market in accordance with the factors of market analysis, its characteristics and identification of the most attractive market segments and areas of activity in order to achieve these goals. The analysis of the real estate market determines the opportunities, conditions and prospects of presence on the market for various companies and types of business related to the creation and sale of real estate objects, as well as credit and financial, legal, insurance, valuation, commercial and other types of business.
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Ruscheinsky, Jessica Roxanne, Marcel Lang, and Wolfgang Schäfers. "Real estate media sentiment through textual analysis." Journal of Property Investment & Finance 36, no. 5 (August 6, 2018): 410–28. http://dx.doi.org/10.1108/jpif-07-2017-0050.

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Purpose The purpose of this paper is to determine systematically the broader relationship between news media sentiment, extracted through textual analysis of articles published by leading US newspapers, and the securitized real estate market. Design/methodology/approach The methodology is divided into two stages. First, roughly 125,000 US newspaper article headlines from Bloomberg, The Financial Times, Forbes and The Wall Street Journal are investigated with a dictionary-based approach, and different measures of sentiment are created. Second, a vector autoregressive framework is used to analyse the relationship between media-expressed sentiment and REIT market movements over the period 2005–2015. Findings The empirical results provide significant evidence for a leading relationship between media sentiment and future REIT market movements. Furthermore, applying the dictionary-based approach for textual analysis, the results exhibit that a domain-specific dictionary is superior to a general dictionary. In addition, better results are achieved by a sentiment measure incorporating both positive and negative sentiment, rather than just one polarity. Practical implications In connection with fundamentals of the REIT market, these findings can be utilised to further improve the understanding of securitized real estate market movements and investment decisions. Furthermore, this paper highlights the importance of paying attention to new media and digitalization. The results are robust for different REIT sectors and when conventional control variables are considered. Originality/value This paper demonstrates for the first time, that textual analysis is able to capture media sentiment from news relevant to the US securitized real estate market. Furthermore, the broad collection of newspaper articles from four different sources is unique.
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Kulczycki, Marek, and Marcin Ligas. "Qualitative similarity coefficients in real estate market analysis." Geomatics and Environmental Engineering 8, no. 1 (2014): 33. http://dx.doi.org/10.7494/geom.2014.8.1.33.

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Dissertations / Theses on the topic "Analysis of the real estate market"

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Melnikova, Yulia. "Spanish Real Estate Market Analysis." Master's thesis, Česká zemědělská univerzita v Praze, 2016. http://www.nusl.cz/ntk/nusl-259902.

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At the beginning of 2000-ies the real estate market of residential property in Spain considered to be one the most popular and fast-growing real estate market in Europe, which attracted a great number of investment into the country and thus contributed greatly to the development of the national economy of Spain. However, because of the economic crisis in the country, residential real estate market collapsed significantly. At the present time, the Spanish real estate market of residential property market is recovering from the recession to the pre-crisis level as the prices for residential real estate property has started increasing due to the high demand for it. All this factors positively affect the national economy of Spain. In order to obtain the major aim of the thesis, it is crucial to conduct a retrospective overview of the residential real estate market of Spain before the crisis and provide a bene-ficial real estate market analysis of the current situation on the market of residential proper-ty.
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Kim, Kyungmin. "An econometric analysis and forecasting of Seoul office market." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/68184.

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Thesis (S.M. in Real Estate Development)--Massachusetts Institute of Technology, Program in Real Estate Development in Conjunction with the Center for Real Estate, 2011.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (p. 67-68).
This study examines and forecasts the Seoul office market, which is going to face a big supply in the next few years. After reviewing several previous studies on the Dynamic model and the Seoul Office market, this thesis applies two structural econometric models to forecast trends of rent, vacancy, and new supply of office space of Seoul Office Market, which is going to face a big supply in the next a few years. The first model has rent and supply equations. The second model is a full model that consists of three simultaneous equations; rent, supply, and absorption equations Empirically, the simple model was tested against time-series data of the Seoul office market since 1975. Rent equation is explained by current office stock, current GDP and past rent and past GDP, both lagging one year. The supply equation explains new office supply by one year lagging completion, five and six years lagging rent and growth of GDP in two previous years. The second model is a full model that consists of three simultaneous equations: rent, supply, and absorption equations based on time-series data since 1991. In this model, rent is impacted by current vacancy rate, past rent and vacancy rate both lagging one year. The supply equation is explained by completion one year ago, five years lagging rent, and past vacancy rate lagging four years, and the absorption equation is expressed by GDP per employment, current GDP, one year ago rent, and occupied stocks. Using estimated models with exogenous supplies for the next six years, ten-year contingent forecasts are made based on three scenarios having different estimated GDP growths. The forecasts for both models demonstrate that untypical supply for next six years will impact office rent negatively in all of the scenarios. In short, the Seoul office market, strongly affected by big supply over demand until 2016, will tend to be become soft or tight during same period before supply goes down and rent reacts. Since late 2010s, however, the market will fully recover from oversupply.
by Kyungmin Kim.
S.M.in Real Estate Development
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Nordström, Louise, and Sofie Karlssson. "The Swedish Real Estate Market and Macroeconomic Factors." Thesis, Jönköping University, JIBS, Economics, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-1201.

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The real estate market has been of great interest since the rise in home foreclosures in

US, which started in the late 2006. The purpose of this thesis is to examine a possible

relationship between the factors presented in DiPasquale and Wheaton’s (1996) model

which explains the market linkages between the property market and asset market, and

the Swedish real estate companies listed on the Swedish stock market OMX. The real

estate stock market is, divided in to groups of 3, which represented the dependent

variable. The repo rate, CPI, expected inflation, macro index, disposable income, GDP

and a real estate price index are the explanatory variables. Stockholm Stock Market All-

Share Index (OMXSPI) is also included as a possible explanatory variable.

The main findings in most of the estimations for the groups and years, is that the

OMXSPI is of significance at the 10 percent level. The other variables did not show any

significant result based on the 10 percent significance level,

According to the results it seems like the volatility has increased over time in the real

estate stock market with respect to the OMXSPI. That is; the risk has increased

significantly from the period 1996-1999 to the later periods.

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Agboola, Alirat Olayinka. "The commercial real estate investment market in Lagos, Nigeria : an institutional economics analysis." Thesis, University of Aberdeen, 2015. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=226795.

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Globalization of real estate investments have revealed an increased desire by investors to operate outside their domestic markets. The removal of barriers to international capital movement and liberalisation of financial markets have made cross-border property investments an attractive alternative for investors, as they take advantage of its diversification potential thus spreading their risks. However, international real estate investment entails venturing into the unknown, where there are unfamiliar political and economic environments. Each property market has its rules, business culture and networks, while experience in one market may not translate well to another. This is because the institutions of a market impinge on market outcomes and behaviour by generating transaction costs which weigh against the returns on investment assets, while these costs may affect domestic versus foreign investors differently. Also, the peculiar nature of real estate, for example heterogeneity and asymmetric information makes it a particularly illiquid asset class. The time element of illiquidity represents an important risk to investors because it exposes them to an extended period of uncertainty. Illiquidity in turn makes real estate an asset specific investment as it calls for the input of intermediaries who utilize their extensive knowledge of the market to facilitate transactions. This makes intermediation an essential requirement for successful investment, as intermediaries introduce asset specific knowledge to the investor to promote liquidity and attenuate risk. However, intermediation imposes an additional transaction cost on investors as it is the price paid for immediacy of the transaction. It is therefore argued that the institutional environment of a real estate market not only underpins market structures and behaviour, but also the inherent characteristic of the asset which calls for the need for intermediation further informs the structures of the market through which commercial real estate is traded. Therefore, an understanding of the wider institutional environment of a real estate market is not only important, but also an understanding of the intermediation structure and associated costs which informs market processes is expedient for successful international real estate investment. This study investigates the institutions through which the commercial real estate investment market in Lagos, Nigeria operates. It offers a new and holistic framework for understanding how the institutions of a market influence its operation in terms of the associated transaction costs, particularly in the context of an emerging real estate market. The study adopts a combined Northian and Williamsonian Transaction Cost Economics theoretical framework and employs a qualitative research approach to achieve the objectives of the study. This involves semi-structured interviews with key market players and a process of thematic analyses of the interviews. Findings show that the Land Use Act of 1978 and the indigenous landholding system form the major formal and informal institutions governing the operation of the market respectively. Findings further reveal that transaction costs associated with the formal institution of the market at 15% of assessed property value and additional intermediation cost of between 2.5% and 5% of the property price, are high when compared to the developed market of the UK, for example. Also, while the formal institutions of the market do not affect foreign and domestic investors differently, findings show that the informal institutions and specifically the associated transaction costs do. An implication of the poor enforcement of the formal rule of the market is the increasing informality in the market and consequent difficulty of securing debt financing and high interest rate due to poor evidence of title. The study recommends a review of the key formal institution of the market to remove its ambiguities and eliminate the omo-onile phenomenon which is a negative transformation of the indigenous landholding system, and of which the perpetrators behave opportunistically, exploiting loopholes in poorly written formal law, thus generating transaction costs embedded in informal institutions of land rights.
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Watkins, Steven C. Jr (Steven Charles). "Frontier market analysis : a case study of Iraq's real estate industry." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/62056.

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Thesis (S.M. in Real Estate Development)--Massachusetts Institute of Technology, Program in Real Estate Development in Conjunction with the Center for Real Estate , 2010.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 79-81).
Success in frontier markets could mean high returns for real estate developers and investors. In order to succeed, companies must determine how to provide their products or services in an environment that may not necessarily adhere to familiar institutional, legal or even ethical norms. Strategists may never feel informed enough to make educated decisions because there is not enough data to populate sophisticated financial models. However investors and multinationals have a growing desire to gain exposure to underdeveloped markets. This leaves managers with the challenge of evaluating frontier investment markets and navigating risky foreign business environments. This thesis attempts to answer the following question: to what extent can a researcher establish a viable framework to strategically plan for and operate in frontier market built environments? To answer this question, this thesis shall first address the nature of "frontier markets," then proposes a framework for entrepreneurs or multinationals intending to penetrate a frontier market's built environment through either direct investing or real estate development. The framework is a qualitative model, a compilation of analysis tools used by scholars, economists, political scientists, and investors working with and in emerging markets. The framework assesses markets on a broader, strategic echelon as well as an operational business management level. Lastly, we populate the framework with current information from Iraq, one of the most challenging and interesting frontier markets in the world today. The conclusion assesses the utility of the framework by highlighting information voids as well as potential business opportunities. The conclusion articulates that frontier market analysis will never be as valid as analysis of the developed markets because frontier markets are inefficient and information is difficult to ascertain, thus satisfying the definition of "frontier market". The analysis framework will not yield empirical findings like accurate forecasts of NPV, PV, IRR, etc. It will return, qualitatively, institutional voids in potential business opportunities. Keywords: frontier markets, Iraq, real estate.
by Steven C. Watkins, Jr.
S.M.in Real Estate Development
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Gao, Ya S. M. Massachusetts Institute of Technology. "Chinese outbound investments in the U.S. real estate market : analysis and perspectives." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/106757.

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Thesis: S.M. in Real Estate Development, Massachusetts Institute of Technology, Program in Real Estate Development in conjunction with the Center for Real Estate, 2016.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 57-58).
Chinese outbound investments have expanded rapidly in recent years and drawn wide attention in the U.S. real estate market. Unlike previous waves of Chinese investment in the past two decades, this batch of capital inflow shows various types of institutional players investing in almost all property types across the U.S. through diversified and innovative deal structures, making headlines and striking record-price deals every few weeks. Chinese investors are also driven by different incentives besides seeking for yield and return, which is partially why the U.S. real estate space is seeing interesting dynamics in the deals and markets where these investors are active in. I would like to take a deep-dive study into these outbound investment initiatives and systematically explore the key opportunities, trends and issues. For this essay, I would like to focus on the institutional side of Chinese investments, namely investments made by capital management platforms or corporates, rather than personal and family office investments into ultra-luxury houses or retail investments through EB-5 programs. As there are limited public data points recorded for executed acquisitions available to assist deep-level exploration, partially due to the relatively small transaction volume in fixed asset space, we decided to implement interview and case study approach in order to obtain front-line view of the potential trends and opportunities. This essay starts with a general overview of China's macro fundamentals and Chinese outbound investments across all destination countries and industry sectors, then analyzes the various aspects of Chinese capital in the U.S. real estate market, including size, structures, geographic breakdown, property type breakdown and key investor types supported by case studies of each investor type. The detailed transaction analysis and investment incentive analysis are also arranged in the section of investor types, since different investors are showing different characteristics. Then I addressed the key issues and trends in this space, including tax issues, granularity, real estate technology investments, macro political trends, the controversial aggressiveness and opportunities for managed accounts business and new players in the field, in order to provide forward-looking perspectives.
by Ya Gao.
S.M. in Real Estate Development
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Herath, Shanaka, and Gunther Maier. "Informational efficiency of the real estate market: A meta-analysis." Hanyang Economic Research Institute, 2015. http://dx.doi.org/10.17256/jer.2015.20.2.001.

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The growing empirical literature testing informational efficiency of real estate markets uses data from various contexts and at different levels of aggregation. The results of these studies are mixed. We use a distinctive meta-analysis to examine whether some of these study characteristics and contexts lead to a significantly higher chance for identification of an efficient real estate market. The results generated through meta-regression suggest that use of stock market data and individual level data, rather than aggregate data, significantly improves the probability of a study concluding efficiency. Additionally, the findings neither provide support for the suspicion that the view of market efficiency has significantly changed over the years nor do they indicate a publication bias resulting from such a view. The statistical insignificance of other study characteristics suggests that the outcome concerning efficiency is a context-specific random manifestation for the most part. (authors' abstract)
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Ng, How-man Helen. "An analysis of the Hong Kong residential property market with reference to the government's housing policy /." Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B19908891.

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Tse, Yin-ching Raymond, and 謝賢程. "A theoretical analysis of the market of residential real estate: with application to Hong Kong." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1990. http://hub.hku.hk/bib/B31976402.

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Waisnor, Matthew E. (Matthew Edward). "An econometric analysis and forecast of the Central London Office Market : single model versus aggregate submarket models." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/84167.

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Thesis (S.M. in Real Estate Development)--Massachusetts Institute of Technology, Program in Real Estate Development in Conjunction with the Center for Real Estate, 2013.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 81-82).
This paper examines and projects fundamental characteristics of the London Office rental market which is facing supply and demand issues in upcoming years despite being considered one of the few safe haven places for real estate investors during the recent worldwide financial uncertainty. The paper divides the Central London market into four submarkets: Docklands, Midtown, City, and West End. The key issue the paper will examine, aside from projecting future market fundamentals for a 10 year period, is whether on an econometric analysis level it is better statistically to analyze the market utilizing one singular model or to model each submarket separately then sum the outputs. First, the paper will discuss the history and development of the economic model, then discuss what papers have analyzed the London office market utilizing econometric models, and finally what previous studies have examined submarkets utilizing econometric models. Next, the paper will analyze what's occurred from 1986-2012 and try to offer some explanation of why the markets have behaved the way they have on a submarket and aggregate level. Next, the paper will present the model utilized to project the conditions for 10 years and examine back tests for the previous five years (2008-2012) to examine how well the model would have predicted the actual events of the time period. This study derives three main econometric equations for each submarket and Central London as a whole. The rental equation is explained by a lag of one year of rent and the current quarter's vacancy. The demand equation is explained by a 1 year lag in occupied stock, the current level of government service employment, the current level of fire, insurance, and real estate employment, and a four year lagged vacancy. The supply equation is explained by a 1 quarter lag in yield, a 1 year lag in yield, the current bond rate, the current real rental rate, a 1 quarter lag in real rental rate, and the spread between 10 year government bonds and corporate bond rates. The model is utilized both on each submarket and on the Central London market as a whole. Finally, the paper examines the differences in aggregating the submarkets versus modeling Central London in one model. This is done by comparing the models outputs for the previous 5 year back test and also for the 10 year projections.
by Matthew E. Waisnor.
S.M.in Real Estate Development
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Books on the topic "Analysis of the real estate market"

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Mourouzi-Sivitanidou, Rena, and Petros Sivitanides. Market Analysis for Real Estate. Edited by Petros Sivitanides. First Edition. | New York: Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.1201/9780429279409.

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Mourouzi-Sivitanidou, Rena, and Petros Sivitanides. Market Analysis for Real Estate. Edited by Petros Sivitanides. First Edition. | New York: Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.4324/9780429279409.

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Thomsett, Michael C. Real Estate Market Valuation and Analysis. New York: John Wiley & Sons, Ltd., 2006.

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Handbook for real estate market analysis. Englewood Cliffs, N.J: Prentice-Hall, 1987.

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Leishman, Chris. Real Estate Market Research and Analysis. London: Macmillan Education UK, 2003. http://dx.doi.org/10.1007/978-1-137-11281-1.

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Carn, Neil G. Real estate market analysis: Techniques and applications. Englewood Cliffs, N.J: Prentice-Hall, 1988.

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V, Grissom Terry, and Pearson Thomas D, eds. Market analysis for valuation appraisals. Chicago, Ill: Appraisal Institute, 1994.

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Adrienne, Schmitz, Schmitz Adrienne, and Urban Land Institute, eds. Real estate market analysis: Methods and case studies. 2nd ed. Washington, D.C: Urban Land Institute, 2009.

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Brett, Deborah L. Real estate market analysis: Methods and case studies. 2nd ed. Washington, D.C: Urban Land Institute, 2009.

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Canada Mortgage and Housing Corporation. Ontario housing market 1987 - 1988: Forecast and analysis. [Toronto ?]: CMHC, 1988.

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Book chapters on the topic "Analysis of the real estate market"

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Mourouzi-Sivitanidou, Rena, and Petros Sivitanides. "Real estate economics." In Market Analysis for Real Estate, 19–52. First Edition. | New York: Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.4324/9780429279409-3.

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Mourouzi-Sivitanidou, Rena, and Petros Sivitanides. "Real estate economics." In Market Analysis for Real Estate, 19–52. First Edition. | New York: Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.1201/9780429279409-3.

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Mourouzi-Sivitanidou, Rena, and Petros Sivitanides. "Retail markets and retail market studies." In Market Analysis for Real Estate, 243–61. First Edition. | New York: Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.4324/9780429279409-15.

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Mourouzi-Sivitanidou, Rena, and Petros Sivitanides. "Retail markets and retail market studies." In Market Analysis for Real Estate, 243–61. First Edition. | New York: Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.1201/9780429279409-15.

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Mourouzi-Sivitanidou, Rena, and Petros Sivitanides. "Office market analysis." In Market Analysis for Real Estate, 329–58. First Edition. | New York: Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.4324/9780429279409-20.

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Mourouzi-Sivitanidou, Rena, and Petros Sivitanides. "Office market analysis." In Market Analysis for Real Estate, 380–90. First Edition. | New York: Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.4324/9780429279409-22.

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Mourouzi-Sivitanidou, Rena, and Petros Sivitanides. "Office market analysis." In Market Analysis for Real Estate, 329–58. First Edition. | New York: Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.1201/9780429279409-20.

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Mourouzi-Sivitanidou, Rena, and Petros Sivitanides. "Office market analysis." In Market Analysis for Real Estate, 380–90. First Edition. | New York: Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.1201/9780429279409-22.

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Mourouzi-Sivitanidou, Rena, and Petros Sivitanides. "Residential real estate markets." In Market Analysis for Real Estate, 97–117. First Edition. | New York: Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.4324/9780429279409-8.

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Mourouzi-Sivitanidou, Rena, and Petros Sivitanides. "Residential real estate markets." In Market Analysis for Real Estate, 97–117. First Edition. | New York: Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.1201/9780429279409-8.

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Conference papers on the topic "Analysis of the real estate market"

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"Market Oriented Planning: A Behavioural Analysis." In 2005 European Real Estate Society conference in association with the International Real Estate Society: ERES Conference 2005. ERES, 2005. http://dx.doi.org/10.15396/eres2005_358.

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Sheng, Jia, Ying Zhou, and Shuqun Li. "Analysis of Real Estate Project Market Localization." In 2nd International Conference on Education, Management and Social Science (ICEMSS 2014). Paris, France: Atlantis Press, 2014. http://dx.doi.org/10.2991/icemss-14.2014.18.

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Kabaivanov, Stanimir, and Veneta Markovska. "Artificial intelligence in real estate market analysis." In THERMOPHYSICAL BASIS OF ENERGY TECHNOLOGIES (TBET 2020). AIP Publishing, 2021. http://dx.doi.org/10.1063/5.0041806.

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Kanutin, Andrew. "Commercial property market analysis: an ECB perspective." In 22nd Annual European Real Estate Society Conference. European Real Estate Society, 2015. http://dx.doi.org/10.15396/eres2015-ind_100.

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Ekemode, B. "Openness and Attractiveness of Real Estate Markets in Emerging Economies: Empirical Analysis of the Nigerian Real Estate Market." In 18th African Real Estate Society Conference. African Real Estate Society, 2018. http://dx.doi.org/10.15396/afres2018_127.

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Banyte, Jurgita, and Vida Maliene. "A comparative analysis of office property market dynamics." In 26th Annual European Real Estate Society Conference. European Real Estate Society, 2019. http://dx.doi.org/10.15396/eres2019_98.

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"A Panel Analysis of European Office Market Dynamics." In 2005 European Real Estate Society conference in association with the International Real Estate Society: ERES Conference 2005. ERES, 2005. http://dx.doi.org/10.15396/eres2005_256.

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"Market Oriented Planning: A Behavioral Analysis." In 10th European Real Estate Society Conference: ERES Conference 2003. ERES, 2003. http://dx.doi.org/10.15396/eres2003_303.

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White, Michael, Karen Sieracki, and Qiulin Ke. "A Spatial Analysis of the Central London Office Market." In 24th Annual European Real Estate Society Conference. European Real Estate Society, 2017. http://dx.doi.org/10.15396/eres2017_273.

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Hahn, Jonas. "HOTEL PROPERTIES IN ANGOLA – ANALYSIS OF MARKET CHARACTERISTICS AND SUSTAINABLE COMPETITIVENESS." In 16th African Real Estate Society Conference. African Real Estate Society, 2016. http://dx.doi.org/10.15396/afres2016_119.

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Reports on the topic "Analysis of the real estate market"

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Nelson, Arthur, Robert Hibberd, and Kristina Currans. Transit Impacts on Jobs, People and Real Estate. Transportation Research and Education Center (TREC), 2021. http://dx.doi.org/10.15760/trec.258.

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This report is comprised of five substantive elements. The first is crafting a scientifically sound framework for identifying landscapes within the metropolitan areas we studied. The second is applying those Place Typologies and spatial analysis to economic and demographic change for the transit system in each metropolitan area. The third is analyzing how real estate markets respond to transit system proximity with special reference to the Place Typologies. Fourth, this is followed by specialized studies into how urban form and society are shaped by transit systems. The fifth is providing an overall perspective of our research as well as a framework for unlocking the potential to leverage economic benefits of transit to advance social well-being.
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Liu, Chang, and Wei Xiong. China's Real Estate Market. Cambridge, MA: National Bureau of Economic Research, November 2018. http://dx.doi.org/10.3386/w25297.

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Grenadier, Steven. An Equilibrium Analysis of Real Estate. Cambridge, MA: National Bureau of Economic Research, February 2003. http://dx.doi.org/10.3386/w9475.

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Genesove, David, and Christopher Mayer. Equity and Time to Sale in the Real Estate Market. Cambridge, MA: National Bureau of Economic Research, September 1994. http://dx.doi.org/10.3386/w4861.

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Kopczuk, Wojciech, and David Munroe. Mansion Tax: The Effect of Transfer Taxes on the Residential Real Estate Market. Cambridge, MA: National Bureau of Economic Research, May 2014. http://dx.doi.org/10.3386/w20084.

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Agarwal, Sumit, Itzhak Ben-David, and Vincent Yao. Collateral Valuation and Borrower Financial Constraints: Evidence from the Residential Real Estate Market. Cambridge, MA: National Bureau of Economic Research, October 2013. http://dx.doi.org/10.3386/w19606.

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Levitt, Steven, and Chad Syverson. Market Distortions when Agents are Better Informed: The Value of Information in Real Estate Transactions. Cambridge, MA: National Bureau of Economic Research, January 2005. http://dx.doi.org/10.3386/w11053.

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Hoen, Ben, Joseph Rand, and Salma Elmallah. Commercial PV Property Characterization: An Analysis of Solar Deployment Trends in Commercial Real Estate. Office of Scientific and Technical Information (OSTI), September 2019. http://dx.doi.org/10.2172/1567171.

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Hendershott, Patric. Rental Adjustment & Valuation of Real Estate in Overbuilt Markets: Fundamental vs. Reported Office Market Values in Sydney Australia. Cambridge, MA: National Bureau of Economic Research, June 1994. http://dx.doi.org/10.3386/w4775.

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Dettling, Lisa, and Melissa Schettini Kearney. House Prices and Birth Rates: The Impact of the Real Estate Market on the Decision to Have a Baby. Cambridge, MA: National Bureau of Economic Research, October 2011. http://dx.doi.org/10.3386/w17485.

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