Understanding Real Estate Markets and Submarkets

2002 ◽  
Author(s):  
Grant Ian Thrall
Keyword(s):  
Land Use ◽  
Real Estate ◽  
Metropolitan Area ◽  
Office Buildings ◽  
Office Building ◽  
Washington Dc ◽  
Real Estate Markets ◽  
The Real ◽  
The Real Estate ◽  
The City

This chapter explains the workings and characteristics of real estate submarkets and the interaction of the submarkets with the larger local market. Market analysts have often defined a real estate market by political divisions such as a county, city, or metropolitan area (e.g., Palm Beach County, the City of Los Angeles, Baltimore- Washington, DC metropolitan area). Market trends are compared and contrasted between real estate markets, such as the growth of Baltimore-Washington, DC versus the decline of Buffalo-Niagara Falls metro areas. Such comparisons at a large geographic scale are valuable because they can identify potential opportunities and potential investment failures. However, as discussed in the previous chapter, the real estate decision is a site-specific decision. Analysis at the appropriate scale and for the appropriate submarket is required to support the real estate decision. Submarkets are areas within the larger market area that stand out in some important way (see Thrall and Amos 1999; Thrall and McMullin, 2000b). For example, . . . Sites within the submarket are at the same stage of a cycle with one another, while perhaps being countercyclical with sites in the larger market or other submarkets. Land use within the submarket is homogeneous and differs from land use in other adjacent submarkets (e.g., a submarket of office buildings or retail). A submarket might be composed of households of similar demographic characteristics (lifestyle segmentation profiles), and have housing in a similar price range. . . . The city is an aggregate of submarkets. Each submarket is affected by the whole city; each submarket affects, and in turn is affected by, other nearby submarkets. In other words, submarkets are interdependent with one another and each is interdependent with the whole. Nearby submarkets generally have greater interdependency with one another than they have with submarkets that are more remote. However, some submarkets may be highly interdependent, even though they are distant from one another, such as submarkets of office buildings or industrial park land uses. An urban area will have few office building submarkets that depend on the same geographically large urban market to sustain them; overdevelopment of one office building submarket can have a price effect on another office building submarket.

scholarly journals Information Spillover Effects of Real Estate Markets: Evidence from Ten Metropolitan Cities in China

2021 ◽  
Vol 14 (6) ◽  
pp. 244
Author(s):  
Junjie Li ◽  
Li Zheng ◽  
Chunlu Liu ◽  
Zhifeng Shen
Keyword(s):  
Real Estate ◽  
Rapid Development ◽  
House Price ◽  
Principal Component ◽  
Spillover Effects ◽  
Real Estate Markets ◽  
The Real ◽  
The Real Estate ◽  
Information Interaction ◽  
Information Spillover

With the rapid development of information communication technology and the Internet, information spillover between cities in real estate markets is becoming more frequent. The influence of information spillover in real estate markets is becoming more and more prominent. However, the current research of information spillover between cities is still relatively insufficient. In view of this research gap, this paper builds a research framework on the information conduction effect in the real estate markets of 10 Chinese cities by using Baidu search data, text mining and principal component analysis and analyzes the information interaction and dynamic influence of the real estate markets in each city by using the vector autoregressive model empirically. The results show that the information interaction among the real estate markets in each city has a network pattern and there is a significant two-way information spillover effect in most cities. When the “information distance” becomes closer, the information interaction between the markets of the cities becomes closer and it is easier for cities to influence each other. The results help to explain the information spillover mechanism behind the house price spillover and to improve the ability to predict and analyze the information spillover process in real estate markets.

scholarly journals A atuação do Montepio na produção estatal de habitação em João Pessoa de 1932 a 1963

2009 ◽  
Vol 11 (2) ◽  
pp. 95
Author(s):  
Angela Araujo Nunes
Keyword(s):  
Real Estate ◽  
The State ◽  
Housing Production ◽  
The Real ◽  
The Real Estate ◽  
The Public ◽  
Official Record ◽  
The City

Este trabalho objetiva o exame da atuação da Carteira Imobiliária do Montepio do Estado da Paraíba na produção estatal de habitação na cidade de João Pessoa, de 1932 a 1963, período entre a designação da instituição para a produção de moradias em benefício do funcionalismo público até sua última realização antes da criação do BNH. Através de exaustiva pesquisa documental, realizada em acervos locais, e tendo como principal fonte o jornal A União, registro oficial das realizações do Executivo estadual, foram recolhidos dados sobre as realizações habitacionais do instituto, possibilitando a identificação das suas vilas e conjuntos populares e, posteriormente, a classificação das unidades construídas e a reconstituição da planta e fachada originais. Palavras-chave: Montepio; João Pessoa; carteira imobiliária; habitação popular. Abstract: This work analyzes the constructive actuations of the real estate portfolio of Montepio Paraíba State in the statal housing production in the city of João Pessoa, from 1932 to 1963, established between the institutional designation for the production of housing in benefit of the public functionalism and its last popular realization before the work of BNH. Through exhausting documental research, done in local collections and especially through the newspaper A União, official record of the realizations of the state executive, data was found regarding the realizations of the housings by the institution, identifying the cities and popular aggregation and later on classifying the built unities and the reconstitution of thehouse plans and the front elevation. Keywords: Montepio; João Pessoa; real estate portfolio; popular housing.

scholarly journals COVID-19 Infects Real Estate Markets: Short and Mid-Run Effects on Housing Prices in Campania Region (Italy)

2020 ◽  
Vol 9 (7) ◽  
pp. 114 ◽  
Author(s):  
Vincenzo Del Giudice ◽  
Pierfrancesco De Paola ◽  
Francesco Paolo Del Giudice
Keyword(s):  
Real Estate ◽  
Housing Prices ◽  
Real Estate Market ◽  
Campania Region ◽  
Real Estate Markets ◽  
The Real ◽  
The Real Estate ◽  
Short Run ◽  
Predator Model ◽  
Real Estate Prices

The COVID-19 (also called “SARS-CoV-2”) pandemic is causing a dramatic reduction in consumption, with a further drop in prices and a decrease in workers’ per capita income. To this will be added an increase in unemployment, which will further depress consumption. The real estate market, as for other productive and commercial sectors, in the short and mid-run, will not tend to move independently from the context of the aforementioned economic variables. The effect of pandemics or health emergencies on housing markets is an unexplored topic in international literature. For this reason, firstly, the few specific studies found are reported and, by analogy, studies on the effects of terrorism attacks and natural disasters on real estate prices are examined too. Subsequently, beginning from the real estate dynamics and economic indicators of the Campania region before the COVID-19 emergency, the current COVID-19 scenario is defined (focusing on unemployment, personal and household income, real estate judicial execution, real estate dynamics). Finally, a real estate pricing model is developed, evaluating the short and mid-run COVID-19 effects on housing prices. To predict possible changes in the mid-run of real estate judicial execution and real estate dynamics, the economic model of Lotka–Volterra (also known as the “prey–predator” model) was applied. Results of the model indicate a housing prices drop of 4.16% in the short-run and 6.49% in the mid-run (late 2020–early 2021).

European emerging real estate markets

2016 ◽  
Vol 34 (1) ◽  
pp. 27-50 ◽  
Author(s):  
Martin Haran ◽  
Michael McCord ◽  
Peadar Davis ◽  
John McCord ◽  
Colm Lauder ◽  
...  
Keyword(s):  
Czech Republic ◽  
Real Estate ◽  
Emerging Markets ◽  
Investment Portfolio ◽  
Real Estate Investment ◽  
The Czech Republic ◽  
Content Type ◽  
Real Estate Markets ◽  
The Real ◽  
The Real Estate

Purpose – The purpose of this paper is to improve the transparency of European emerging real estate market dynamics and performance attributes in the wake of the 2007-2008 global financial crisis (GFC). The paper examines the extent and nature of inter-relationships between three emerging real estate markets namely, the Czech Republic, Hungary and Poland as well as determining the rationale for including emerging real estate markets within a Pan-European investment portfolio. The paper affords a timely update following the reinstatement of lending provision for European emerging real estate investment markets in 2014. Design/methodology/approach – The paper employs lead-lag correlations and Grainger causality to examine inter and intra relationships across three emerging European real estate markets, namely the Czech Republic, Hungary and Poland over the period 2006-2014. Optimal portfolio analysis is undertaken to explore the role of emerging real estate markets within the confines of a multi-asset investment portfolio as well as a Pan-European real estate investment portfolio. Findings – The findings demonstrate the opportunities afforded by the European emerging real estate markets in terms of both performance enhancement and risk diversification. Significantly, the findings highlight the lack of “uniformity” across the European emerging markets in terms of their investment potential, with Grainger causality confirming that the real estate markets in the Czech Republic, Hungary and Poland are not endogenous functions of one-another’s performance. Practical implications – This paper makes a considered contribution to the analytical interpretation of European emerging property market performance across the real estate cycle. The research demonstrates that the real estate markets in the Czech Republic, Hungary and Poland exhibit specific investment characteristics which differentiate them from the more developed real estate markets across Europe. Indeed emerging markets have the propensity to serve as both a risk diversifier as well as performance enhancer within the confines of a pan-European real estate investment portfolio. However, as the research clearly articulates, intricate understanding of the attributes afforded by the different emerging markets as well as the divergence in sectoral dynamics/performance is integral to portfolio allocation strategies. Originality/value – Robust academic research on Europe’s emerging real estate markets has been hampered by deficiencies in data provision. This study makes an innovative and timely contribution to redressing the research vacuum through delineated examination of the performance dynamics of three markets namely, the Czech Republic, Hungary and Poland, across the real estate cycle. The role and function of emerging markets is depicted within the confines of a Pan-European direct real estate investment portfolio at the all property level and in terms of sectoral specific allocations comprising retail, office and industrial. The explicit added value of the paper is the propensity to bench-mark the performance of emerging markets real estate markets on a like-for-like basis with developed real estate markets across Europe facilitating the exploration of the role and function of emerging real estate markets within a Pan-European investment context.

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