The Land Market in Mexico under Salinas: A Real-Estate Boom Revisited?

1993 ◽  
Vol 25 (5) ◽  
pp. 627-651 ◽  
Author(s):  
G Jones ◽  
E Jiménez ◽  
P Ward
Keyword(s):  
Real Estate ◽  
Developing Economies ◽  
Empirical Studies ◽  
Housing Markets ◽  
Land Market ◽  
Real Estate Investment ◽  
Land Prices ◽  
Urban Political Economy ◽  
Carlos Salinas De Gortari ◽  
Investment Portfolios

It is a central contention of urban political economy that changes in the macroeconomy will have demonstrable effects on land and housing markets. However, in few empirical studies has this relationship been investigated, particularly in cities of developing economies. The structure of the land market in Mexico under the changing economic conditions heralded by the election of Carlos Salinas de Gortari as Mexican President for the six-year ( sexenio) period 1988–94 is studied in this paper. It is argued that the immediate policies of Salinas, especially the control of inflation, brought about a return to the favourable conditions of real-estate investment that had existed throughout most of the 1970s. But more recent policies and particularly those of economic liberalization may not bode quite so well for those wishing to place a large part of their investment portfolios in real estate. The paper concludes with some comments on the development of the land market and land prices as the Salinas sexenio progresses and some speculations about the type of legacy that will be left for his successor.

scholarly journals The Impact of Single-Family Rental REITs on Regional Housing Markets: A Case Study of Nashville, TN

Societies ◽  
2018 ◽  
Vol 8 (4) ◽  
pp. 93 ◽  
Author(s):  
Ken Chilton ◽  
Robert Silverman ◽  
Rabia Chaudhrey ◽  
Chihaungji Wang
Keyword(s):  
Real Estate ◽  
Census Data ◽  
Housing Markets ◽  
Future Research ◽  
Individual Investors ◽  
Single Family ◽  
Real Estate Investment ◽  
Wealth Concentration ◽  
The Impact ◽  
The U.S

The U.S. Congress authorized the creation of real estate investment trusts (REITs) in 1960 so companies could develop publically traded real estate investment portfolios. REITs focus on commercial property, retail property, and rental property. During the last decade, REITs became more active in regional housing markets across the U.S. Single-family rental (SFR) REITs have grown tremendously, buying up residential properties across the country. In some regional housing markets, SFR REITs own noticeable shares of single-family homes. In those settings, SFR REITs take large numbers of housing units off of real estate markets where homeownership transactions occur and manage these properties as part of commercial rental inventories. This has resulted in a new category of multiple property owners, composed of institutional investors as opposed to individual investors, which further exacerbates property wealth concentration and polarization. This study examines the socio–spatial distribution of properties in SFR REIT portfolios to determine if SFR REIT properties tend to cluster in distinct areas. This study will focus on the regional housing market in Nashville, TN. Nashville has one of the most active SFR REIT sectors in the country. County tax assessor records were used to identify SFR REIT properties. These data were joined with U.S. Census data to create a profile of communities. The data were analyzed using SPSS statistical software and GIS software. Our analysis suggests that neighborhoods with clusters of SFR REITs fit the SFR REIT business model. Clusters occur in communities with newer homes, residents with higher levels of educational attainment, and middle to upper-middle incomes. The paper concludes with several recommendations for future research on SFR REITs.

scholarly journals Dynamic Decision Model of Real Estate Investment Portfolio Based on Wireless Network Communication and Ant Colony Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Ming Li ◽  
Yousong Wu
Keyword(s):  
Real Estate ◽  
National Economy ◽  
Ant Colony Algorithm ◽  
Ant Colony ◽  
Real Estate Development ◽  
Real Estate Industry ◽  
Real Estate Investment ◽  
The Real ◽  
The Real Estate ◽  
Investment Portfolios

From reform and opening to the comprehensive construction of a well-off society, the rapid growth of the national economy and the advancement of urbanization have promoted the rapid development of China’s real estate industry. The real estate industry has become a pillar growth point in the development of the national economy. At the same time, China’s real estate markets also continue to mature. However, due to the short development time of my country’s real estate market, imperfect management mechanism, irregular organization, and other issues, coupled with the fierce competition and internationalization of the market investment environment, the risk of investment accumulation in the real estate industry is also increasing. Therefore, in real estate investment decision-making, it is of far-reaching significance to study how to control real estate investment risks and promote the healthy and stable development of the real estate industry. The purpose of this article is to build a set of investment portfolios based on the ant colony algorithm to diversify risks and obtain returns, so that the constructed investment portfolios will minimize the risk when the return reaches a certain amount of time. This article first gives a general introduction to wireless network communication and then analyzes the risk of real estate project investment. First, the variance is used as a measure of risk to establish a dynamic model of the real estate development project portfolio, and the ant colony algorithm is introduced to the investment risk of real estate development projects. In the dynamic analysis, an improved portfolio model was established, and the two were compared through case analysis. The experimental results show that under the condition of the same net present value and investment payback period, the ant colony algorithm based on variance is invested in lot H. The ratio is obviously higher, and the capital investment ratio of lot H based on the ant colony algorithm is obviously lower. The difference between the two is 30.1%.

scholarly journals The effect of quality market research on the performance / profitability of real estate investment in emerging economies

2020 ◽  
Vol 8 (3) ◽  
pp. 139
Author(s):  
Nworah Joseph Chukwuma
Keyword(s):  
Real Estate ◽  
Market Research ◽  
Developing Economies ◽  
Emerging Market ◽  
Investment Decisions ◽  
Real Estate Market ◽  
Research Report ◽  
Real Estate Investment ◽  
Investment Performance

The ever increasing global competition among real estate investment organizations has it made imperative for industry players to continually invest in real estate market research to guide them in investment decisions. The quality of market research report provided by the market research professional/consultant is expected to reflect on the quality of outcome of investment decisions made by the investors ad invariably affects the marketability and profitability of the investment concerned. This study investigates the effect of quality market research on the marketability and profitability of real estate investment in developing economies taking Lagos-Nigeria, as case study. The study area is Lagos metropolis, southwestern Nigeria, chosen because of its strategic relevance in real estate investment, as emerging market. Research design is cross-sectional type which is descriptive and the study population consists of respondents who are real estate research consultants and real estate investors in the study area. Random sampling technique was applied and research instrument was closed and open-ended structured questionnaire and face-to interviews for the primary data; and Journals, textbooks, published articles and internet for secondary data. Data collected was analyzed using simple descriptive and statistical tools such as frequency distribution tables, charts, percentages, mean scores, pearson correlation, Analysis of variance (ANOVA) as well as Likert scale. The summary of the result of the data analysis shows that market research contributes immensely to the Property Investment Performance in major indices. The result also established healthy relationship between the quality of market research and real estate investment performance showing that the correlation coefficient of 0.240 significant at 10% level. Subsequently, the study recommended among other things, the establishment of data bank for all real estate performance indices; and real estate market research institute by the Federal Government of Nigeria.

scholarly journals The Effect of Quality Market Research on the Marketability and Profitability of Real Estate Investment in Emerging Economies

2019 ◽  
Vol 2 (2) ◽  
Keyword(s):  
Real Estate ◽  
Market Research ◽  
Developing Economies ◽  
Emerging Market ◽  
Investment Decisions ◽  
Real Estate Market ◽  
Research Report ◽  
Real Estate Investment ◽  
Investment Performance

The ever increasing global competition among real estate investment organizations has it made imperative for industry players to continually invest in real estate market research to guide them in investment decisions. The quality of market research report provided by the market research professional/consultant is expected to reflect on the quality of outcome of investment decisions made by the investors ad invariably affects the marketability and profitability of the investment concerned. This study investigates the effect of quality market research on the marketability and profitability of real estate investment in developing economies taking Lagos-Nigeria, as case study. The study area is Lagos metropolis, southwestern Nigeria, chosen because of its strategic relevance in real estate investment, as emerging market. Research design is cross-sectional type which is descriptive and the study population consists of respondents who are real estate research consultants and real estate investors in the study area. Random sampling technique was applied and research instrument was closed and open-ended structured questionnaire and face-to interviews for the primary data; and Journals, textbooks, published articles and internet for secondary data. Data collected was analyzed using simple descriptive and statistical tools such as frequency distribution tables, charts, percentages, mean scores, pearson correlation, Analysis of variance (ANOVA) as well as Likert scale. The summary of the result of the data analysis shows that market research contributes immensely to the Property Investment Performance in major indices. The result also established healthy relationship between the quality of market research and real estate investment performance showing that the correlation coefficient of 0.240 significant at 10% level. Subsequently, the study recommended among other things, the establishment of data bank for all real estate performance indices; and real estate market research institute by the Federal Government of Nigeria.

scholarly journals The Impact of Foreign Real Estate Investment on Land Prices: Evidence from Mauritius

2017 ◽  
Vol 21 (4) ◽  
pp. e131-e146 ◽  
Author(s):  
Chris Brooks ◽  
Matthew Lamport ◽  
Kesseven Padachi ◽  
Vinesh Sannassee ◽  
Keshav Seetah ◽  
...  
Keyword(s):  
Real Estate ◽  
Real Estate Investment ◽  
Land Prices ◽  
The Impact

Characteristics of Rental Real Estate Investors During the 2000s

2018 ◽  
Vol 29 (2) ◽  
pp. 369-382 ◽  
Author(s):  
Martin C. Seay ◽  
Somer G. Anderson ◽  
Andy T. Carswell ◽  
Robert B. Nielsen
Keyword(s):  
Real Estate ◽  
Investment Decision ◽  
Housing Markets ◽  
Real Estate Market ◽  
Program Participation ◽  
Real Estate Investment ◽  
Real Estate Education ◽  
Financial Characteristics ◽  
Using Data

Using data from the 2001, 2004, and 2008 panels of the Survey of Income and Program Participation (SIPP), this research examines the characteristics of households that invested in rental real estate during the 2000s. Given the tumultuous real estate market during that decade, rental real estate investment was investigated during the early part of the housing market boom (2001), the height of the boom (2004), and after the market began to decline (2008). Results reveal relative stability with slight investment increases in rental real estate (4.57% in 2001 to 5.00% in 2004 to 5.08% in 2008), and several investor demographic and financial characteristics consistently associated with the investment decision. Evidence of potential over-reliance on real estate investment by some households indicates that financial planners should work to educate clients who invest, or are seeking to invest, in real estate. Education would emphasize that overweighting portfolios with real estate could be deleterious to client’s wealth goals in times of slow rental or depreciating housing markets.

scholarly journals Creating operational alpha? Operating models for real estate management

2020 ◽  
Vol 38 (4) ◽  
pp. 565-583
Author(s):  
Pat McAllister
Keyword(s):  
Real Estate ◽  
Case Studies ◽  
Institutional Investors ◽  
Facilities Management ◽  
Real Estate Investment ◽  
Operating Model ◽  
Content Type ◽  
Management Models ◽  
Operational Management ◽  
Investment Portfolios

PurposeFocussing on the UK’s institutional real estate universe, this paper analyses variations in the operational management of real estate investment portfolios. For the main categories of institutional investors, the key tasks in real estate operational management, and the ways in which these tasks are typically bundled and categorised by investment managers are reviewed. Three broad operational management models are outlined. Case studies of real estate operational management models in practice are discussed.Design/methodology/approachThe research approach is primarily descriptive, drawing upon illustrative investor case studies.FindingsA range of operating models are identified for managing real estate investment portfolios. Specialists real estate investors tend to have highly vertically integrated operating models viewing most operational management functions as core operational capabilities. Multi-asset owners tend to have a vertically disintegrated operating model outsourcing fund, asset, property and facilities management. Investing institutions such as fund houses and specialist real estate investment advisors seem to have converged upon a common hybrid operating model with high margin, analytical functions such as fund and asset management being insourced and low margin, routine functions such as property and facilities management being outsourced.Originality/valueDespite the size of the global, institutional real estate investment universe (estimated by DTZ to be worth more than USD 13.6 trillion in 2015), the topic of how (and how effectively) these assets are managed by institutional investors has attracted very little attention from the real estate research community. This paper provides some initial analysis and insights into operational management models for real estate investment portfolios in the contemporary real estate investment management landscape.

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