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 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 Structure, Conduct and Performance of REITs in Emerging Markets: Empirical Evidence from Nigeria

2020 ◽  
Vol 4 (2) ◽  
pp. 76-97
Author(s):  
Daniel Ibrahim Dabara ◽  
◽  
Olusegun Adebayo Ogunba ◽  
Keyword(s):  
Real Estate ◽  
Granger Causality ◽  
Unit Root ◽  
Investment Decisions ◽  
Real Estate Market ◽  
Least Square ◽  
Unit Root Tests ◽  
Real Estate Investment ◽  
Essential Information ◽  
And Performance

Purpose: This study examines the correlations between the structure, conduct and performance of Real Estate Investment Trusts in Nigeria (N-REITs) with a view to providing information that will enhance and guide real estate investment decisions on N-REITs. Design/Approach: The study population consists of all three REIT companies in Nigeria, namely: Skye Shelter Fund, Union Home REIT and UACN Property Development Company (UPDC) REIT. Secondary data on dividends and share prices of N-REITs; Total Business Revenues (TBR) and Total Individual Expenditure (TIE) on conduct variables were sourced from periodicals of the respective companies covering the period from 2008 to 2016. The data series for the study were analyzed by means of the Kwiatkowski-Phillips-Schimidt-Shin (KPSS) unit root tests, Philip-Perron (PP) unit root tests, Granger Causality tests, and the Ordinary Least Square (OLS) regression. Findings: The study shows a Herfindahl Hischman Index (HHI) that ranged between 41.81% (recorded in 2010) and 100% recorded in 2008. This suggests a high concentration in the N-REITs industry. Similarly, the Granger Causality Test conducted reveals a bi-directional causal relationship between the structure, conduct and performance of N-REITs. Practical Implications: The study provides essential information (on the HHI, return performance and causal relationships) for stakeholders in the real estate sector regarding the influence of structure and conduct on the performance of N-REITs. This information will be valuable for equipping asset managers, insurance companies, pension funds and individual real estate investors in making informed investment decisions. Originality/Value: This study is unique as it is the first to draw a link between the structure, conduct and performance of REITs in an African emerging real estate market; something that has not been considered in previous studies.

scholarly journals Genetic Algorithm as Automated Valuation Model Component in Real Estate Investment Decisions System

2020 ◽  
Vol 28 (4) ◽  
pp. 1-14
Author(s):  
Aneta Chmielewska ◽  
Jerzy Adamiczka ◽  
Michał Romanowski
Keyword(s):  
Genetic Algorithms ◽  
Real Estate ◽  
Investment Decision ◽  
Biological Evolution ◽  
Investment Decisions ◽  
Careful Analysis ◽  
Real Estate Market ◽  
Real Estate Investment ◽  
Automated Valuation ◽  
The Impact

AbstractEvery real-estate related investment decision making process calls for the careful analysis of available information even though it is often carried out in conditions of uncertainty. The paper attempts to minimize the impact of the factor on the quality of real estate investment decisions through the proposal of application of tools based on the simulation of the process of natural selection and biological evolution. The aim of the study is to analyze the potential of methodology based on genetic algorithms (GA) to build automated valuation models (AVM) in uncertainty conditions and support investment decisions on the real estate market. The developed model facilitates the selection of properties adequate to the adopted assumptions, i.e. individuals best suited to the environment. The tool can be used by real estate investment advisors and potential investors on the market to predict future processes and the proper confrontation of past events with planned events. Even though genetic algorithms are tools that have already found particular application on real estate market, there are still areas that need further studies in the case of more effective uses. The obtained results allow for the possibilities and barriers of applying GA to real estate market analyses to be defined.

Implementation of Linkage Programs: The Planner's Role in Real Estate Market Research and Regulation

1988 ◽  
Vol 8 (1) ◽  
pp. 45-52 ◽  
Author(s):  
Kirk McClure
Keyword(s):  
Real Estate ◽  
Low Income ◽  
Market Research ◽  
Real Estate Market ◽  
Social Programs ◽  
Market Regulation ◽  
Real Estate Investment ◽  
Commercial Development ◽  
Project Analysis ◽  
Real Estate Project

The study of real estate development has become an integral part of planning education as planners draw upon the techniques of real estate investment analysis to control land use. The application of these techniques has been expanded by linking new commercial development to noncommercial development that serves public goals. Fees charged against new commercial development are used to fund social programs, such as the production of low income housing. To make these linkage programs work, planners must possess skills in both individual real estate project analysis and market-wide regulation. It is argued here that this second area, market regulation, has not received adequate attention in planning curricula.

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