Examining why developers encourage foreign investment in local residential real estate in India

2016 ◽  
Vol 9 (4) ◽  
pp. 580-600
Author(s):  
Alok Tiwari ◽  
Mohammed Aljoufie
Keyword(s):  
Real Estate ◽  
Housing Market ◽  
United Arab Emirates ◽  
Foreign Investment ◽  
Large Population ◽  
Political Stability ◽  
Primary Data ◽  
Residential Real Estate ◽  
Content Type ◽  
Property Developers

Purpose The study aims to explore the role of non-resident Indian (NRI) investors into staggering local housing market and the efforts of developers and regulators to lure such investors. Design/methodology/approach Primary data for this exploratory study were assembled through a Google form-based questionnaire circulated over internet among NRIs residing in Kingdom of Saudi Arabia, USA, Singapore and United Arab Emirates, whereas the secondary data sources include the Government of India policy documents, World Bank data, Reserve Bank of India archives and reports published in reputed financial and others print media sources. Findings Indian housing market is confronted with a demand and supply mismatch at present. While a massive demand lingers at affordable housing segment, on the contrary, millions of housing inventories are also piling up. Consequently, property developers are attempting to lure the large population of NRIs residing at global cities. Study observes that sentimental attachment to the homeland, higher rate of returns, anticipated rental incomes are the major decisive elements. Additionally, growth in infrastructure, world-class amenities offered by developers, conformity to sustainability and political stability is the other critical reasons. Research limitations/implications On first hand, the study outlines a novel kind of foreign investment in Indian local residential real estate that is via NRI channel. Second, non-resident investors might surprise to the property developers and government through a realistic strategic approach. Originality/value Probably, the study is first of its type gazing at NRI investors, as a foreign investor, in the local residential real estate.

scholarly journals Information transparency and pricing strategy in the Scottish housing market

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Daniel Lo ◽  
Nan Liu ◽  
Michael James McCord ◽  
Martin Haran
Keyword(s):  
Real Estate ◽  
Spatial Autocorrelation ◽  
Housing Market ◽  
Government Policy ◽  
Price Determination ◽  
Residential Real Estate ◽  
Spatial Lag ◽  
Content Type ◽  
Information Transparency ◽  
Residential Market

Purpose Information transparency is crucially important in price setting in real estate, particularly when information asymmetry is concerned. This paper aims to examine how a change in government policy in relation to information disclosure and transparency impacts residential real estate price discovery. Specially, this paper investigates how real estate traders determined asking prices in the context of the Scottish housing market before and after the implementation of the Home Report, which aimed to prevent artificially low asking prices. Design/methodology/approach This paper uses spatial lag hedonic pricing models to empirically observe how residential asking prices are determined by property sellers in response to a change in government policy that is designed to enhance market transparency. It uses over 79,000 transaction data of the Aberdeen residential market for the period of Q2 1998 to Q2 2013 to test the models. Findings The empirical findings provide some novel insights in relation to the price determination within the residential market in Scotland. The spatial lag models suggest that spatial autocorrelation in property prices has increased since the Home Report came into effect, indicating that property sellers have become more prone to infer asking prices based on prior sales of dwellings in close vicinity. The once-common practice of setting artificially low asking prices seems to have dwindled to a certain extent statistically. Originality/value The importance of understanding the relationship between information transparency and property price determination has gathered momentum over the past decade. Although spatial hedonic techniques have been extensively used to study the impact of various property- and neighbourhood-specific attributes on residential real estate market in general, surprisingly little is known about the empirical relationship between spatial autocorrelation in real estate prices and information transparency.

Factors influencing real estate graduates soft skill gap in Nigeria

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Timothy Oluwafemi Ayodele ◽  
Oluseyi Joshua Adegoke ◽  
Kahilu Kajimo-Shakantu ◽  
Olaitan Olaoye
Keyword(s):  
Real Estate ◽  
Soft Skills ◽  
Primary Data ◽  
Soft Skill ◽  
Content Type ◽  
High Expectations ◽  
Business Negotiation ◽  
Factors Influencing ◽  
Skill Gaps ◽  
Major Property

PurposeThe purpose of this study is to evaluate the soft skill gap of graduate employees, as well as the factors influencing the skill gaps of real estate graduates in the employment of real estate firms in Nigeria.Design/methodology/approachPrimary data were employed for the study. Close-ended questionnaire served on real estate employers in the two major property markets of Nigeria: Lagos and Abuja. From a total of 343 questionnaires administered, 172 (59.7%) questionnaires were retrieved. While data from the graduate employees were obtained via a web-based survey sent out to a total of 558 graduates, 119 (21.33%) responses were received. Descriptive and inferential statistical techniques were employed in the data analysis.FindingsThe findings showed that employers had high expectations for soft skillsets relating to responsibility, administrative, listening and communication skills. These have respective mean scores of 6.38, 6.33, 6.31 and 6.31 on a seven point scale. However, the results revealed significant skill gaps with skills such as logical thinking, business negotiation, responsibility and marketing. Further, the analysis revealed that factors influencing the skill gap, in decreasing order of influence, are training/professional mentors/remuneration, personal preferences/industry characteristics and curriculum/faculties.Practical implicationsReal estate graduate soft skills are investigated to uncover areas of emphasis and skill gaps. These outcomes could serve as important feedbacks for stakeholders towards improving real estate teaching and curriculum. The findings could also assist real estate graduates to know employers areas of emphasis in relation to graduate employability skills.Originality/valueExtant studies have reiterated and evaluated the soft skills gaps based on the perceptions of employers, faculties and institutions of higher learning. However, there is the need to investigate the perception of graduate employees, being the recipient and major stakeholders in the training process.

scholarly journals Assessment of Average Market Investment Returns in Development of the Residential Real Estate in the Moscow Region

2019 ◽  
Vol 12 (3) ◽  
pp. 140-152
Author(s):  
S. G. Sternik ◽  
Ya. S. Mironchuk ◽  
E. M. Filatova
Keyword(s):  
Real Estate ◽  
Initial Data ◽  
Housing Market ◽  
Return On Investment ◽  
High Reliability ◽  
Real Estate Market ◽  
Moscow Region ◽  
Residential Real Estate ◽  
Market Return ◽  
Total Investment

In the previous work, G.M. Sternik and S.G. Sternik justified the options for the method of assessing the average current annual return on investment in residential real estate development, depending on the nature and content of the initial data on the costs contained in the sources of information (construction costs or total investment costs). Based on the analysis of the composition of the elements of development costs used in various data sources, we corrected the coefficients that allowed us to move from the assessment of the current annual return on investment in development in relation to the cost (full estimated cost) of construction to the assessment of the current annual return on investment in relation to the total investment costs. This calculation method was tested on the example of the housing market inMoscow. As a result, we concluded it is possible its use for investment management in the housing market. In this article, based on G.M. Sternik and S.G. Sternik’s methodology for assessing the return on investment into the development, and taking also into account the increase of information openness of the real estate market, we improved the calculation formulas, using new sources of the initial data, and recalculated the average market return on investment into the development of residential real estate in the Moscow region according to the data available for 2014–2017. We concluded that, since 2015, the average market return on investment takes negative values, i.e. the volume of investment in construction exceeds the revenue from sales in the primary market. However, in the second half of 2017, the indicator has increased to positive values, which was due to a greater extent of the decrease in the volume of residential construction in the region. The data obtained by us, together with the improved method of calculations, allow predicting with high reliability the potential of the development of the regional markets of primary housing for the purpose of investment and state planning of housing construction programs.

Property investor decisions using income and rental ratio signals

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Billie Ann Brotman
Keyword(s):  
Real Estate ◽  
Housing Market ◽  
Discount Rate ◽  
Price Index ◽  
Housing Prices ◽  
Housing Price ◽  
Consumer Sentiment ◽  
Content Type ◽  
Income Ratio ◽  
Real Estate Prices

PurposeThis paper, a case study, aims to consider whether the income ratio and rental ratio tracks the formation of residential housing price spikes and their collapse. The ratios are measuring the risk associated with house price stability. They may signal whether a real estate investor should consider purchasing real property, continue holding it or consider selling it. The Federal Reserve Bank of Dallas (Dallas Fed) calculates and publishes income ratios for Organization for Economic Cooperation and Development countries to measure “irrational exuberance,” which is a measure of housing price risk for a given country's housing market. The USA is a member of the organization. The income ratio idea is being repurposed to act as a buy/sell signal for real estate investors.Design/methodology/approachThe income ratio calculated by the Dallas Fed and this case study's ratio were date-stamped and graphed to determine whether the 2006–2008 housing “bubble and burst” could be visually detected. An ordinary least squares regression with the data transformed into logs and a regression with structural data breaks for the years 1990 through 2019 were modeled using the independent variables income ratio, rent ratio and the University of Michigan Consumer Sentiment Index. The descriptive statistics show a gradual increase in the ratios prior to exposure to an unexpected, exogenous financial shock, which took several months to grow and collapse. The regression analysis with breaks indicates that the income ratio can predict changes in housing prices using a lead of 2 months.FindingsThe gradual increases in the ratios with predetermine limits set by the real estate investor may trigger a sell decision when a specified rate is reached for the ratios even when housing prices are still rising. The independent variables were significant, but the rent ratio had the correct sign only with the regression with time breaks model was used. The housing spike using the Dallas Fed's income ratio and this study's income ratio indicated that the housing boom and collapse occurred rapidly. The boom does not appear to be a continuous housing price increase followed by a sudden price drop when ratio analysis is used. The income ratio is significant through time, but the rental ratio and Consumer Sentiment Index are insignificant for multiple-time breaks.Research limitations/implicationsInvestors should consider the relative prices of residential housing in a neighborhood when purchasing a property coupled with income and rental ratio trends that are taking place in the local market. High relative income ratios may signal that when an unexpected adverse event occurs the housing market may enter a state of crisis. The relative housing prices to income ratio indicates there is rising housing price stability risk. Aggregate data for the country are used, whereas real estate prices are also significantly impacted by local conditions.Practical implicationsRatio trends might enable real estate investors and homeowners to determine when to sell real estate investments prior to a price collapse and preserve wealth, which would otherwise result in the loss of equity. Higher exuberance ratios should result in an increase in the discount rate, which results in lower valuations as measured by the formula net operating income dividend by the discount rate. It can also signal when to start reinvesting in real estate, because real estate prices are rising, and the ratios are relative low compared to income.Social implicationsThe graphical descriptive depictions seem to suggest that government intervention into the housing market while a spike is forming may not be possible due to the speed with which a spike forms and collapses. Expected income declines would cause the income ratios to change and signal that housing prices will start declining. Both the income and rental ratios in the US housing market have continued to increase since 2008.Originality/valueA consumer sentiment variable was added to the analysis. Prior researchers have suggested adding a consumer sentiment explanatory variable to the model. The results generated for this variable were counterintuitive. The Federal Housing Finance Agency (FHFA) price index results signaled a change during a different year than when the S&P/Case–Shiller Home Price Index is used. Many prior studies used the FHFA price index. They emphasized regulatory issues associated with changing exuberance ratio levels. This case study applies these ideas to measure relative increases in risk, which should impact the discount rate used to estimate the intrinsic value of a residential property.

Foreign investment in Australian residential properties

2019 ◽  
Vol 12 (2) ◽  
pp. 166-180 ◽  
Author(s):  
Hassan F. Gholipour ◽  
Hooi Hooi Lean ◽  
Reza Tajaddini ◽  
Anh Khoi Pham
Keyword(s):  
Real Estate ◽  
Foreign Investment ◽  
House Prices ◽  
Real Estate Market ◽  
Housing Development ◽  
Housing Construction ◽  
Annual Data ◽  
Content Type ◽  
Residential Properties ◽  
The Impact

Purpose The purpose of this study is to examine the impact that foreign investment in existing houses and new housing development has on residential house prices and the growth of the housing construction sector. Design/methodology/approach The analysis is based on a panel cointegration method, estimated using annual data for all Australian states and territories spanning the period of 1990-2013. Findings The results indicate that increases in foreign investment in existing houses do not significantly lead to increases in house prices. On the other hand, a 10 per cent increase in foreign investment for housing development decreases house prices by 1.95 per cent. We also find that foreign real estate investments have a positive impact on housing construction activities in the long run. Originality/value Existing studies used aggregate foreign real estate investment in their analyses. As foreign investment in existing houses and foreign investment for housing development have different impacts on the demand and supply sides of housing market, it is crucial that the analysis of the effects of foreign investment in residential properties on real estate market is conducted for each type differently.

Real effects of real estate: evidence from unemployment rates

2020 ◽  
Vol 37 (4) ◽  
pp. 605-623
Author(s):  
Can Dogan ◽  
John Can Topuz
Keyword(s):  
Real Estate ◽  
Housing Prices ◽  
Real Economy ◽  
Residential Real Estate ◽  
Content Type ◽  
Unemployment Rates ◽  
The Real ◽  
Real Estate Price ◽  
Real Effects ◽  
Real Estate Prices

Purpose This paper aims to investigate the relationship between residential real estate prices and unemployment rates at the Metropolitan Statistical Area (MSA) level. Design/methodology/approach This paper uses a long time-series of MSA-level quarterly data from 1990 to 2018. It uses an instrumental variable approach to estimate the effects of residential real estate prices on unemployment rates using the geography-based land constraints measure of Saiz (2010) as the instrument. Findings The results show that changes in residential real estate prices do not have a causal effect on unemployment rates in the same quarter. However, it takes 9-12 months for an increase (decrease) in real estate prices to decrease (increase) unemployment rates. This effect is significant during both pre- and post-financial crisis periods and robust to control for the economic characteristics of MSAs. Research limitations/implications This paper contributes to the emerging literature that studies the real effects of real estate. Particularly, the methodology and the findings can be used to investigate causal relationships between housing prices and small business development or economic growth. The findings are also of interest to policymakers and practitioners as they illustrate how and when real estate price shocks propagate to the real economy through unemployment rates. Practical implications This study’s findings have important implications for academics, policymakers and investors as they provide evidence of a snowball effect associated with shocks to real estate prices: increasing (decreasing) unemployment rates following a decrease (increase) in real estate prices exacerbates the real estate price movements and their economic consequences. Originality/value This paper analyzes a significantly longer period, from 1990 to 2018, than the existing literature. Additionally, it uses the MSA-level land unavailability measure of Saiz (2010) as an instrument to explore the effects of residential real estate prices on unemployment rates and when those effects are observed in the real economy.

The housing demand analysis and prediction of the real estate based on the AWGM (1, N) model

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xin Xiong ◽  
Huan Guo ◽  
Xi Hu
Keyword(s):  
Real Estate ◽  
Housing Market ◽  
Housing Demand ◽  
Grey Model ◽  
Content Type ◽  
First Order ◽  
Model Based ◽  
Per Capita ◽  
Improved Model ◽  
Grey Relational

PurposeThe purpose of this paper is to seek to drive the modernization of the entire national economy and maintain in the long-term stability of the whole society; this paper proposes an improved model based on the first-order multivariable grey model [GM (1, N) model] for predicting the housing demand and solving the housing demand problem.Design/methodology/approachThis paper proposes an improved model based on the first-order multivariable grey model [GM (1, N) model] for predicting the housing demand and solving the housing demand problem. First, a novel variable SW evaluation algorithm is proposed based on the sensitivity analysis, and then the grey relational analysis (GRA) algorithm is utilized to select influencing factors of the commodity housing market. Finally, the AWGM (1, N) model is established to predict the housing demand.FindingsThis paper selects seven factors to predict the housing demand and find out the order of grey relational ranked from large to small: the completed area of the commodity housing> the per capita housing area> the one-year lending rate> the nonagricultural population > GDP > average price of the commodity housing > per capita disposable income.Practical implicationsThe model constructed in the paper can be effectively applied to the analysis and prediction of Chinese real estate market scientifically and reasonably.Originality/valueThe factors of the commodity housing market in Wuhan are considered as an example to analyze the sales area of the commodity housing from 2015 to 2017 and predict its trend from 2018 to 2019. The comparison between demand for the commodity housing actual value and one for model predicted value is capability to verify the effectiveness of the authors’ proposed algorithm.

Predicting customers’ adoption towards family takaful scheme in Pakistan using diffusion theory of innovation

2019 ◽  
Vol 11 (6) ◽  
pp. 1761-1776
Author(s):  
Imran Mehboob Shaikh ◽  
Kamaruzaman Bin Noordin ◽  
Sindhia Arijo ◽  
Fawad Shaikh ◽  
Ahmed Alsharief
Keyword(s):  
Diffusion Theory ◽  
Empirical Studies ◽  
Large Population ◽  
Relative Advantage ◽  
Primary Data ◽  
Content Type ◽  
Reference Guide ◽  
The Family ◽  
Perceived Complexity ◽  
Islamic Insurance

Purpose This paper aims to examine the determinants that influence the customer’s adoption towards the use of family takaful scheme by extending diffusion theory of innovation (DOI) in the context of Pakistan. Design/methodology/approach The published work allied to takaful studies and DOI was reviewed. Total of 282 respondents who are non-users of family takaful product were used for the purpose of primary data collection through convenience sampling. Findings The customer’s adoption towards Islamic insurance is determined not only by perceived relative advantage and perceived compatibility but also by awareness and religious belief. Perceived complexity, on the contrary, turns out not to be a predictor of family takaful adoption. Further, gender, age and education do not moderate the family takaful adoption by the customers. Research limitations/implications This research alike others have limitations in terms of sampling method used and only covers one city of Pakistan, namely, Karachi. Further studies need to be conducted in other cities as well with a large population. Originality/value Extended DOI is not used in the context of takaful in Pakistan as evident from scarce literature on the empirical studies. Therefore, the authors extend the DOI in the current work. Further, this paper will be a useful reference guide for the academicians, operators of takaful business and future researchers.

Corporate real estate strategies: the Nigerian experience

2015 ◽  
Vol 17 (4) ◽  
pp. 244-259
Author(s):  
Timothy Tunde Oladokun ◽  
Bioye Tajudeen Aluko
Keyword(s):  
Real Estate ◽  
Business Performance ◽  
Stock Exchange ◽  
Primary Data ◽  
Content Type ◽  
The Real Estate ◽  
Corporate Objective ◽  
Corporate Real Estate ◽  
Public Organisations ◽  
Real Estate Management

Purpose – The paper aims to contribute to the empirically scarce literature on corporate real estate management (CREM) strategies by providing meaningful insights on the different strategies likely to contribute to business performance in a developing country like Nigeria. Design/methodology/approach – Primary data collected using questionnaire administered on property managers of the 105 business organisations in the list of registered companies with the Nigerian Stock Exchange were used for the study. The questionnaire elicited information on the real estate holding pattern and the adopted strategies for acquiring and managing real estate assets. The data collected were analysed using percentages, mean and proportion method. Findings – The study established that 41 per cent of the organisations were public organisations. Others were private companies (31 per cent), government departments (18 per cent) and multi-nationals (10 per cent). The result indicated that 31.8 per cent had no CREM strategy. Strategies used were: cost reduction (18.75 per cent), facilitate production (20.17 per cent), flexibility (15.5 per cent), promote human resource objectives (10.86 per cent), promote the marketing message (4.33 per cent), promote sales and selling delivery (18.67 per cent), facilitate managerial process and knowledge (7.5 per cent) and capture real estate value (6.5 per cent). The study concluded that CREM is a useful tool that the organisations can make effective use of to improve their performance. Research limitations/implications – Limiting the scope of the study to the perception of the respondents could reflect an element of bias and might pose a great challenge to the representativeness. Also, the use of closed question questionnaire may limit the validity of the results. Practical implications – The study has major implications on business performance in Nigeria. There is the need for corporations to reappraise their real estate strategy and realign it with their corporate objective. There is also the need for Nigerian Institution of Estate Surveyors and Valuers to train its members for contemporary business requirements. Originality/value – The paper is a useful guide to corporate real estate managers in developing countries towards using real estate strategies to minimize the overall cost of their companies.

Bankruptcy law challenges the United Arab Emirates

2017 ◽  
Keyword(s):  
United Arab Emirates ◽  
Financial Institutions ◽  
Foreign Investment ◽  
Direct Investment ◽  
Arab Countries ◽  
Bankruptcy Law ◽  
2008 Financial Crisis ◽  
Content Type ◽  
Oil Sector ◽  
The 2008 Financial Crisis

Subject Legislation on insolvency in the United Arab Emirates. Significance The long-awaited federal bankruptcy law came into effect on December 29, three months after its publication. The 2008 financial crisis highlighted the need to adopt comprehensive insolvency legislation, after many debtors fled the country to avoid penal consequences -- including time in prison -- when their businesses crashed. However, despite low oil prices it was not until 2016 that steps to formalise the bankruptcy law were expedited, with the aim of promoting foreign investment and business development. Impacts Foreign direct investment in the non-oil sector will increase. Some financial institutions could be slow to take account of the new legislation. Other Gulf Arab countries may look to the UAE bankruptcy law as a model.

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