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Factors affecting financial leveraging for BSE listed real estate development companies in India

Journal of financial management of property and construction, 2018-10, Vol.23 (3), p.274-294 [Peer Reviewed Journal]

Emerald Publishing Limited ;Emerald Publishing Limited 2018 ;ISSN: 1366-4387 ;EISSN: 1759-8443 ;DOI: 10.1108/JFMPC-01-2017-0002

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  • Title:
    Factors affecting financial leveraging for BSE listed real estate development companies in India
  • Author: Sharma, Rakesh Kumar
  • Subjects: Brand equity ; Call centers ; Capital structure ; Central business districts ; Commercial real estate ; Debt ; Determinants ; Developers ; Economic conditions ; Economics ; Empirical analysis ; Equity funds ; Financial leverage ; Financial management ; Financing ; Funding ; GDP ; Gross Domestic Product ; Hotels ; Information technology ; Investments ; Liabilities ; Loans ; Management reports ; Multivariate analysis ; Office space ; Private equity ; Profitability ; Real estate ; Real estate financing ; Regression analysis ; Regression models ; Retail stores ; Stock exchanges ; Stockholders ; Theaters & cinemas ; Volatility
  • Is Part Of: Journal of financial management of property and construction, 2018-10, Vol.23 (3), p.274-294
  • Description: Purpose The real estate sector in India has assumed growing importance with the liberalisation of the economy. Developments in the real estate sector are being influenced by the developments in the retail, hospitality and entertainment (e.g. hotels, resorts and cinema theatres) segment, economic services (e.g. hospitals, schools) and information technology-enabled services (such as call centres), and vice versa. This paper aims to study the determinants of capital structure by taking into account 125 major Bombay Stock Exchange (BSE) listed real estate companies selected on the basis of their market capitalisation. Design/methodology/approach To discover what determines capital structure, nine firm level explanatory variables (profitability-EBIT margin, return on assets, earnings volatility, non-debt tax shield, tangibility, size, growth, age debt service ratio and tax shield) were selected and regressed against the appropriate capital structure measures, namely, total debt to total assets, long-term debts to total assets, short-term debts to total assets, total liabilities to total liabilities plus equity, total debt to capital used and total debt to total liabilities plus equity. A sample of 125 real estate companies was taken and secondary data were collected. Consequently, multivariate regression analysis was made based on financial statement data of the selected companies over the study period of 2009-2015. Findings The major findings of the study indicated that profitability, size, age, debt service capacity growth and tax shield variables are the significant firm-level determinants. Research limitations/implications The present study is carried out by taking data of only 25 companies listed on the BSE and time period covered from 2009 from 2015. Time period and sample size may be limitations of the current study. Practical implications The present study is an empirical analysis of the determinants of leverage of real estate sector in India with most recent available data. Different regression equations have been formed to develop the models using firm-specific determinants and different measures of leverage or capital structure. Data were regressed using SPSS application software, and the resulting (or obtained) regression outputs are analysed. This study will help the Indian real estate companies to the know the impact of different variables while raising short-term and long-term loans. Social implications The current study will benefit all stakeholders of society who are fascinated to be acquainted with the financing of real estate companies and the factors affecting long-term and short-term financing of this sector. Specifically, public engrossed in different modes of investment and financial institution will be the prime gainers. Originality/value The present study has been completed using authentic data from the annual reports and database. This study uses explanatory variables and different measures of leverage which were limited in use in previous studies. Moreover, this research is a comprehensive study that deals with developing different regression models by using diverse measures of leverage.
  • Publisher: Bingley: Emerald Publishing Limited
  • Language: English
  • Identifier: ISSN: 1366-4387
    EISSN: 1759-8443
    DOI: 10.1108/JFMPC-01-2017-0002
  • Source: ProQuest Central
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