IDEAS home Printed from https://ideas.repec.org/a/eme/jespps/v38y2011i6p703-724.html
   My bibliography  Save this article

Distinctive demand and risk characteristics of residential housing loan market in India

Author

Listed:
  • Arindam Bandyopadhyay
  • Asish Saha

Abstract

Purpose - The primary objective of the paper is to demonstrate the importance of borrower-specific characteristics as well as local situation factors in determining the demand prospect as well as the risk of credit loss on residential housing loan repayment behavior in India. Design/methodology/approach - Using 13,487 housing loan accounts (sanctioned from 1993-2007) data from Banks and Housing Finance Cos (HFCs) in India, this paper attempts to find out the crucial factors that drive demand for housing and its correlation with borrower characteristics using a panel regression method. Next, using logistic regression, housing loan defaults and the major causative factors of the same are examined. Findings - In analyzing the housing demand pattern, some special characteristics of the Indian residential housing market (demographic and social features) and the housing loan facility structure (loan process, loan margin, loan rate, collateral structure etc.), that have contributed to the safety and soundness of the Indian housing market have been deciphered. The empirical results suggest that borrower defaults on housing loan payments is mainly driven by change in the market value of the property Originality/value - This study contributes on the micro side of the housing market in India, since it uses unique and robust loan information data from banks and HFCs. The empirical results obtained in this paper are useful to regulators, policy makers, market players as well as the researchers to understand housing market demand and risk characteristics in an emerging market economy such as India.

Suggested Citation

  • Arindam Bandyopadhyay & Asish Saha, 2011. "Distinctive demand and risk characteristics of residential housing loan market in India," Journal of Economic Studies, Emerald Group Publishing, vol. 38(6), pages 703-724, November.
  • Handle: RePEc:eme:jespps:v:38:y:2011:i:6:p:703-724
    as

    Download full text from publisher

    File URL: http://www.emeraldinsight.com/10.1108/01443581111177402?utm_campaign=RePEc&WT.mc_id=RePEc
    Download Restriction: Access to full text is restricted to subscribers

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dorfleitner, G. & Just-Marx, S. & Priberny, C., 2017. "What drives the repayment of agricultural micro loans? Evidence from Nicaragua," The Quarterly Review of Economics and Finance, Elsevier, vol. 63(C), pages 89-100.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eme:jespps:v:38:y:2011:i:6:p:703-724. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Virginia Chapman). General contact details of provider: http://www.emeraldinsight.com .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.