IDEAS home Printed from https://ideas.repec.org/a/ids/ijelfi/v9y2018i2p121-133.html
   My bibliography  Save this article

Inclusion of peer group and individual low-income earners in M-Shwari micro-credit lending: a hidden Markov model approach

Author

Listed:
  • Davis Bundi Ntwiga
  • Carolyne Ogutu
  • Michael Kiura Kirumbu

Abstract

The M-Shwari micro-credit lending system has excluded the low income earners as they lack good financial options due to volatile and fluctuating income. This paper proposes a decision support system for credit scoring and lending of the low income earners who are customers of M-Shwari using the hidden Markov model. The model emits the credit scores of the customers, both for the peer groups and the individual customers. The learning and training of the model utilises the customers' socio-demographics, telecommunication characteristics and account activities. The peer groups have higher credit scores and are more attractive to offer credit facilities using M-Shwari when compared to the individual borrowers.

Suggested Citation

  • Davis Bundi Ntwiga & Carolyne Ogutu & Michael Kiura Kirumbu, 2018. "Inclusion of peer group and individual low-income earners in M-Shwari micro-credit lending: a hidden Markov model approach," International Journal of Electronic Finance, Inderscience Enterprises Ltd, vol. 9(2), pages 121-133.
  • Handle: RePEc:ids:ijelfi:v:9:y:2018:i:2:p:121-133
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=92195
    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.

    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:ids:ijelfi:v:9:y:2018:i:2:p:121-133. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=171 .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.