JOURNAL ARTICLE
A New Model to Expand Credit Access Globally: How predictive cash flow modeling could help provide credit to the more than 130 million businesses and 1.4 billion individuals who lack access.
Published In: Harvard Business Review Digital Articles, 2024. P. 1 1 of 3
Database: Business Source Ultimate 2 of 3
Authored By: White, Olivia; Wiegand, Michael 3 of 3
Abstract
This article discusses the issue of limited access to credit in developing countries, where over 130 million businesses and 1.4 billion individuals lack access to credit. The high costs and complexity of providing credit in these markets have resulted in limited access. The article proposes the use of predictive cash flow modeling (PCM) as a solution to assess individuals' ability to repay loans, even with limited data. PCM involves using statistical models to forecast income and expenses for specific population segments, allowing lenders to determine the appropriate amount of credit to offer. The article suggests that PCM could significantly expand credit access to those who are currently excluded. [Extracted from the article]
Additional Information
- Source:Harvard Business Review Digital Articles. 2024/09, p1
- Document Type:Article
- Subject Area:Business and Management
- Publication Date:2024
- Accession Number:179978652
- Copyright Statement:Copyright 2024 Harvard Business Publishing. All Rights Reserved. Additional restrictions may apply including the use of this content as assigned course material. Please consult your institution's librarian about any restrictions that might apply under the license with your institution. For more information and teaching resources from Harvard Business Publishing including Harvard Business School Cases, eLearning products, and business simulations please visit hbsp.harvard.edu. (Copyright applies to all Abstracts.)
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