Pychometric Credit Scoring for the Developing World

Posted on April 27, 2017August 5, 2019 by George Alex Popescu Leave a comment

The majority of the developing world population makes little use or no use of financial services. Accenture estimates that only 70 percent of microenterprises in an emerging country like India use bank accounts while only 5 percent use products like term loans, and a paltry 1 percent have working capital loans from banks. In similar emerging markets, lenders find it difficult to make credit decisions due to weak coverage of credit rating agencies. On average, only 10 percent have credit scores.

One company that understands the riches lying at the bottom of the pyramid is Entrepreneurial Finance Lab (EFL GLOBAL). EFL helps lenders capture untapped markets by delivering credit scoring technology tailored for such markets.

How EFL Uses Psychometrics to Determine Credit Risk

EFL Global is a pioneer in psychometric credit scoring and was founded in 2010 by Dr. Bailey Klinger and Dennis (DJ) DiDonna. The company is headquartered in Miraflores, Lima, Peru.

Dr. Klinger is executive chairman. Prior to co-founding EFL, he served as a senior advisor and consultant to various government and multilateral institutions. DiDonna is chief strategy officer. Previously, he worked at MCM Strategic Data and Angie’s List as a technology entrepreneur with a background in sales and operations management.

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New Asset Level Disclosure (ALD) requirements for public US securitizations

Posted on April 25, 2017August 5, 2019 by George Alex Popescu Leave a comment

Introduction

Over the past four months, we’ve had extensive conversations with ABS market participants to discuss the new Asset Level Disclosure (ALD) requirements for public US securitizations. We discovered that many market participants have been overwhelmed with the volume of loan-level data and are at a loss on how they can readily derive value from it. In the following research piece, we answer commonly asked questions and provide guidance for incorporating ALD data into the investment process.

Specifically, we highlight the need for participants to (1) access standardized ALD data on-demand in an easily digestible and consistent manner, (2) unlock complex relationships and insights within and across securitization trusts, and (3) develop benchmarks for performance.

What is the scale of the data and how does one access it? By December 2017, we project there will be ~100 securitization trusts with over 34GB of data for just the auto-loan, auto-lease, and CMBS verticals. Given the data size and update frequency, we believe the market needs a centralized hub so users can access it easily in a consistent, clean format that has cash flow-specific fields.

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