In developing economies, the key to socio-economic growth is access to finance, but the challenge is to increase loans to individuals and SMEs without suffering the fall-out of bad debt.
The Central Bank of Nigeria (CBN) increased the minimum loan-to-deposit ratio (LDR) of commercial banks from 60 percent to 65 per cent in the latter part of 2019. According to a Bloomberg (https://bloom.bg/37sFNdX) report, the measure was among a raft of regulations aimed at forcing banks to boost credit, mainly to farmers, small-and-medium-size businesses and consumers.
The loan-to-deposit ratio (LDR) is used to assess a bank's liquidity (https://bit.ly/2NOzZ6A) by comparing a bank's total loans to its total deposits for the same period. The LDR is expressed as a percentage. If the ratio is too high, it means that the bank may not have enough liquidity to cover any unforeseen fund requirements. Conversely, if the ratio is too low, the bank may not be earning as much as it could be earning.
According to the report, Nigeria’s banks are some of the most reluctant lenders in major emerging markets, with an average loan-to-deposit ratio below 60%. That compares with 78% across Africa, according to data compiled by Bloomberg, with 90% in South Africa and about 76% in Kenya. Compare this with developed markets such as the UK, which according to Statista.com (https://bit.ly/36cPcEJ), states that Shawbrook Bank's loan to deposits ratio on the British market between 2012 and 2016 increased from 74 percent in 2012 to 102.7 percent as of 2016.
The Director General, Lagos Chamber of Commerce and Industry (LCCI), Mr. Muda Yusuf, had stated that the greatest challenge business operators in the country have been facing over the years was access to credit, which he said had resulted to huge financing gaps.
In order to expedite this Loan to Deposit Radio, new digital banks and progressive lending institutions in emerging economies are looking at using technology to expedite the process, such as digital scoring methods based on Artificial Intelligence and Machine Learning, where smartphone device metadata solutions, such as offered by CredoLab and other providers, is used to assess credit-worthiness instead of traditional methods.
Tarun Kumar Kalra, Global Head of Sales at CredoLab cited a successful example in Indonesia, which has one of the largest pool of unbanked customers in the world. One of the top 10 Indonesian banks serving over 2 million customers wanted to leverage the opportunities in this pool of unbanked customers. The bank had a comprehensive array of products and services being delivered through physical branches, mobile and web banking.
The bank’s mandate was to increase the number of loans it disbursed to the new-to-bank (NTB) customers by using an underwriting process that was fair to the applicants and yet highly predictable of their behaviour,” he said.
There were several challenges, such as increasing approval rates, 85% of the applicants being rejected and the low predictability of existing underwriting process,” he added. “The bank solved this problem by introducing digital scorecards based on smartphone device data, which led to a +107% approval rate, a user adoption of 61% and an average of 5 seconds to approve the application.”
Kalra said that what’s noteworthy in the deployment of this solution was the short period of 2 weeks that it took for the bank to implement the new credit scoring system, as there were no development time or costs, while at the same time meeting local data security and privacy laws and regulations.
Asked about the uptake of digital smartphone metadata credit scoring methodology, Kalra responded that over 61 lending institutions have adopted CredoLab’s technology across emerging economies in the Asia Pacific region.
“With our launch into Africa, specifically in South Africa, Nigeria and Kenya last year, we already have 3 major traditional and digital banks leveraging the technology in South Africa. Financial institutions in Nigeria and Kenya are investigating this technology as a secure and sustainable way of expanding credit into the unbanked markets, and raising banks’ Loan to Deposit Ratio while minimising risk,” he concluded.
Distributed by APO Group on behalf of CredoLab.
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Alex van Essche
CredoLab (https://www.Credolab.com/) develops bank-grade digital scorecards for banks, consumer finance companies, auto lenders, online and mobile lenders, insurance companies, and retailers from the best alternative data source – smartphone device metadata.
Built on over 18 million loan applicants across 61+ lending partners, CredoLab’s AI-based algorithm crunches nearly 10 million features from opt-in smartphone metadata to find the most predictive behavioural patterns before converting them into credit scores. These enable any lender to make the most granular assessments possible of their applicants. Their clients have seen 20% higher new to bank customer approvals, a 15% reduction in non-performing loans, and a 22% dip in fraud rate.
Established in Singapore in 2016, CredoLab has powered almost USD 1 Billion in loans issued after analysing about 1 trillion data points across 19 countries. The company is backed by Fintonia Group, FORUM, and Walden International. In November 2019, CredoLab was announced as the winner of the ASEAN fintech award by the Monetary Authority of Singapore (MAS) and the Association of Banks in Singapore (ABS).
About Tarun Kumar Kalra:
Kalra brings a diverse and unique blend of technology innovation and financial services expertise built over 19 years of experience with leading technology companies like Cisco, Infosys, Mphasis (HP), HCL and Nucleus software. A global sales executive with strong emphasis on business expansion, he has worked closely with clients in the financial services industry helping them stay relevant and agile in this digital era. A financial markets enthusiast, Kalra has a Masters in International Finance from the London School of Economics, and an MBA in Finance from India.
Tarun Kumar Kalra, Global Head of Sales at CredoLab