Banks will increasingly be expected to base lending decisions, especially the interest rates charged on loans, on detailed borrower behaviour, following a directive by the Bank of Ghana (BoG) expanding participation in the country’s Credit Reporting System (CRS).
The move signals that lenders can no longer take the easy route in assessing borrowers, as the expanded pool of credit data now available through the system is expected to help banks build clearer risk profiles and translate those assessments into interest rates that reflect each customer’s financial behaviour.
In a notice, the central bank reiterated that a broader category of institutions must now participate in the credit reporting framework in line with the Credit Reporting Regulations, 2020 (L.I. 2394).
The directive requires telecommunications companies, utility providers, retailers, mobile money operators, financial technology companies, student loan schemes, and government institutions that extend credit to micro, small and medium enterprises to participate in the credit reporting system and share relevant credit data.
According to the central bank, the Credit Reporting System is designed to promote the sharing of credit information between lenders and other authorised users, allowing institutions to obtain details on the credit behaviour and repayment history of individuals before establishing credit relationships.
The Bank of Ghana noted that credit information sharing benefits both lenders and borrowers, as it enables creditors to better assess the credit risk of each borrower while allowing responsible borrowers to build credible financial profiles.
The expansion of institutions feeding into the credit reporting system is expected to significantly deepen the pool of information available to lenders when evaluating customers.
Beyond traditional bank borrowing records, the credit bureaus may now capture a broader range of financial behaviour, including utility payments, telecommunications bills, instalment purchases, student loans and other recurring financial obligations that reflect a person’s repayment discipline.
The development effectively means banks can no longer take the easy route when assessing borrowers.
With richer data now available through credit reference bureaus, lenders are expected to go beyond general assumptions about borrower risk and instead analyse the specific financial behaviour of each individual before determining lending terms.
In practice, this means banks should no longer “lazy out” by applying broadly similar interest rates to borrowers with very different financial histories.
Instead, lenders can use the expanded credit data to build more accurate risk profiles and translate those risk assessments into loan pricing that reflects the individual borrower.
Individuals with strong repayment records and consistent bill payments could therefore be classified as lower-risk borrowers and potentially benefit from more favourable lending terms and lower interest rates.
Conversely, borrowers with weaker credit histories may face higher borrowing costs or tighter access to credit as their risk profile becomes clearer within the system.
The shift also reflects a gradual move toward risk-based lending, where the cost of borrowing is increasingly tied to measurable financial behaviour rather than a generalised approach to credit pricing.
In the past, some financial institutions were reluctant to obtain full credit reports from bureaus, partly due to the cost of accessing the data and partly because the range of available information was relatively limited.
However, with the expanded credit reporting framework now capturing data from a wider ecosystem of institutions, lenders have far greater visibility into the financial behaviour of potential borrowers.
The richer data environment now available means banks will be expected to step up their credit assessments by actively obtaining and analysing information from credit bureaus, rather than taking the easy route.
With broader borrower data at their disposal, lenders can better determine individual risk profiles and translate those assessments into interest rates that more accurately reflect each borrower’s financial behaviour.
