When an individual applies for a mortgage, a consumer loan, or when a company seeks financing to expand its business, the bank's decision is never based solely on the amount requested or the existing business relationship with the client. Before granting any credit, the institution seeks to answer a fundamental question: will the borrower be able to repay their debt on the scheduled dates?

This question is central to the banking profession. A loan is, in effect, a bet on the future. The bank is mobilizing resources today, hoping to recover its money in several months or years. A miscalculation can result in financial losses, while an overly restrictive lending policy can hinder the financing of the economy. The challenge, therefore, lies in finding a balance between risk-taking and prudence.

The analysis typically begins with an examination of the borrower's financial situation. For a household, the bank considers income, job stability, recurring expenses, existing debt, and the ability to handle unexpected expenses. For a business, the assessment focuses more on financial statements, profitability, cash flow, business prospects, and debt structure.

Financial statements play a central role in this analysis. A company applying for an investment loan will generally need to provide its balance sheets, income statements, and cash flow statements. These documents allow the bank to assess its ability to generate sufficient revenue to meet its future obligations.

Several indicators are then examined. Profitability, self-financing capacity, debt levels, and available cash are among the most closely monitored. A company can show high revenue while experiencing cash flow difficulties if its customers pay late or if its expenses increase faster than its revenue.

This analysis has become increasingly rigorous since the various financial crises of recent decades. According to the World Bank, non-performing loans still represent several hundred billion dollars in the banking systems of emerging and developing countries. For banks, managing credit risk therefore remains one of the main conditions for their financial stability.

Within the WAEMU, banks operate under the supervision of the BCEAO and the WAEMU Banking Commission. These institutions must comply with prudential rules that require them, in particular, to properly assess the risks associated with the loans they grant. These requirements have been strengthened with the gradual adoption of standards inspired by the Basel Accords.

A client's credit history is also a determining factor. A company or individual who has previously met their financial obligations generally inspires more confidence than a borrower with a history of repeated payment defaults. In several countries, credit bureaus allow banks to review their clients' existing debt levels before making a decision.

The BCEAO thus manages a Central Credit Register that collects information relating to bank commitments declared within the Union. This system allows financial institutions to obtain a more complete view of the indebtedness of certain borrowers and to limit situations where the same client accumulates loans with several banks without the latter being aware of it.

Guarantees also play an important role in the analysis. When a loan is granted, the bank may require collateral to reduce its exposure in the event of default. This could take the form of real estate, business equipment, a security deposit, or a guarantee.

In several African economies, the issue of collateral is one of the main obstacles to access to credit for small and medium-sized enterprises (SMEs). According to the International Finance Corporation (IFC), the World Bank Group's private sector arm, the financing gap for African SMEs amounts to several hundred billion dollars. Part of this difficulty stems from the lack of collateral deemed sufficient by lending institutions.

However, banks no longer rely solely on traditional financial documents. The sector's digitization is gradually transforming risk assessment methods. In several African countries, financial institutions and some fintech companies are now leveraging data related to electronic payments, mobile money flows, and transaction behavior to refine their analyses.

This trend is particularly visible in East Africa, where several digital lending platforms use mobile transaction histories to assess the creditworthiness of customers who may not have traditional bank statements. In West Africa, this trend is also growing with the expansion of digital financial services.

Statistical models are playing an increasingly important role in lending decisions. Banks use internal scoring systems that assign a probability of default to each borrower. These tools rely on the analysis of thousands of past loan files to identify characteristics associated with regular repayments or defaults.

According to BCEAO data, loans to the economy in the WAEMU exceeded 23 trillion CFA francs in 2024. At this scale, even a slight deterioration in the quality of the loan portfolio can have significant consequences for the profitability and soundness of the banking system. Institutions are therefore investing heavily in improving their analytical tools.

The economic climate also plays a role. A company operating in a high-growth sector is not valued in the same way as a company in an industry facing persistent difficulties. Banks therefore closely monitor sectoral developments, national economic outlooks, and risks that could affect certain markets.

The agricultural sector provides a telling example. In several WAEMU countries, producers' incomes remain heavily dependent on weather conditions. A bank financing agricultural activity must therefore incorporate additional parameters related to rainfall, yields, and commodity price fluctuations.

Granting credit thus appears to be a far more complex process than simply verifying income or turnover. Behind each decision lie financial analyses, historical data, sector assessments, risk models, and guarantee mechanisms designed to measure the borrower's actual repayment capacity. This assessment directly influences access to financing, the cost of credit, and, more broadly, the ability of households and businesses to invest and develop their projects.