The Central Bank of Nigeria has introduced the Nigerian Overnight Financing Rate (NOFR), a new benchmark designed to improve transparency and pricing in the financial system by providing a clearer view of actual interbank lending costs. Developed in collaboration with the Financial Markets Dealers Association and supported by the European Bank for Reconstruction and Development, the rate is based on real overnight lending transactions between commercial banks.
NOFR replaces earlier reliance on proxies such as Treasury bill rates, which often reflected government borrowing costs rather than true market liquidity conditions. By using transaction‑based data, the new benchmark offers a real‑time, accurate picture of funding costs, enabling banks to price loans more efficiently and policymakers to assess liquidity risks with greater precision. The move aligns Nigeria with global financial reforms that replaced subjective benchmarks like LIBOR with objective, trade‑based rates following manipulation scandals.
Early data show NOFR averaging about 22 per cent, with strong transaction volumes indicating market acceptance and stability. Analysts say the new rate could strengthen monetary policy transmission, as the CBN can now observe how its policy rate decisions flow through to actual overnight lending costs. This improved signal could help anchor inflation expectations and guide commercial banks in setting lending rates for businesses and households.
From a market confidence perspective, the introduction of a transparent, transaction‑based benchmark reduces information asymmetry and enhances Nigeria’s credibility with international investors. Foreign portfolio investors, who fled during the foreign exchange crisis, have begun returning following the Frontier Market reclassification, and a more transparent financial infrastructure supports their due diligence. While the NOFR is a technical reform, its successful implementation could contribute to lower borrowing costs over time by reducing the risk premium that lenders build into their pricing models.
