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Cardoso Makes Case for Transparent, Consensus-driven Monetary Policy at IMF Forum

Governor of the Central Bank of Nigeria (CBN), Olayemi Cardoso, has emphasised that credible monetary policy depends on informed committee deliberations, independent perspectives and clear communication of decisions to financial

Central Bank of Nigeria Governor Olayemi Cardoso stressed the importance of transparent, consensus-driven monetary policy at an International Monetary Fund (IMF) seminar in Bangkok. He explained how the Central Bank of Nigeria (CBN) has strengthened its Monetary Policy Committee (MPC) by providing external members with technical support, consulting independent specialists, and organising stakeholder retreats to allow diverse economic perspectives.

Cardoso emphasised the bank's practice of publishing individual MPC members' policy statements for greater transparency, reviewing the statements to understand different assessments in committee deliberations. He detailed the CBN's approach to committee decision-making, where leaders first identify areas of agreement before addressing disagreements, to maintain focus on broader economic questions.

The IMF discussion highlighted how central banks can foster rigorous debate while preserving coherence. Swiss National Bank Governor Martin Schlegel and Banque de France Governor Emmanuel Moulin shared their experiences, with Schlegel describing the bank's board examining policy options' merits and disadvantages before consensus, and Moulin emphasising inclusive deliberations and shared monetary policy frameworks.

Nigeria's September MPC meeting, where a 350-basis-point interest rate reduction was agreed upon, illustrated the effectiveness of the CBN's approach. Despite initial surprise in financial markets, the decision was absorbed without significant disruption, attributed to the CBN's clear communication and credibility. The seminar also addressed the role of artificial intelligence in interpreting central bank statements, with the IMF developing AI tools for real-time analysis.

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