Modernizing Intraday Liquidity Optimization for Commercial Banks

FNA Papers Series

By Jérémie Feuillette, Dr Kimmo Soramäki (FNA) & Will Towning


Commercial banks are currently navigating a period of exceptionally difficult funding conditions; rising interest rates, the shift toward 24/7 instant payments, and competition from digital currencies have made liquidity both scarce and expensive. Traditional liquidity optimization practices—which rely on manual sweeps, payment throttling, and focus on longer regulatory horizons—generate significant operational risks, risk creating liquidity "cliff effects," and fail to materially reduce funding costs. To address these inefficiencies, this paper explores the deployment of advanced analytics and intelligent resequencing algorithms for real-time intraday liquidity optimization.

Modern intraday optimization algorithms replace manual oversight with continuous, intelligent sequencing of payments to minimize liquidity usage. By analyzing combinations of payments in a near real-time environment, these tools solve complex permutation challenges to operate with optimal liquidity levels. The proposed optimization approach outlines three key operational advantages:

  • Cost Reduction: To reduce liquidity usage by an average of 69%, approaching the efficiency of end-of-day net settlement without the severe legal and operational complexities associated with netting.

  • Risk Mitigation: To provide a more robust risk framework by lowering intraday liquidity peaks, which enables banks to substantiate reductions in their intraday stress buffers to regulators.

  • Treasury Transformation: To allow advanced treasury functions to move from being cost centers to profit centers by consistently operating with the optimal amount of liquidity throughout the day.

Ultimately, successfully modernizing intraday liquidity optimization requires foundational capabilities in collecting time-stamped payment data and processing it in real time. By adopting these practices, banks can build operational resilience, protect profitability, and maintain competitiveness amidst worsening macroeconomic conditions.

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Why does payment throttling fall short of liquidity optimization?