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Intelligent Liquidity Optimization: Helping banks cut through the headwinds from SVB’s collapse and future liquidity crises
In the wake of recent banking sector volatility, FNA demonstrates how Intelligent Liquidity Optimization (ILO) allows banks to safely reduce intraday buffers and unlock billions in unrealized revenue through real-time stress testing and network science.
Modernizing Intraday Liquidity Optimization for Commercial Banks
Commercial banks are currently facing exceptionally difficult funding conditions where traditional, manual intraday liquidity management falls short. By deploying advanced, real-time payment resequencing algorithms, banks can significantly reduce liquidity usage and costs, potentially transforming treasuries into profit centers.
Why does payment throttling fall short of liquidity optimization?
FNA’s Jeremie Feuillette breaks down the limitations of mechanical payment throttling and demonstrates how Intelligent Liquidity Optimization (ILO) achieves 50% liquidity savings without the risk of system gridlock.
The Power of Payments Data
FNA explores three pivotal use cases for payments data—stress testing, liquidity monitoring, and supply chain analytics—to transform 'ordinary financial plumbing' into a powerful tool for global economic stability.
FNA reveals “powerful liquidity savings” Generated by CHIPS Settlement Algorithm
FNA’s independent review of CHIPS confirms its 'extreme efficiency' in liquidity usage, demonstrating how advanced simulation can validate economic cost savings in high-value settlement systems.
Liquidity Management: A New Challenge for Banks
FNA President Phillip Straley writes for International Banker, explaining what actions banks can take to solve liquidity challenges.
With Rishi Sunak in power, are we more likely to see a ‘Britcoin’?
Carlos León , Director, Financial Market Infrastructures & Digital Currencies Solutions at FNA, writes for Payment Expert on the likelihood of a British cryptocurrency.
FNA Joins Episode 2 of the DEA’s TechyTuesday Series
The Digital Euro Association’s Valentin Seehausen and Tamara F Schmidt interview Dr Carlos León and José Fernando Moreno Guitiérrez in episode 2 of the DEA’s series, TechyTuesday. Together, Carlos and José presented FNA’s CBDC Simulation solution, highlighting the importance of CBDC simulation for designing a better CBDC.
The Bank of England’s settlement engine is getting swapped out soon. Is the market ready?
The Bank of England is preparing to replace its 26-year-old core settlement engine, but adapting to this new landscape will require fundamental behavioral shifts from participating banks. In a recent article for The Stack, FNA Founder & CEO Kimmo Soramäki explains why system-wide simulations are essential for coordinating these changes and optimizing liquidity.
Payments Canada Case Study
To ensure a smooth transition to its new RTGS system, Lynx, Payments Canada partnered with FNA to build a comprehensive Digital Twin. By simulating various system configurations and participant behaviors, the project successfully optimized liquidity savings and fully prepared the market for launch.
FNA Loan Data Analytics- Interbank Lending Networks
FNA recently partnered with the BIS Innovation Hub and the Monetary Authority of Singapore to develop an advanced loan data and analytics platform prototype. This solution equips regulators with powerful network analytics to visualize interbank lending, stress test contagion scenarios, and assess systemic credit risks.
Financial Cartography
Traditional geographic maps are no longer sufficient to navigate the complex, borderless threats of the modern global economy. To manage these interconnected systems, "Financial Cartography" proposes mapping the hidden networks of global trade, financial markets, and critical infrastructures to visualize systemic risks and empower rapid, data-driven decision-making.The Digital Operational Resilience Act (DORA) expands European financial regulation to explicitly cover third-party ICT and cloud service providers. By mapping these critical technological interdependencies, regulators and institutions can better visualize, simulate, and mitigate the severe systemic risks posed by cloud concentration.