The Evolving Treasury Landscape – Where Challenge Meets Opportunity

Article

CeFPro’s recent Treasury ALM USA conference revealed the unparalleled complexities facing treasury and risk professionals, driven by the Trump administration's fiscal policies, geopolitical tensions, and evolving regulations. Key discussions highlighted the necessity for real-time scenario analyses, the impact of transitioning from LIBOR to SOFR on bank balance sheets, and the transformative role of AI, machine learning, and blockchain in asset-liability management.

Apr 08, 2025

Andreas Simou, Managing Director, Center for Financial Professionals

Tags: ALM, Treasury and Liquidity Risk

The Evolving Treasury Landscape – Where Challenge Meets Opportunity

The views and opinions expressed in this content are those of the thought leader as an individual and are not attributed to CeFPro or any other organization

Treasury and risk professionals face unprecedented complexities due to current fiscal policies and geopolitical tensions.
Institutions are adopting real-time stochastic scenario analyses to navigate economic uncertainties.
The Federal Reserve's slowed quantitative tightening and repo market volatility signal potential liquidity stresses.
Transition from LIBOR to SOFR shifts risk onto bank balance sheets, necessitating robust risk management strategies.
High-Quality Liquid Asset (HQLA) requirements have elevated collateral optimization to a critical, resource-intensive function.
AI and machine learning are essential for advanced behavioral modeling and real-time risk assessment.
Blockchain technology is revolutionizing collateral management through tokenized assets and real-time settlements.
Liquidity is now viewed as a strategic asset, with intraday visibility becoming crucial for competitive advantage.
Regulatory scrutiny is intensifying, demanding more sophisticated interest rate risk models and detailed deposit analytics.
Legacy systems pose challenges; modern technological infrastructures are vital to meet real-time demands in ALM.

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