Asset Liability Management or ALM is a mechanism designed to address the risk faced by banks due to a mismatch between assets and liabilities, which arise either because of liquidity or because of ...
Chartis Research has named SAS a category leader in all six quadrants of its most recent analysis of the asset and liability management (ALM) market. This is the third consecutive year that SAS, a ...
usiness firms use a financial analysis technique called asset vs. liability management (ALM) to mitigate risk due to a mismatch in their assets and liabilities. A mismatch occurs when assets and ...
SAS-sponsored research by Celent reveals a financial industry shaken by recent bank failures and mobilizing to improve risk management practices and capabilities; June 28 virtual event offers more ...
If you are a student of finance studying ALM, the last few weeks must have been quite a perfect academic period to witness the SVB debacle unfold, as you mapped this use case to some of the written ...
Agam Capital (Agam), a trusted global platform for insurance analytics, announced today they have entered into an agreement with The Guardian Life Insurance Company of America ® (Guardian) to develop ...
Key market opportunities include the increasing demand for real-time liquidity analytics, AI-driven forecasting models, cloud-native platforms, and cross-entity liquidity visibility. The drive for ...
Ortec Finance’s GLASS platform enhances dynamic asset-liability management for institutional investors amid inflation and market volatility. With new liquidity risk modelling and machine learning ...
FIS Balance Sheet Manager wins award for "ALM Solution of the Year" at Risk Asia Awards 2025, solidifying FIS’ position as a trusted leader in asset and liability management (ALM) and treasury ...
Asset–liability management ALM is universally defined as a comprehensive analysis of the asset portfolio in light of current liabilities and future cash flows of a going-concern company, incorporating ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results