SAS Asset and Liability Management

Manage asset and liability risk, liquidity and balance sheet performance with an integrated ALM solution.

Asset and Liability Report Suite screenshot

What is SAS Asset and Liability Management?

SAS Asset and Liability Management is a cloud-native solution for managing asset and liability risk, liquidity risk and balance sheet performance. Its modular capabilities help banks and other financial institutions model and manage their balance sheet, assess risk and make informed decisions about assets, liabilities and liquidity.



What can you do with SAS Asset and Liability Management?

SAS Asset and Liability Management helps financial institutions manage balance sheet risks and make informed decisions about assets, liabilities and liquidity. With SAS, you can:

 

Manage interest rate risk and analyze earnings and economic value

Manage liquidity and funding risk

Model, forecast and stress-test the balance sheet

Support regulatory risk reporting


Key features

Expand beyond core ALM and liquidity risk management with enhanced, forward-looking interest rate risk measures and scenario-based balance sheet analytics.

Comprehensive ALM & liquidity risk analytics

Offers scenario-based ALM and liquidity risk management with both static and dynamic balance sheet assumptions.

Cloud-native ALM architecture

Provides scalable, resilient analytics with reduced maintenance overhead using a modular, microservices-based architecture.

Automated ALM analysis & reporting

Enables both ad hoc analyses and fully automated daily production runs with sophisticated error detection, process monitoring and calculation transparency for meeting regulatory requirements.

Flexible integration with risk models & cash flow systems

Provides a robust analytics architecture with built-in cash flow generation logic. Supports integration of open source, in-house proprietary, and third-party libraries and risk models.

Natural-language analysis with SAS Viya Copilot

Enables users to create, configure and analyze ALM runs using natural language. Compare and summarize EVE and NII results across reporting periods and scenarios, adjust risk factors and review run logs to identify warnings and errors.


Chartis RiskTech100® 2026 Awards

SAS ranks No. 2 overall – with seven category wins

Chartis RiskTech 100 2025 #2 Award logo
Chartis RiskTech 100 2025 AI in Banking Award logo
Chartis RiskTech 100 2025 Model Risk Management Award logo
Chartis RiskTech 100 2025 Balance Sheet Risk Management Award logo
2026 Chartis RiskTech100 SAS Enterprise Stress Testing
2026 Chartis RiskTech100 SAS Capital Optimization

SAS is ranked second overall in the world's foremost ranking of the Top 100 risk management and compliance technology providers. SAS also bested seven technology award categories, including AI for Banking, Balance Sheet Risk Management, Behavioral Modeling, Capital Optimization, Enterprise Stress Testing, IFRS 9 and Model Risk Management.


SAS Viya is cloud-native and cloud-agnostic

Consume SAS how you want – SAS managed or self-managed. And where you want.

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Recommended resources on SAS Asset and Liability Management

Blog

3 forces driving modern asset liability management strategies

Primer

Liquidity Risk: What It Is and Why It Matters

Press Release

SAS Helps Banks Tackle Risk in the Cloud



SAS Asset and Liability Management frequently asked questions

What is asset and liability management (ALM)?

Asset and liability management (ALM) is the process financial institutions use to manage the risks and performance of their assets and liabilities. ALM helps organizations assess and manage interest rate risk, liquidity risk and balance sheet risk while evaluating how changes in market, economic and behavioral conditions can affect financial performance.

What is SAS Asset and Liability Management?

SAS Asset and Liability Management is a cloud-native solution for financial institutions to manage balance sheet, interest-rate and liquidity risk under a unified asset and liability management framework. It integrates data management, cash-flow generation, risk analysis, stress testing and reporting to help organizations assess and manage financial risk.

What are the main benefits of using SAS Asset and Liability Management?

SAS Asset and Liability Management helps financial institutions:

  • Enhance balance-sheet visibility.
  • Automate complex ALM and liquidity risk tasks.
  • Reduce manual effort.
  • Improve governance and scalability.
  • Support regulatory and financial-risk requirements.

What kinds of risk does SAS Asset and Liability Management cover?

SAS Asset and Liability Management supports analysis of interest rate risk, liquidity and funding risk, earnings risk and economic value, along with scenario-based balance sheet analysis and stress testing. It also supports regulatory risk reporting, including measures such as Interest Rate Risk in the Banking Book (IRRBB), Liquidity Coverage Ratio (LCR) and Net Stable Funding Ratio (NSFR).

How does SAS Asset and Liability Management support balance sheet forecasting and scenario analysis?

SAS Asset and Liability Management supports both static balance sheet analysis and dynamic projections that model how the balance sheet can change under different market, behavioral and macroeconomic conditions. Organizations can use scenario-based simulations and business evolution assumptions to evaluate potential changes in balance sheet performance and financial risk.

How does SAS Asset and Liability Management support stress testing?

SAS Asset and Liability Management enables organizations to perform stress testing and simulations of the balance sheet under different market, macroeconomic and behavioral scenarios. These analyses can help financial institutions evaluate potential changes in risk, earnings and balance sheet performance under changing conditions.

Who typically uses SAS Asset and Liability Management?

SAS Asset and Liability Management is designed for banks, credit institutions and other financial organizations that need to manage asset and liability risk, liquidity risk and balance sheet performance. It supports activities such as balance sheet forecasting, risk analysis, stress testing, regulatory risk reporting and funds transfer pricing.