SAS ALM: Manage Liquidity and Interest Rate Risks

SAS SAS
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Advanced


This Course is designed for students at the Advanced level.

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SAS Asset and Liability Management (ALM) provides financial institutions with the tools to manage interest rate and funding liquidity risks effectively. By generating both contractual and behavioral cash flows for interest-bearing accounts and instruments, SAS ALM enables precise risk assessment and strategic decision-making. This solution is ideal for risk and business analysts tasked with navigating the complexities of financial portfolios and ensuring regulatory compliance.

Participants will explore SAS ALM’s powerful workspaces for creating risk scenarios, shock sets, and cash flow generators. The course guides users through the process of importing business evolution plans and viewing detailed portfolio structures. Analysts will gain hands-on experience running calculations and generating insightful reports, helping them stay ahead in today’s volatile financial environment.

This course also emphasizes the integration of SAS Viya applications for seamless data loading and management. Through tools like the SAS Risk Scenario Manager and SAS Portfolio Viewer, analysts can visualize risk exposure, manage portfolios, and ensure alignment with their organization’s strategic objectives. Additionally, the course covers building cash flow maps and executing analyses to identify risks and opportunities effectively.

Prerequisites include a basic understanding of cash flow generation and present value calculation. While familiarity with SAS Viya and programming is advantageous, it is not mandatory. By the end of this course, participants will be adept at leveraging SAS ALM to create risk scenarios, evaluate portfolios, and generate actionable reports.

SAS ALM is an essential resource for financial institutions aiming to optimize liquidity and interest rate risk management strategies. Empower your team with the knowledge to harness its full potential and drive impactful outcomes.


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Subject: Technology
Domain: Data
Mode: Online
Track: Self-paced
Labs: No Labs
Product: Analytics
Duration: 7.0 hours
Record: Credly
Provider: SAS
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