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Fiserv IPS-Sendero ERM
Asset/Liability Management RESOURCES

The banking book is not static. Every day, there is an inflow of funds from depositors and market activities. Every day there is an outflow of new lending, whether consumer, commercial, corporate or market related. Management of the banking book therefore requires a decision support solution that not only determines static risk positions, but dynamically simulates future risks and rewards, based on business already written and new business that will arise from normal banking operations.

Fiserv IPS-Sendero provides multi-period simulation models that allow you to project your balance sheet, income statement and margin through time. They quantify the impact of alternateAsset/Liability Management management strategies under different economic and rate scenarios. From simple measures of exposure such as gap reports and parallel rate shocks, through to sophisticated probability-based sensitivity measures such as option-adjusted earnings at risk and option-adjusted value-at-risk, Fiserv IPS-Sendero ALM solutions provide the risk-reward answers to support strategy development for balance sheet hedging, product pricing and product mix.

If your focus is income/margin management, planning and forecasting, IPS-Sendero A/L will enable you to measure the sensitivity of two key ALM target measures – net interest income and economic value of equity – under different deterministic and stochastic rate scenarios. IPS-Sendero A/L provides a clear framework for decision-making by incorporating the impact of all the components that drive an institution’s risk profile.

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If you have an enterprise-wide risk management perspective, IPS-Sendero KRM fully integrates ALM with market risk, credit risk, liquidity risk, Basel II and IAS 39 in a single piece of software.  The integration allows correlations between risk factors to be taken into consideration and the evolution of risk factors modelled through the economic cycle. Credit-adjusted income simulation and balance sheet VAR will take your ALM analysis to the next level.

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Case Study: United Overseas Bank

Case Study: Caixa Catalunya

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