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Algorithmics and IBM Platform Computing Solution for Financial Markets
In the wake of the financial crisis, banks are investing to improve their risk management infrastructure.
Many have found that spreading the computational demands of advanced risk analytics across a grid computing environment enables them to:
- Cost-effectively perform Monte Carlo risk simulations for their largest trading counterparties in a few minutes
- Execute what-if risk profiles in milliseconds for pre-deal analysis on the trading room floor
- Comply with post-crisis regulations such as Basel III and adapt to meet evolving requirements
- Maximize returns while mitigating potential losses
- And more.
Access this resource to learn best practices for implementing this type of advanced risk management architecture. Discover the advantages of combining the analytics software that seventy of the world's leading 100 banks have turned to with the cluster and grid middleware technology that twelve of the top twenty banks rely on to run large scale analytics.