Portfolio modeling, stochastic valuation reporting, risk analysis, and asset liability management are among the areas where QLogic’s products can speed analysis and improve critical decision-making in the financial industry.

For banks, insurance companies, asset management firms, or any institution involved in investing or providing financial services, the business is all about making money, and making money in the financial markets means managing risk and time effectively.

The ability to move quickly is critical for companies who want to bring superior benefits to clients. Whether choosing between optimal investment decisions or hedging positions, faster access to more precise risk analytics can ensure higher quality decision-making.

By helping to accelerate data processing and analysis, QLogic’s solutions bring tremendous value to the financial services arena where valuations, risk assessments, and modeling of large portfolios can take excessive amounts of compute resources and time.

Expand Scope of Research and Analysis

By utilizing QLogic interconnect solutions, customers can build higher performing compute clusters and increase the precision of results by increasing the number of paths in Monte Carlo simulations and add newer, broader levels of stochastic modeling.

Improve Decision-Making

With a high performance QLogic interconnected compute cluster, financial services companies can dramatically reduce the time it takes to value portfolios of complex financial instruments or assets, manage risk using VAR analysis, and enhance ALM modeling.

Reduce or Eliminate Costs

By better leveraging cluster compute and storage resources, financial services companies utilizing QLogic solutions can reduce the costs and complexities associated with deploying and operating their data centers. QLogic solutions enable the deployment of grid computing architectures that support the pooling of compute and storage resources across multiple financial product teams for better overall utilization of networking assets.