Stay ahead of the game…
Regulations continually getting tougher and tighter; financial models becoming more complex by the minute; staying ahead of the game and market. In the face of these challenges, financial analysts need to have complete confidence in the accuracy and speed of their financial calculations.
Many of the world's most prominent and respected finance houses and institutions rely on NAG’s mathematical and statistical software components for their numerical applications because of the quality and accuracy the software gives to their work.
By utilizing NAG’s software in financial modeling critical business applications can be built more quickly, essential in today’s ever changing and volatile markets. And by embedding NAG software within financial applications, analysts and software engineers are able to spend more time in other areas of their work, and so ultimately improve productivity and time management.
Areas of Use
NAG’s extensive mathematical and statistical software can help bring quicker solutions in many areas including:
- Portfolio Optimization
- Quantitative Analysis
- Risk Management
- Trend Forecasting
- Portfolio Enhancement
- Index Tracking
- Derivative Pricing
More detailed information is provided on how users can benefit from NAG components in areas such as portfolio-modeling and index-tracking, derivative pricing, and visualization.
Features & Benefits
|Business Benefits||Key Features|
|Speed up application development||Thread Safety|
NAG has produced a collection of thread-safe routines allowing developers of multi-threaded applications to have complete confidence in the product.
The structure of NAG’s software enables you to employ some of the world’s most widely used numerical algorithms, whatever your application or program – C/C++, Excel, VB, Java, Delphi, etc.
NAG’s software is available across a wide range of machines – whether you use a PC, workstation or an HPC system.
Each routine in the software is tested on each of the machine ranges for which the software is available. Only when an implementation satisfies our stringent accuracy standards is it released.