INDUSTRY SOLUTIONS FOR FINANCE AND ECONOMICS

FINANCIAL RISK MANAGEMENT

Rapidly develop and test robust financial risk models and deploy them as interactive applications or as high-performance infrastructure components—all from one system, with one integrated workflow.

The Mathematica financial risk management solution is unique in offering the reliability of a mixed symbolic-numeric approach to computation, multiple switching algorithms, built-in computable financial and economic data, and built-in parallel computation for scaling up.
Using built-in financial data in standard or innovative visualizations
Candlestick plot and volume traded for Google over a 100-trading-day period
KEY CAPABILITIES
WHY CHOOSE MATHEMATICA
WAYS TO USE
KEY CAPABILITIES
WHY CHOOSE MATHEMATICA
WAYS TO USE
  • Compare Mathematica to your current tools. Do they have these advantages?

  • Develop, analyze, test, document, and deliver custom models in a fraction of the time needed with other systems
  • Get accurate results with fully automated precision control and arbitrary-precision arithmetic »
    Competitor note: All systems relying on machine arithmetic, such as Excel or Matlab, become inaccurate
  • Gain accuracy and reliability by performing symbolic calculations, not just numeric ones
    Competitor note: Matlab's built-in routines only handle numeric calculations
KEY CAPABILITIES
WHY CHOOSE MATHEMATICA
WAYS TO USE
  • Work with your existing Bloomberg feeds, RiskMetrics data, and with QuantLib libraries and link to other data and applications with built-in connectivity tools
  • The world's largest market maker in Eurodollar derivatives uses Mathematica for rapid prototyping of products and trading strategies
  • Hedge funds use Mathematica for portfolio optimization
  • Backtest trading strategies to check viability or stress test models to account for extreme market changes
  • One major stock index is computed in real time using Mathematica
  • Develop and refine analytic models for risk
  • Calculate value-at-risk for different portfolios and time horizons
  • Do straight-through processing, from the trade capture to the backend, on any platform, eliminating manual tasks and single points of failure
  • Use built-in connectivity features to combine a Java trading interface, a C pricing engine, and MySQL position databases in one central command center; dispatch order routing on .NET and Java platforms from one central command center; or perform position reconciliation with online statements from the clearinghouse with XML functions
  • Create new calculation, graphing, and modeling tools and deploy them to your website with webMathematica
  • Next: Key Capabilities
Financial Risk Management Case Studies
FINANCIAL RISK MANAGEMENT CASE STUDIES

Some Major Organizations Using Mathematica
  • Allianz Insurance
  • Allstate Insurance
  • Bank of America
  • Bloomberg
  • Citigroup
  • Deutsche Börse
  • Morgan Stanley
  • Munich Reinsurance Company
USER STORY

"The different technologies that Mathematica has now that allow you to go from something very sophisticated, like the notebook interface, all the way to the web interface is very powerful."
—Philip Zecher
Chief Risk Officer, EQA Partners, LP
Financial Data on Demand: Building an Interactive Web Service with Mathematica

"The amount of code that's required to produce the same amount of work is a fraction of the amount of code that we would have to write with other tools, so the time to delivery is much faster."
—Alan Savoy
Technical Manager and Architect, nGenera Corporation

"I think there's no question Mathematica is the superior platform for this kind of project and development of this project."
—Bernard Gress
Financial Economist, Fannie Mae


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