For reliable insight. For informed decision making.
Mathematical Challenge November 2014 (PDF 359 kb)
The path integral approach, firstly introduced by Richard Feynman in his landmark paper , is one of the most powerful tools of modern quantum physics. Path integrals are widely used to compute the expectation value of a quantum observable (such as for example the collision probability of two particles).
We program highly scalable software for the systematic analysis of large amounts of complex data. Our insights are based on high resolution time-series analyses, state-of-the-art classification methods and user-friendly visualization. Fast algorithms and robust optimization allow consistent and transparent findings on the basis of repeatability and replicability. With Intelligent Technology, our clients strengthen their strategic advantage.
Recording non-linear dependencies
Identifying regime changes
Monitoring of instabilities
Informed decision making
Informed decision making requires reliable analyses, accurate forecasting and a continuously adjusted set of strategy options. We model dynamic systems for the simulation of diverse and comprehensive scenarios. Multivariate regressions, dynamic copula models and adaptive filters equipped with proprietary calibration methods provide the basis for consistent decision making. Our Intelligent Technology enables our clients to make more expedient and better informed decisions, staying ahead of the competition and safeguarding against the unexpected.
Dynamic system simulation
Pattern recognition for forecasting
Protection against extreme events