Knowledge of the dynamics of complex economical systems is crucial to obtain a forward looking view on the management of financial assets. We apply higher dimensional non linear quantitative methods to help steering our portfolio in times with elevated uncertainty.
The backbone of modern asset management
The application of robust statistical methods and computational tools is the cornerstone of our management approach.
We utilize non linear times series analysis, functional and explorative data analysis as well as non and semi parametric modelling to extract signals out of massive data generated from underlying financial and economical processes.
Modern statistical analysis requires standardization, transparency, interactivity, and reproducibility.
We employ various technology approaches to fulfil these requirements. We argue strongly in favor of open and flexible environments within distributed frameworks. Our emphasize lies on spreadsheets as suitable frontends for e. g. add-in based statistical systems.
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