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EconoPhysics

We offer a technical consulting in the field of Econophysics. We develop proprietary software for noise reduction, noise estimation and Value-at-Risk estimation in C language.

Noise estimation: a software to evaluate a noise level using coarse-grained correlation entropy:
– source code in C (you may need the Numerical Recipes library : www.nr.com)
– executable file for Windows
– executable file for Linux
– executable file for Unix
White Paper: K. Urbanowicz and J.A. Hołyst (2003) Noise level estimation of time series using coarse grained entropy

Noise estimation: a software to evaluate a noise level by the use of neighbouring distances in Takens space:
– source code in C (you may need the Numerical Recipes library : www.nr.com)
– executable file for Windows
– executable file for Linux
– executable file for Unix
White Paper: Krzysztof Urbanowicz, Janusz A. Holyst (2005) Noise estimation by use of neighboring distances in Takens space and its applications to stock market data

Noise reduction: a software for noise reduction using local projection with nonlinear constraints :
– source code in C (you may need the Numerical Recipes library : www.nr.com)
– executable file for Windows
– executable file for Linux
– executable file for Unix
White Paper: K. Urbanowicz, J.A. Hołyst, T. Stemler and H. Benner (2005) Noise reduction in chaotic time series by a local projection with nonlinear constraints

We offer a technical consulting in Risk Management in the field of VAR estimation. We develop our proprietary ultra fast algorithm for estimation Value-at-Risk for large, complex financial data using enhanced covariance matrix.

Value-at-Risk estimation: an estimation Value-at-Risk for large, complex financial data using enhanced covariance:
Technical description in English
Technical description in Polish
White Paper: K. Urbanowicz, P. Richmond and J.A. Hołyst (2007) Risk evaluation with enhanced covariance matrix

The source code is in C is available upon request.

Please do not hesitate to contact us : krzysztof.urbanowicz[#]quant-technology.com for more resources or information.

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