Academic staff at Faculty of Mathematics and Physics, Faculty of Social Sciences
Classes
- Nonlinear Dynamic Economic Systems: Theory and ApplicationsJED004 | Faculty of Social Sciences
- Winter Semester 2009/2010 Nonlinear Dynamic Economic Systems: Theory and ApplicationsJED401 | Faculty of Social Sciences
- Summer Semester 2009/2010 Nonlinear Dynamic Economic Systems: Theory and ApplicationsJED402 | Faculty of Social Sciences
- Winter Semester 2010/2011 Nonlinear Dynamic Economic Systems: Theory and ApplicationsJED403 | Faculty of Social Sciences
- Summer Semester 2010/2011 Nonlinear Dynamic Economic Systems: Theory and ApplicationsJED404 | Faculty of Social Sciences
- Winter Semester 2011/2012 Nonlinear Dynamic Economic Systems: Theory and ApplicationsJED405 | Faculty of Social Sciences
- Summer Semester 2011/2012 Nonlinear Dynamic Economic Systems: Theory and ApplicationsJED406 | Faculty of Social Sciences
- Winter Semester 2012/2013 Nonlinear Dynamic Economic Systems: Theory and ApplicationsJED407 | Faculty of Social Sciences
- Summer Semester 2012/2013 Nonlinear Dynamic Economic Systems: Theory and ApplicationsJED408 | Faculty of Social Sciences
- Economic Dynamics IJEM096 | Faculty of Social Sciences
Publications
- Herding, minority game, market clearing and efficient markets in a simple spin model framework +12018 | Publication without faculty affiliation
- Capital market efficiency in the Ising model environment: Local and global effects2016 | Faculty of Social Sciences
- Measuring capital market efficiency: long-term memory, fractal dimension and approximate entropy2014 | Faculty of Mathematics and Physics, Faculty of Social Sciences
- Commodity futures and market efficiency2014 | Faculty of Social Sciences
- Measuring capital market efficiency: Global and local correlations structure2013 | Faculty of Mathematics and Physics, Faculty of Social Sciences
- Capital markets efficiency: fractal dimension, Hurst exponent and entropy2012 | Faculty of Mathematics and Physics, Faculty of Social Sciences
- Measuring capital market efficiency with tools of statistical physics2012 | Faculty of Mathematics and Physics, Faculty of Social Sciences
- How do skilled traders change the structure of the market2012 | Faculty of Social Sciences
- Evaluating the Efficient Market Hypothesis by means of isoquantile surfaces and the Hurst exponent2011 | Faculty of Mathematics and Physics, Faculty of Social Sciences
- Comparing Neural Networks and ARMA Models in Artificial Stock Market2011 | Faculty of Mathematics and Physics
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