Today, modern technology enables us to precisely analyze the data volumes of the international financial markets that have grown over decades and to react to current market and price developments in a matter of seconds.
Unlike humans, algorithms know no emotion and can process large volumes of data in a short time and react to the insights gained in mere fractions of a second. This is a clear competitive advantage. That is why the Supremum Fund consistently relies on algorithm-based trading.
Wolfgang Kuhle works on macroeconomic equilibrium models, Bayesian game theory, and financial markets/asset pricing. He followed his diploma in economics from the Free University of Berlin with a PhD in economics and mathematics from the University of Mannheim.
After positions at the Max Planck Institute in Bonn and the University of Economics in Prague, he currently teaches at Zhejiang University in Hangzhou, China. At Supremum Investments he is responsible for research and development.
Markus Knopf works on differential geometry and fully integrable Hamiltonian systems. His diploma was followed by a PhD in mathematics at the University of Mannheim.
Markus Knopf works on differential geometry and fully integrable Hamiltonian systems. His diploma was followed by a PhD in mathematics at the University of Mannheim.
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