Karel Janeček

Article

July 1, 2022

Karel Janeček (* July 26, 1973 Pilsen) is a Czech mathematician, pedagogue, fighter against corruption and author of the electoral system D21 - Janeček's method. On January 21, 2022, he announced his candidacy for president of the Czech Republic. He lectured on financial mathematics at the Faculty of Mathematics and Physics of Charles University in Prague. He is the founder and chairman of the board of the Anti-Corruption Foundation. He also founded the Institute H21, the Karel Janeček Endowment Fund for the Support of Science and Research (now the Neuron Endowment Fund for the Support of Science), the Znesnáze21 Endowment Fund and Platform, the Karel Janeček Foundation and the Science 21 Foundation. As of 2021, Forbes magazine ranked Karel Janeček in 91st place on the list of the richest Czechs with assets of around CZK 3 billion.

Education

In 1997, he received an MBA from Bradley University in Peoria, USA. A year later, he graduated from the Faculty of Mathematics and Physics of Charles University in Prague, majoring in probability theory and mathematical statistics. In 2004, he received his Ph.D. in mathematical finance from Carnegie-Mellon University in Pittsburgh.

Scientific and pedagogical activities

In 2004–2005 he worked as a researcher at the Austrian Academy of Sciences, in 2007–2013 he lectured at the MFF UK in Prague. He specializes in optimal management in financial mathematics. He was also a member of the Scientific Board of the Faculty of International Relations of the University of Economics. He has around 90 citations in world professional journals. The most important publications include: K Janeček, Z Li, M. Sîrbu, Optimal Investment with High-Watermark Fee in a Multidimensional Jump Diffusion Model, SIAM Journal financial math, 2020 K. Janeček, M. Sîrbu, Optimal investment with high-watermark performance fee, SIAM Journal on Control and Optimization, 2012 K. Janeček, S. E. Shreve, Futures trading with transaction costs, Illinois Journal of Mathematics, 2010 K. Janeček, What is a realistic aversion to risk for real-world individual investors ?, International Journal of Finance, 2004 K. Janeček, S. E. Shreve, Asymptotic analysis for optimal investment and consumption with transaction costs, Finance and Stochastics, 2004

Business

Janeček, a company founded by Janeček, has been trading on the London derivatives exchange NYSE Liffe since 2000, and in 2004 it was appointed the official market maker. Since September 2009, it has been the first Czech company to become a member of the European derivatives exchange Eurex based in Frankfurt am Main. It achieved a significant position on the markets mainly by improving its own system of mathematical algorithms for trading in financial derivatives. Primarily as a market maker on derivatives exchanges. Janeček now has only a passive minority stake of 7% in RSJ.

Fight against corruption and philanthropy

In 2009, he founded the Karel Janeček Endowment Fund to support science and research, which arose from his long-term efforts to support science. The aim of the fund was initially to support projects of mainly basic scientific research, namely in mathematics, economics and medicine. Currently, the fund awards grants from patrons for scientific projects in the fields of physics, chemistry, mathematics, medicine and social sciences. The fund supports young researchers working in the Czech Republic and successful Czech researchers who decide to return from abroad. In 2013, the fund was renamed the Neuron Endowment Fund, today the Neuron Endowment Fund for the Support of Science. In November 2021, the scientific and administrative board of the endowment fund decided to end cooperation with Janeček, due to his statements about covid-19 and vaccination of healthy children, which "are in stark contrast to the knowledge of the best scientists we work with." with the brewery Stanislav Bernard and the actor Jan Kraus he founded the Endowment Fund against Corruption, the aim of which is to support the development of ethical values ​​in dem