The MUSE trading room at the Faculty of Economics is now operational!
Officially inaugurated by Philippe Augé, President of the University of Montpellier, on Tuesday, May 28, 2019, the "MUSE" trading room at the University of Montpellier's Faculty of Economics is a space for learning for the analysis and management of risks in professional situations for future finance professionals.
The project leaders, François MIRABEL, Director of the Faculty of Economics, and Françoise Seyte, Senior Lecturer at the University of Montpellier, presented this trading room as "a place where risk management professionals process orders for the purchase and sale of complex financial products (stocks, bonds, options, etc.) in order to maximize the return on capital investment and minimize the risk of losses." etc.) in order to maximize returns on capital investment and minimize the risk of losses."
This state-of-the-art multifunctional space represents a true pedagogical innovation in the digital age based on professional practices. With 15 workstations, it can accommodate up to 30 students simultaneously and allows for an innovative approach to teaching risk analysis and finance, entrepreneurship, and risk management. It is equipped with:
- 15 workstations, dual monitors, and trading software, enabling us to read as much information as possible in real time and react (buying/selling shares) based on the variability of the data displayed.
- an interactive screen,
- large cable screens on business news channels,
- a teaching robot that facilitates remote intervention by professionals/teachers (Awabot).
Thanks to Daniel Melhem, a former student of the Money, Banking, Finance, and Insurance program, data scientist, and founder of the Paris-based company DIMTECH, the trading room will provide students with cutting-edge trading software. Daniel Melhem holds a PhD in quantitative finance and specializes in the fractal approach to chaos, financial modeling, and asset management. He leads a team of researchers specializing in the development of trading strategies and innovative models for the selection, forecasting, and allocation of financial assets.
