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Master of Science UZH ETH in Quantitative Finance

Matthias Feiler

Matthias Feiler, Dr.

Education

PhD in Electrical Engineering, TU Munich 2004

MBA Collège des Ingénieurs, Paris 2006

Research Interest

Understanding financial market data using tools from signal processing and machine learning. In addition, my interest is in viewing the financial market itself as an information processing system and study asset price dynamics from the perspective of learning agents. 

Teaching

Investments - selected tools (pattern recognition and machine learning for financial time-series), UZH

Intelligent Systems (introduction to nonlinear systems analysis and deep learning), TU Munich until 2005

Publications

please find them on: http://www.mfeiler.com

Professional

Head asset allocation (since 2010) at LGT Capital Partners

Teaching

V-Nr Course Start / End Date Lecturers Room
1791
03VL22MO0108
from 23.02.2024
to 28.06.2024
Fr 12:15-13:45, 28.6.: 12:00-16:00 Matthias Feiler siehe Details