Josef Teichmann: Machine Learning in Finance

Time: Fri 2019-01-18 14.15 - 15.15

Lecturer: Josef Teichmann, ETH Zurich

Location: Seminarierummet F11, KTH, Lindstedtsvägen 22

Abstract: We show three instances of machine learning in finance: deep hedging, deep calibration and deep simulation. The first two applications are direct application of universal approximation theorems, in contrast to deep simulation where Johnson-Lindenstrauss random projection are used to obtain expressive but tractable sets of trajectories.​

Belongs to: Department of Mathematics
Last changed: Jan 03, 2019