Lecture Notes Learning to Trade II: Deep Hedging

53 Pages Posted: 18 Jul 2022 Last revised: 8 Aug 2022

See all articles by Hans Buehler

Hans Buehler

XTX Markets

Blanka Horvath

Mathematical Institute, University of Oxford and Oxford Man Institute; Oxford University; The Alan Turing Institute

Date Written: June 30, 2022

Abstract

his lecture series discusses the Learning to Trade program for the use of data and machine learning for trading. This second session is a deep dive into the Deep Hedging reinforcement learning approach for hedging a portfolio of financial instruments with derivatives. The lecture gives a full overview over the state of the published literature, including on "statistical arbitrage" and methods handling it.

Keywords: Deep Hedging, AI Trader, Statistical Arbitrage, Reinforcement Learning

Suggested Citation

Buehler, Hans and Horvath, Blanka, Lecture Notes Learning to Trade II: Deep Hedging (June 30, 2022). Available at SSRN: https://ssrn.com/abstract=4151041 or http://dx.doi.org/10.2139/ssrn.4151041

Hans Buehler (Contact Author)

XTX Markets ( email )

14-18 Handyside Street
London, Greater London N1C 4DN
United Kingdom

HOME PAGE: http://xtxmarkets.com

Blanka Horvath

Mathematical Institute, University of Oxford and Oxford Man Institute ( email )

Andrew Wiles Building
Woodstock Road
Oxford, OX2 6GG
United Kingdom

Oxford University ( email )

The Alan Turing Institute ( email )

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