Skip to main content Skip to navigation

2020-21

Unless otherwise specified, the Stochastic Finance @ Warwick reading group meets on Fridays 3:30 - 5pm in MS.03 - with the option to join online via MS Teams. If you want to be added to the MS Teams group, please contact the reading group organiser Martin Herdegen.

Term 3

The topic of the reading group for Term 3 is Reinforcement Learning in Finance. We will follow the textbook by Matthew Dixon, Igor Halperin and Paul Bilokon, which can be download (with Warwick login) from hereLink opens in a new window.

30.04.2021 Dixon et al., Chapter 9, 3-3.2 (289-296) Nazem Khan
07.05.2021 Dixon et al., Chapter 9, 3.3 + proof of Bellmann equation (296-299) Zhenda Xu
14.05.2021 Dixon et al., Chapter 9, 4.1-4.3 (300-305) Yuwei Wang
21.05.2021 Dixon et al., Chapter 9, 5.1 (307-309) Joe Jerome
28.05.2021 Dixon et al., Chapter 9, 5.2-5.3 (309-313) Miha Bresar
04.06.2021 Dixon et al., Chapter 9, 5.4+Ex 9.4 (313-316) László Udvardi
11.06.2021 Dixon et al., Chapter 9, 5.5+Ex 9.5 (316-321) Nikolaos Constantinou
18.06.2021 Dixon et al., Chapter 9, 5.6+Ex 9.6 (322-327) Urvashi Behary Paray
25.06.2021 No reading group ---
02.07.2021 Dixon et al., Chapter 9, 5.7-5.9 (selection)+Ex 9.7 (331-334) Osian Shelley

Term 2

The topic of the reading group for Term 2 is Machine Learning in Finance. We will follow the textbook by Matthew Dixon, Igor Halperin and Paul Bilokon, which can be download (with Warwick login) from hereLink opens in a new window.

15.01.2021 Discussion of topics all
22.01.2021 Dixon et al., Chapter 3, 2 (82-85) László Udvardi
29.01.2021 Ch. 3 notebook: ML_in_Finance_Bayesian_Linear_Regression Osian Shelley
05.02.2021 Dixon et al., Chapter 3, 2.1-2.3 (86-90) David Bang
12.02.2021 Dixon et al., Chapter 3, 3.2-3.4 (93-96) Miha Bresar
19.02.2021 Ch. 3 notebook: Example-1-GP-BS-Pricing Urvashi Behary Paray
26.02.2021 Ch. 3 notebook: Example-2-GP-BS-Derivatives Joe Jerome
05.03.2021 Dixon et al., Chapter 4, 2.1-2.2 (112-117) Nazem Khan
12.03.2021 Ch. 4 notebook: ML_in_Finance-Deep-Classifiers Xin Zhi
19.03.2021 Dixon et al., Chapter 4, 2.3-2.5 (117-123) Ruiqi Liu

Term 1

The topic of the reading group for Term 1 is Duality Theory for Optimal Investment. We will follow lecture notes by Chris Rogers, which can be found hereLink opens in a new window.

09.10.2020 Discussion of topic all
16.10.2020 Rogers, Chapters 1 Joe Jerome
23.10.2020 Rogers, Chapter 2, Example 1 Puru Gupta
30.10.2020 (online only) Rogers, Chapter 2, Example 3 Zhenda Xu
06.11.2020 Rogers, Chapter 2, Example 4 Yuwei Wang
13.11.2020 (online only) Rogers, Chapter 3, until (U5) on p.13 Miha Bresar
20.11.2020 Rogers, Chapter 3, after (U5) on p.13 until Lemma 1 p.14 Osian Shelley
27.11.2020 (online only) Rogers, Chapter 3, proof of Lemma 1 on p.14 until end of p.16 Nazem Khan
04.12.2020 Rogers, Chapter 3, top of p.17 until end of section David Bang