Your resource for web content, online publishing
and the distribution of digital products.
S M T W T F S
 
 
 
 
 
1
 
2
 
3
 
4
 
5
 
6
 
7
 
8
 
9
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
29
 
30
 

Hedging American Put Options with Deep Reinforcement Learning: Appendix A

DATE POSTED:October 30, 2024
Table of Links
  1. Abstract

  2. Introduction

    Background

    Reinforcement Learning

    Similar Work

  3. Methodology

    DRLAgent Design

  4. Training Procedures

  5. Testing Procedures

  6. Results

  7. SABR Experiments

  8. Conclusions

  9. Appendix A

  10. References

Appendix A

\

\

\

\

\

\

\

\

\

\

:::info Authors:

(1) Reilly Pickard, Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON M5S 3G8, Canada ([email protected]);

(2) Finn Wredenhagen, Ernst & Young LLP, Toronto, ON, M5H 0B3, Canada;

(3) Julio DeJesus, Ernst & Young LLP, Toronto, ON, M5H 0B3, Canada;

(4) Mario Schlener, Ernst & Young LLP, Toronto, ON, M5H 0B3, Canada;

(5) Yuri Lawryshyn, Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, ON M5S 3E5, Canada.

:::

:::info This paper is available on arxiv under CC BY-NC-SA 4.0 Deed (Attribution-Noncommercial-Sharelike 4.0 International) license.

:::

\