On Parametric Optimal Execution and Machine Learning Surrogates

This repository provides the Jupyter Notebook accompanying the manuscript On Parametric Optimal Execution and Machine Learning Surrogates by Tao Chen, Mike Ludkovski, and Moritz Voß (Quantitative Finance, 2023).

Files

  • Optimal_Execution_ML_Surrogates.ipynb: Main Jupyter Notebook for NN training and testing.
  • LinearModel.py: Implementation of the optimal linear benchmark policy.
  • 50_1_nopti: Optimal quantization grid of the standard univariate normal distribution of size 50 (from www.quantize.maths-fi.com)