Generation of synthetic data to improve financial prediction models

S Xuereb - 2023 - um.edu.mt
The main issue at the heart of this dissertation is the improvement of ML financial prediction
systems through the use of augmented training data. An overview and assessment of …

[HTML][HTML] Scenario Generation for Stress Testing Using Generative Adversarial Networks: Deep Learning Approach to Generate Extreme but Plausible Scenarios

J Gustafsson, C Jonsson - 2023 - diva-portal.org
Abstract Central Clearing Counterparties play a crucial role in financial markets, requiring
robust risk management practices to ensure operational stability. A growing emphasis on …