Quantcast – a Risk.net Cutting Edge podcast Alvaro Cartea, 19/07/2024
Jul 24, 2024
Alvaro Cartea, Oxford-Man Institute director, discusses the potential anti-competitive effects of machine learning-based trading. Topics include evolving trading strategies, unintentional collusion, market integrity through academic research, collaboration between regulatory bodies and industry professionals, and the impact of automated market making in decentralized markets like Bitcoin.
Chapters
Transcript
Episode notes
1 2 3 4 5 6
Intro
00:00 • 2min
Evolution of Trading Strategies in High Frequency and Algorithmic Trading
02:19 • 11min
Understanding Collusion in Trading Strategies
13:17 • 21min
Exploring the Role of Academic Research in Upholding Market Integrity
34:05 • 2min
Regulatory Bodies and Industry Professionals Collaboration
36:04 • 5min
Exploration of Automated Market Making in Decentralized Markets
41:12 • 3min