Artificial intelligence (AI) has improved portfolio management, trading, and risk management practices by increasing efficiency, accuracy, and compliance.
For a deeper exploration of these applications and risks, see our newly published volume (11/25)AI in Asset Management: Tools, Applications, and Frontiers.
Artificial intelligence (AI) has grown in presence in asset management and has revolutionized the sector in many ways. It has improved portfolio management, trading, and risk management practices by increasing efficiency, accuracy, and compliance. In particular, AI techniques help construct portfolios based on more accurate risk and return forecasts and more complex constraints. Trading algorithms use AI to devise novel trading signals and execute trades with lower transaction costs. AI also improves risk modeling and forecasting by generating insights from new data sources. Finally, robo-advisors owe a large part of their success to AI techniques.