Artificial Intelligence in Asset Management
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3.8 • 4 Ratings
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Publisher Description
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. Yet the use of AI can also create new risks and challenges, such as those resulting from model opacity, complexity, and reliance on data integrity.
Customer Reviews
Great Book on AI+Finance
Reading this book is like riding a Time Machine to me. It took me back to 2018, when I wrote my senior design paper building model to optimize a client’s system using a combination of regression model, random forest, and neural network. Rather than touting the new ideas of AI, this book, Artificial Intelligence in Asset Management, layout both advantages and costs of the tools of artificial intelligence. Readers will find great information from this book on the applications on artificial intelligence in the field of asset management.