
Finance students and practitioners may ask: can machines learn everything? Could AI help me? Computing students or practitioners may ask: which of my skills could contribute to fnance? Where in fnance should I pay attention? This book aims to answer these questions. No prior knowledge is expected in AI or fnance.
To fnance students and practitioners, this book will explain the promise of AI, as well as its limitations. It will cover knowledge representation, modelling, simulation and machine learning, explaining the principles of how they work.
To computing students and practitioners, this book will introduce the fnancial applications in which AI has made an impact. This includes algorithmic trading, forecasting, risk analysis portfolio optimization and other less well-known areas in fnance.