Data Science in Economics and Finance for Decision Makers
Discipline: Operational Risk, Regulation
Data Science in Economics and Finance for Decision Makers is a key resource for any financial-market participant, policy-maker, central banker, economist or decision-maker required to understand the impact and opportunities presented by the transformation of digitalisation and fintech.
This book is a comprehensive overview of the data-science tools and techniques that already exist and that are emerging. ECB stalwart Per Nymand-Andersen has brought together over 20 global experts from both the private and public sectors, as well as authors from academia and the media in this expansive title, helping the reader to better understand the impact of digital data and the significant changes international economies and financial markets are undergoing, and the new challenges these changes pose.