Robo-Advisory is a field that has gained momentum over recent years, propelled by the increasing digitalization and automation of global financial markets. More and more money has been flowing into automated advisory, raising essential questions regarding the foundations, mechanics, and performance of such solutions. However, a comprehensive summary taking stock of this new solution at the intersection of finance and technology with consideration for both aspects of theory and implementation has so far been wanting. This book offers such a summary, providing unique insights into the state of Robo-Advisory.
Drawing on a pool of expert authors from within the field, this edited collection aims at being the vital go-to resource for academics, students, policy-makers, and practitioners alike wishing to engage with the topic. Split into four parts, the book begins with a survey of academic literature and its key insights paired with an analysis of market developments in Robo-Advisory thus far. The second part tackles specific questions of implementation, which are complemented by practical case studies in Part III. Finally, the fourth part looks ahead to the future, addressing questions of key importance such as artificial intelligence, big data, and social networks. Thereby, this timely book conveys both a comprehensive grasp of the status-quo as well as a guiding outlook onto future trends and developments within the field.
Effective interest calculation, option price theory, hedging – financial mathematics are indispensable tools for banking practice. Although EDP does a large part of the calculations, it is important for every banker to understand fundamental numerical relationships in order to be able to plan effective strategies in the financial world. In this book, all relevant instruments are explained, from simple cash value calculations to hedging with futures and swaps, and illustrated with the help of many examples. The sixth edition includes a new section on calculating credit risk. The author has also expanded the fundamental analysis of stocks.
Equity and liquidity resources
Disclosure of credit institutions and investment firms
Requirements for risk management in detail
(EMIR) Requirements for the sale and trading of securities
(MiFID2 / MiFIR) Requirements for non-banks (insurance companies, investment funds , Hedge funds)
In addition, the interactions and dependencies between the various subject areas are shown. Practical examples illustrate the complex matter