Buch, Englisch, 414 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 771 g
ISBN: 978-3-030-23718-9
Verlag: Palgrave Macmillan
Gathers the most relevant methods used in the bank management digitalization
Focuses on practical applications and their implementation in a bank environment
Gives an outlook to the impact digitalization will have in the daily work of a CFO / CRO and a structural influence to the financial management department of a bank
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Digital Lifestyle Online Banking & Finance
- Wirtschaftswissenschaften Betriebswirtschaft Management Forschung & Entwicklung (F&E), Innovation
- Wirtschaftswissenschaften Finanzsektor & Finanzdienstleistungen Bankwirtschaft
- Wirtschaftswissenschaften Wirtschaftswissenschaften Wirtschaft: Sachbuch, Ratgeber
- Wirtschaftswissenschaften Finanzsektor & Finanzdienstleistungen Finanzsektor & Finanzdienstleistungen: Allgemeines
Weitere Infos & Material
1. Introduction- Volker Liermann, Claus Stegmann
Part 1: Automation, distributed ledger and client related aspects
2. Batch Processing: Pattern Recognition- Volker Liermann, Claus Stegmann
3. Hyperledger fabric as a blockchain framework in the financial industry- Martina Bettio, Fabian Bruse, Achim Franke, Thorsten Jakoby, Daniel Schärf4. Hyperledger composer: syndicated loans- Gereon Dahmen, Volker Liermann5. The concept of the best action/offer in the age of customer experience- Uwe May6. Using prospect theory to determine investor risk aversion- Constantin Lisson7. Leveraging predictive analytics within a value driver based planning framework- Simon Valjanow, Phillip Enzinger, Florian Dinges8. Predictive Risk Management- Volker Liermann, Nikolas Viets9. Intraday liquidity: forecast using pattern recognition- Volker Liermann, Sangmeng Li, Victoria Dobryashkina
Part 2: Bank Management Aspects
10. Internal credit risk models with machine learning- Markus Thiele, Harro Dittmar11. Real estate risk: Appraisal capture- Volker Liermann, Norbert Schaudinnus12. Managing internal and external network complexity: how digitalization and new technology influence the modeling approach- Stefan Grossmann, Philipp Enzinger13. Big data and the CRO of the future- Richard L. Harmon
Part 3: Regulatory Aspects- Introduction
14. How technology (or algorithms like deep learning and machine learning) can help to comply with regulatory requirements- Moritz Plenk, Losif Levant, Noah Bellon15. New Office of the Comptroller of the Currency Fintech Regulation: Ensuring a Successful Special Purpose National Bank Charter Application- Alexa Philo
Part 4: Methods, Technology & Architecture- Introduction
16. Mathematical background of machine learning- Volker Liermann, Sangmeng Li, Victoria Dobryashkina17. Deep learning: an introduction- Sangmeng Li, Volker Liermann, Norbert Schaudinnus18. Hadoop: A standard framework for computer cluster- Eljar Akhgarnush, Lars Broeckers, Thorsten Jakoby19. In-memory databases and their impact on our (future) organizations- Eva Kopic, Bezu Teschome, Thomas Schneider, Ralph Steurer, Sascha Florin20. MongoDB: The journey from a relational to a document-based database for FIS balance sheet management- Boris Bialek21. Summary and Outlook- Volker Liermann, Claus Stegmann




