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Author:   Volker Liermann ,  Claus Stegmann
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2019
Weight:   0.664kg
ISBN:  

9783030237219

ISBN 10:   3030237214
Pages:   414
Publication Date:   14 November 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

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

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Author Information

Volker Liermann, a Partner at ifb group, brings twenty years of experience in financial risk management. His focus has additionally been on integrated stress testing and liquidity risk management as it impacts asset liability management and profitability. In recent years, he added digital transformation and machine learning to his subjects of expertise. Volker is leading the global business development for banking at ifb. He has an economics background and has a degree in mathematics from the University of Bonn, Germany. Claus Stegmann, a Partner at ifb group and Member of the Executive Board, acquired extensive know-how during the last two decades in topics like SAP Bank Analyzer, risk management for banks, accounting, regulatory and compliance (Basel III, CRR/CRD IV, Solvency II), and in the management of complex projects in the financial industry. He also co-authored books on stress tests in banks and Basel III. He has an academic background as Diplom-Kaufmann (business school graduate) from the University of Passau, Germany.

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