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Enterprise Applications, Markets and Services in the Finance Industry

10th International Workshop, FinanceCom 2020, Helsinki, Finland, August 18, 2020, Revised Selected Papers

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Benjamin Clapham

    1. Goethe University Frankfurt, Frankfurt, Germany

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    You can also search for this editor in PubMed   Google Scholar

  2. Jascha-Alexander Koch

    1. Goethe University Frankfurt, Frankfurt, Germany

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Business Information Processing (LNBIP, volume 401)

Included in the following conference series:

Conference proceedings info: FinanceCom 2020.

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Table of contents (7 papers)

  1. Front Matter

    Pages i-xi
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  2. Machine Learning Applications in Trading and Financial Markets

    1. Front Matter

      Pages 1-1
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    2. State-of-the-Art in Applying Machine Learning to Electronic Trading

      • Fethi A. Rabhi, Nikolay Mehandjiev, Ali Baghdadi
      Pages 3-20

    3. Using Machine Learning to Predict Short-Term Movements of the Bitcoin Market

      • Patrick Jaquart, David Dann, Christof Weinhardt
      Pages 21-40

  3. Fraud Detection and Information Generation in Finance

    1. Front Matter

      Pages 41-41
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    2. Scalable and Imbalance-Resistant Machine Learning Models for Anti-money Laundering: A Two-Layered Approach

      • Pavlo Tertychnyi, Ivan Slobozhan, Madis Ollikainen, Marlon Dumas
      Pages 43-58

    3. Leveraging Textual Analyst Sentiment for Investment

      • Matthias Palmer, Timo Schäfer
      Pages 59-74

  4. Alternative Trading and Investment Offerings by FinTechs

    1. Front Matter

      Pages 75-75
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    2. Portfolio Rankings on Social Trading Platforms in Uncertain Times

      • Steffen Bankamp, Jan Muntermann
      Pages 77-91

    3. What Do Robo-Advisors Recommend? - An Analysis of Portfolio Structure, Performance and Risk

      • Albert Torno, Sören Schildmann
      Pages 92-108

  5. Invited Talk

    1. Front Matter

      Pages 109-109
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    2. The Financial Viability of eHealth and mHealth

      • Bernard Le Moullec, Yan Hanrunyu, Pradeep Kumar Ray
      Pages 111-116

  6. Back Matter

    Pages 117-117
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  1. Enterprise Applications, Markets and Services in the Finance Industry

Keywords

About this book

This book constitutes the revised selected papers from the 10th International Workshop on Enterprise Applications, Markets and Services in the Finance Industry, FinanceCom 2020, held in Helsinki, Finland, in August 2020.

Due to the COVID-19 pandemic the conference took place virtually.

The 6 full papers presented together with 1 extended abstract in this volume were carefully reviewed and selected from a total of 14 submissions to the workshop.They are grouped in topical sections named Machine Learning Applications in Trading and Financial Markets, Fraud Detection and Information Generation in Finance, and Alternative Trading and Investment Offerings by FinTechs.The workshop spans multiple disciplines, including analytical, technical, service, economic, sociological and behavioral sciences.

Editors and Affiliations

  • Goethe University Frankfurt, Frankfurt, Germany

    Benjamin Clapham, Jascha-Alexander Koch

Bibliographic Information

  • Book Title: Enterprise Applications, Markets and Services in the Finance Industry

  • Book Subtitle: 10th International Workshop, FinanceCom 2020, Helsinki, Finland, August 18, 2020, Revised Selected Papers

  • Editors: Benjamin Clapham, Jascha-Alexander Koch

  • Series Title: Lecture Notes in Business Information Processing

  • DOI: https://doi.org/10.1007/978-3-030-64466-6

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2020

  • Softcover ISBN: 978-3-030-64465-9Published: 26 November 2020

  • eBook ISBN: 978-3-030-64466-6Published: 25 November 2020

  • Series ISSN: 1865-1348

  • Series E-ISSN: 1865-1356

  • Edition Number: 1

  • Number of Pages: XI, 117

  • Number of Illustrations: 24 b/w illustrations, 3 illustrations in colour

  • Topics: Computer Applications, IT in Business, Machine Learning, Security Services

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