Skip to main content

Main menu

  • Home
  • Current Issue
  • Past Issues
  • Videos
  • Submit an article
  • More
    • About JFDS
    • Editorial Board
    • Published Ahead of Print (PAP)
  • IPR logos x
  • About Us
  • Journals
  • Publish
  • Advertise
  • Videos
  • Webinars
  • More
    • Awards
    • Article Licensing
    • Academic Use
  • Follow IIJ on LinkedIn
  • Follow IIJ on Twitter

User menu

  • Sample our Content
  • Request a Demo
  • Log in

Search

  • ADVANCED SEARCH: Discover more content by journal, author or time frame
The Journal of Financial Data Science
  • IPR logos x
  • About Us
  • Journals
  • Publish
  • Advertise
  • Videos
  • Webinars
  • More
    • Awards
    • Article Licensing
    • Academic Use
  • Sample our Content
  • Request a Demo
  • Log in
The Journal of Financial Data Science

The Journal of Financial Data Science

ADVANCED SEARCH: Discover more content by journal, author or time frame

  • Home
  • Current Issue
  • Past Issues
  • Videos
  • Submit an article
  • More
    • About JFDS
    • Editorial Board
    • Published Ahead of Print (PAP)
  • Follow IIJ on LinkedIn
  • Follow IIJ on Twitter

Table of Contents

Summer 2021; Volume 3,Issue 3

Managing Editor’s Letter

  • Open Access
    Managing Editor’s Letter
    Francesco A. Fabozzi
    The Journal of Financial Data Science Summer 2021, 3 (3) 1-3; DOI: https://doi.org/10.3905/jfds.2021.3.3.001

Machine Learning for Active Portfolio Management

  • You have access
    Machine Learning for Active Portfolio Management
    Söhnke M. Bartram, Jürgen Branke, Giuliano De Rossi and Mehrshad Motahari
    The Journal of Financial Data Science Summer 2021, 3 (3) 9-30; DOI: https://doi.org/10.3905/jfds.2021.1.071

Interpretable Machine Learning for Diversified Portfolio Construction

  • You have access
    Interpretable Machine Learning for Diversified Portfolio Construction
    Markus Jaeger, Stephan Krügel, Dimitri Marinelli, Jochen Papenbrock and Peter Schwendner
    The Journal of Financial Data Science Summer 2021, 3 (3) 31-51; DOI: https://doi.org/10.3905/jfds.2021.1.066

Context, Language Modeling, and Multimodal Data in Finance

  • You have access
    Context, Language Modeling, and Multimodal Data in Finance
    Sanjiv Das, Connor Goggins, John He, George Karypis, Sandeep Krishnamurthy, Mitali Mahajan, Nagpurnanand Prabhala, Dylan Slack, Rob van Dusen, Shenghua Yue, Sheng Zha and Shuai Zheng
    The Journal of Financial Data Science Summer 2021, 3 (3) 52-66; DOI: https://doi.org/10.3905/jfds.2021.1.063

Confronting Machine Learning with Financial Research

  • You have access
    Confronting Machine Learning with Financial Research
    Kristof Lommers, Ouns El Harzli and Jack Kim
    The Journal of Financial Data Science Summer 2021, 3 (3) 67-96; DOI: https://doi.org/10.3905/jfds.2021.1.068

An Inside Peek at AI Use in Private Equity

  • You have access
    An Inside Peek at AI Use in Private Equity
    Thomas Åstebro
    The Journal of Financial Data Science Summer 2021, 3 (3) 97-107; DOI: https://doi.org/10.3905/jfds.2021.1.067

Stock Portfolio Selection with Deep RankNet

  • You have access
    Stock Portfolio Selection with Deep RankNet
    Yan Li and Zheng Tan
    The Journal of Financial Data Science Summer 2021, 3 (3) 108-120; DOI: https://doi.org/10.3905/jfds.2021.1.069

Deep Q-Learning for Trading Cryptocurrency

  • You have access
    Deep Q-Learning for Trading Cryptocurrency
    Yu chien (Calvin) Ma, Zoe Wang and Alexander Fleiss
    The Journal of Financial Data Science Summer 2021, 3 (3) 121-127; DOI: https://doi.org/10.3905/jfds.2021.1.064

Weak Supervision and Black-Litterman for Automated ESG Portfolio Construction

  • You have access
    Weak Supervision and Black-Litterman for Automated ESG Portfolio Construction
    Alik Sokolov, Kyle Caverly, Jonathan Mostovoy, Talal Fahoum and Luis Seco
    The Journal of Financial Data Science Summer 2021, 3 (3) 129-138; DOI: https://doi.org/10.3905/jfds.2021.1.070

Does the CFTC Report Have Predictive Power: Machine Learning Approach

  • You have access
    Does the CFTC Report Have Predictive Power: Machine Learning Approach
    Oleksandr Proskurin
    The Journal of Financial Data Science Summer 2021, 3 (3) 139-151; DOI: https://doi.org/10.3905/jfds.2021.1.065
Back to top
PreviousNext

Explore our content to discover more relevant research

  • By topic
  • Across journals
  • From the experts
  • Monthly highlights
  • Special collections

In this issue

The Journal of Financial Data Science: 3 (3)
The Journal of Financial Data Science
Vol. 3, Issue 3
Summer 2021
  • Table of Contents
  • Index by author
  • Complete Issue (PDF)
Sign up for alerts
LONDON
One London Wall, London, EC2Y 5EA
0207 139 1600
 
NEW YORK
41 Madison Avenue, 20th Floor, New York, NY 10010
646 931 9045
pm-research@pageantmedia.com

Stay Connected

  • Follow IIJ on LinkedIn
  • Follow IIJ on Twitter

MORE FROM PMR

  • Home
  • Awards
  • Investment Guides
  • Videos
  • About PMR

INFORMATION FOR

  • Academics
  • Agents
  • Authors
  • Content Usage Terms

GET INVOLVED

  • Advertise
  • Publish
  • Article Licensing
  • Contact Us
  • Subscribe Now
  • Sign In
  • Update your profile
  • Give us your feedback

© 2022 Pageant Media Ltd | All Rights Reserved | ISSN: 2640-3943 | E-ISSN: 2640-3951

  • Site Map
  • Terms & Conditions
  • Privacy Policy
  • Cookies