Table of Contents

Winter 2023; Volume 5,Issue 1

A

  1. Apel, Matthias

    1. Point-in-Time Language Model for Geopolitical Risk Events
      Matthias Apel, André Betzer and Bernd Scherer
      The Journal of Financial Data Science Winter 2023, 5 (1) 65-75; DOI: https://doi.org/10.3905/jfds.2022.1.113

B

  1. Barucca, Paolo

    1. Ensemble Meta-Labeling
      Dennis Thumm, Paolo Barucca and Jacques Francois Joubert
      The Journal of Financial Data Science Winter 2023, 5 (1) 10-26; DOI: https://doi.org/10.3905/jfds.2022.1.114
    2. Online Learning with Radial Basis Function Networks
      Gabriel Borrageiro, Nick Firoozye and Paolo Barucca
      The Journal of Financial Data Science Winter 2023, 5 (1) 76-95; DOI: https://doi.org/10.3905/jfds.2022.1.112

  2. Betzer, André

    1. Point-in-Time Language Model for Geopolitical Risk Events
      Matthias Apel, André Betzer and Bernd Scherer
      The Journal of Financial Data Science Winter 2023, 5 (1) 65-75; DOI: https://doi.org/10.3905/jfds.2022.1.113

  3. Borrageiro, Gabriel

    1. Online Learning with Radial Basis Function Networks
      Gabriel Borrageiro, Nick Firoozye and Paolo Barucca
      The Journal of Financial Data Science Winter 2023, 5 (1) 76-95; DOI: https://doi.org/10.3905/jfds.2022.1.112

C

  1. Chen, Jiarui

    1. The Complexity of Blockchain Risks Simplified and Displayed: Introduction of the Johns Hopkins Blockchain Risk Map
      Jiarui Chen, Qilin QiQi Tong, Himanshu Verma, Avinash Sharma, Anton Dahbura and Jim Kyung-Soo Liew
      The Journal of Financial Data Science Winter 2023, 5 (1) 96-109; DOI: https://doi.org/10.3905/jfds.2022.1.117

  2. Czasonis, Megan

    1. Relevance-Based Prediction: A Transparent and Adaptive Alternative to Machine Learning
      Megan Czasonis, Mark Kritzman and David Turkington
      The Journal of Financial Data Science Winter 2023, 5 (1) 27-46; DOI: https://doi.org/10.3905/jfds.2022.1.110

D

  1. Dahbura, Anton

    1. The Complexity of Blockchain Risks Simplified and Displayed: Introduction of the Johns Hopkins Blockchain Risk Map
      Jiarui Chen, Qilin QiQi Tong, Himanshu Verma, Avinash Sharma, Anton Dahbura and Jim Kyung-Soo Liew
      The Journal of Financial Data Science Winter 2023, 5 (1) 96-109; DOI: https://doi.org/10.3905/jfds.2022.1.117

  2. Ding, Rui

    1. Visualizing Structures in Financial Time-Series Datasets through Affinity-Based Diffusion Transition Embedding
      Rui Ding
      The Journal of Financial Data Science Winter 2023, 5 (1) 111-131; DOI: https://doi.org/10.3905/jfds.2022.1.111

F

  1. Fabozzi, Francesco A.

    1. Managing Editor’s Letter
      Francesco A. Fabozzi
      The Journal of Financial Data Science Winter 2023, 5 (1) 1-3; DOI: https://doi.org/10.3905/jfds.2023.5.1.001

  2. Firoozye, Nick

    1. Online Learning with Radial Basis Function Networks
      Gabriel Borrageiro, Nick Firoozye and Paolo Barucca
      The Journal of Financial Data Science Winter 2023, 5 (1) 76-95; DOI: https://doi.org/10.3905/jfds.2022.1.112

J

  1. Joubert, Jacques Francois

    1. Ensemble Meta-Labeling
      Dennis Thumm, Paolo Barucca and Jacques Francois Joubert
      The Journal of Financial Data Science Winter 2023, 5 (1) 10-26; DOI: https://doi.org/10.3905/jfds.2022.1.114

K

  1. Kritzman, Mark

    1. Relevance-Based Prediction: A Transparent and Adaptive Alternative to Machine Learning
      Megan Czasonis, Mark Kritzman and David Turkington
      The Journal of Financial Data Science Winter 2023, 5 (1) 27-46; DOI: https://doi.org/10.3905/jfds.2022.1.110

L

  1. Liew, Jim Kyung-Soo

    1. The Complexity of Blockchain Risks Simplified and Displayed: Introduction of the Johns Hopkins Blockchain Risk Map
      Jiarui Chen, Qilin QiQi Tong, Himanshu Verma, Avinash Sharma, Anton Dahbura and Jim Kyung-Soo Liew
      The Journal of Financial Data Science Winter 2023, 5 (1) 96-109; DOI: https://doi.org/10.3905/jfds.2022.1.117

  2. Liu, Peng

    1. An Integrated Framework on Human-in-the-Loop Risk Analytics
      Peng Liu
      The Journal of Financial Data Science Winter 2023, 5 (1) 58-64; DOI: https://doi.org/10.3905/jfds.2022.1.116

M

  1. Mai, Yubo

    1. ESG Text Classification: An Application of the Prompt-Based Learning Approach
      Zhengzheng Yang, Le Zhang, Xiaoyun Wang and Yubo Mai
      The Journal of Financial Data Science Winter 2023, 5 (1) 47-57; DOI: https://doi.org/10.3905/jfds.2022.1.115

S

  1. Scherer, Bernd

    1. Point-in-Time Language Model for Geopolitical Risk Events
      Matthias Apel, André Betzer and Bernd Scherer
      The Journal of Financial Data Science Winter 2023, 5 (1) 65-75; DOI: https://doi.org/10.3905/jfds.2022.1.113

  2. Sharma, Avinash

    1. The Complexity of Blockchain Risks Simplified and Displayed: Introduction of the Johns Hopkins Blockchain Risk Map
      Jiarui Chen, Qilin QiQi Tong, Himanshu Verma, Avinash Sharma, Anton Dahbura and Jim Kyung-Soo Liew
      The Journal of Financial Data Science Winter 2023, 5 (1) 96-109; DOI: https://doi.org/10.3905/jfds.2022.1.117

T

  1. Thumm, Dennis

    1. Ensemble Meta-Labeling
      Dennis Thumm, Paolo Barucca and Jacques Francois Joubert
      The Journal of Financial Data Science Winter 2023, 5 (1) 10-26; DOI: https://doi.org/10.3905/jfds.2022.1.114

  2. Tong, Qilin QiQi

    1. The Complexity of Blockchain Risks Simplified and Displayed: Introduction of the Johns Hopkins Blockchain Risk Map
      Jiarui Chen, Qilin QiQi Tong, Himanshu Verma, Avinash Sharma, Anton Dahbura and Jim Kyung-Soo Liew
      The Journal of Financial Data Science Winter 2023, 5 (1) 96-109; DOI: https://doi.org/10.3905/jfds.2022.1.117

  3. Turkington, David

    1. Relevance-Based Prediction: A Transparent and Adaptive Alternative to Machine Learning
      Megan Czasonis, Mark Kritzman and David Turkington
      The Journal of Financial Data Science Winter 2023, 5 (1) 27-46; DOI: https://doi.org/10.3905/jfds.2022.1.110

V

  1. Verma, Himanshu

    1. The Complexity of Blockchain Risks Simplified and Displayed: Introduction of the Johns Hopkins Blockchain Risk Map
      Jiarui Chen, Qilin QiQi Tong, Himanshu Verma, Avinash Sharma, Anton Dahbura and Jim Kyung-Soo Liew
      The Journal of Financial Data Science Winter 2023, 5 (1) 96-109; DOI: https://doi.org/10.3905/jfds.2022.1.117

W

  1. Wang, Xiaoyun

    1. ESG Text Classification: An Application of the Prompt-Based Learning Approach
      Zhengzheng Yang, Le Zhang, Xiaoyun Wang and Yubo Mai
      The Journal of Financial Data Science Winter 2023, 5 (1) 47-57; DOI: https://doi.org/10.3905/jfds.2022.1.115

Y

  1. Yang, Zhengzheng

    1. ESG Text Classification: An Application of the Prompt-Based Learning Approach
      Zhengzheng Yang, Le Zhang, Xiaoyun Wang and Yubo Mai
      The Journal of Financial Data Science Winter 2023, 5 (1) 47-57; DOI: https://doi.org/10.3905/jfds.2022.1.115

Z

  1. Zhang, Le

    1. ESG Text Classification: An Application of the Prompt-Based Learning Approach
      Zhengzheng Yang, Le Zhang, Xiaoyun Wang and Yubo Mai
      The Journal of Financial Data Science Winter 2023, 5 (1) 47-57; DOI: https://doi.org/10.3905/jfds.2022.1.115
Back to top

Explore our content to discover more relevant research

In this issue