Panel Discussion Summary: Alternative Data and Machine Learning

Alternative data and machine learning present many exciting opportunities for researchers. In this panel discussion, we provide background information, the current state of research, investment applications, and a glimpse into the future using alternative data and machine learning. As barriers to adoption are addressed, the growth of alternative data and machine learning will continue its exponential trend.

This article is based on a special topics panel discussion held on November 19, 2021, at the Southern Finance Association annual conference.

Files

Metadata

Work Title Panel Discussion Summary: Alternative Data and Machine Learning
Access
Open Access
Creators
  1. Greg Filbeck
  2. Keith Black
  3. Aaron Filbeck
  4. Hossein Kazemi
License In Copyright (Rights Reserved)
Work Type Article
Publisher
  1. Journal of Alternative Investments
Publication Date September 1, 2022
Publisher Identifier (DOI)
  1. https://doi.org/10.3905/jai.2022.1.173
Deposited February 17, 2023

Versions

Analytics

Collections

This resource is currently not in any collection.

Work History

Version 1
published

  • Created
  • Added Filbeck_2022_Alternative_Data_and_Machine_Learning.pdf
  • Added Creator Greg Filbeck
  • Added Creator Keith Black
  • Added Creator Aaron Filbeck
  • Added Creator Hossein Kazemi
  • Published
  • Updated Work Title, Description Show Changes
    Work Title
    • Alternative Data and Machine Learning
    • Panel Discussion Summary: Alternative Data and Machine Learning
    Description
    • <p>Alternative data and machine learning present many exciting opportunities for researchers. In this panel discussion, we provide background information, the current state of research, investment applications, and a glimpse into the future using alternative data and machine learning. As barriers to adoption are addressed, the growth of alternative data and machine learning will continue its exponential trend.</p>
    • <p>Alternative data and machine learning present many exciting opportunities for researchers. In this panel discussion, we provide background information, the current state of research, investment applications, and a glimpse into the future using alternative data and machine learning. As barriers to adoption are addressed, the growth of alternative data and machine learning will continue its exponential trend.</p>
    • <p>This article is based on a special topics panel discussion held on November 19, 2021, at the Southern Finance Association annual conference.</p>
  • Updated