Skip to main content

Main menu

  • Home
  • Current Issue
  • Past Issues
  • Videos
  • Submit an article
  • More
    • About JOI
    • Editorial Board
    • Published Ahead of Print (PAP)
  • IPR Logo
  • 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 Investing
  • IPR Logo
  • About Us
  • Journals
  • Publish
  • Advertise
  • Videos
  • Webinars
  • More
    • Awards
    • Article Licensing
    • Academic Use
  • Sample our Content
  • Request a Demo
  • Log in
The Journal of Investing

The Journal of Investing

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

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

Seeking Alpha from Dividend Announcements: Big-Data Insights from Joining CAR and EVA Style Analysis

Atreya Chakraborty, James L. Grant, Emery A. Trahan and Bhakti Varma
The Journal of Investing August 2021, 30 (5) 107-126; DOI: https://doi.org/10.3905/joi.2021.1.183
Atreya Chakraborty
is a professor of finance at the University of Massachusetts Boston in Boston, MA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
James L. Grant
is a senior associate dean and associate professor of finance at the University of Massachusetts Boston in Boston, MA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Emery A. Trahan
is a senior associate dean of faculty and research and professor of finance at Northeastern University in Boston, MA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Bhakti Varma
is a research affiliate at Northeastern University in Boston, MA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Info & Metrics
  • PDF (Subscribers Only)
Loading

Click to login and read the full article.

Don’t have access? Click here to request a demo 

Alternatively, Call a member of the team to discuss membership options
US and Overseas: +1 646-931-9045
UK: 0207 139 1600

Abstract

The authors conduct a big-data analysis to assess the pricing impact of dividend announcements. They join the traditional cumulative abnormal return (CAR) approach to estimating abnormal returns with economic value added (EVA) style analysis. The empirical results are significant for a sample of 172,481 dividend announcements during the 23 years from 1997 through 2019. For active investors, alpha-generating trading returns may be available by longing the stocks of dividend-increasing companies and shorting the stocks of dividend-deceasing companies. A notable finding linked to EVA style analysis is that alpha returns on dividend-increasing companies were available on the stocks of value-creating growth companies, the stocks of underinvesting companies, and especially the stocks of “wise contraction or cyclical restructuring” companies in need of a turnaround growth signal. Alpha returns on dividend-decreasing companies were available on the stocks of value-destroying growth companies and the “wise restructuring” companies. The authors also find significant dividend announcement CARs and potential alpha-generating trading opportunities across 10 S&P-classified sectors.

TOPICS: Security analysis and valuation, quantitative methods, big data/machine learning, performance measurement

Key Findings

  • ▪ The authors conduct a big-data analysis of 172,481 dividend announcements on stock returns in the 1997–2019 period. Their CAR findings on dividend-increasing and dividend-decreasing companies confirm both information signaling at time of announcement and the potential for alpha-generating trading returns (long–short) during the immediate days thereafter.

  • ▪ Based on EVA style classifications, they find that alpha returns on dividend-increasing companies were available on the stocks of value-creating growth companies, the stocks of underinvesting companies with positive EVA (ROIC > WACC), and especially, the stocks of “wise restructuring” companies in need of a turnaround growth signal. Alpha returns on dividend-decreasing companies were potentially available by shorting the stocks of value-destroying growth companies and the “wise restructuring” companies.

  • ▪ They also find significant dividend announcement CARs, along with potential alpha-generating trading opportunities, across 10 S&P-classified sectors.

  • © 2021 Pageant Media Ltd
View Full Text

Don’t have access? Click here to request a demo

Alternatively, Call a member of the team to discuss membership options

US and Overseas: +1 646-931-9045

UK: 0207 139 1600

Log in using your username and password

Forgot your user name or password?
PreviousNext
Back to top

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 Investing: 30 (5)
The Journal of Investing
Vol. 30, Issue 5
August 2021
  • Table of Contents
  • Index by author
  • Complete Issue (PDF)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on The Journal of Investing.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Seeking Alpha from Dividend Announcements: Big-Data Insights from Joining CAR and EVA Style Analysis
(Your Name) has sent you a message from The Journal of Investing
(Your Name) thought you would like to see the The Journal of Investing web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
Seeking Alpha from Dividend Announcements: Big-Data Insights from Joining CAR and EVA Style Analysis
Atreya Chakraborty, James L. Grant, Emery A. Trahan, Bhakti Varma
The Journal of Investing Jul 2021, 30 (5) 107-126; DOI: 10.3905/joi.2021.1.183

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Save To My Folders
Share
Seeking Alpha from Dividend Announcements: Big-Data Insights from Joining CAR and EVA Style Analysis
Atreya Chakraborty, James L. Grant, Emery A. Trahan, Bhakti Varma
The Journal of Investing Jul 2021, 30 (5) 107-126; DOI: 10.3905/joi.2021.1.183
del.icio.us logo Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Tweet Widget Facebook Like LinkedIn logo

Jump to section

  • Article
    • Abstract
    • LITERATURE REVIEW
    • DATA AND RESEARCH METHODOLOGY
    • EMPIRICAL FINDINGS
    • SUMMARY AND CONCLUSION
    • ACKNOWLEDGMENTS
    • ENDNOTES
    • REFERENCES
  • Info & Metrics
  • PDF

Similar Articles

Cited By...

  • No citing articles found.
  • Google Scholar
LONDON
One London Wall, London, EC2Y 5EA
United Kingdom
+44 207 139 1600
 
NEW YORK
41 Madison Avenue, New York, NY 10010
USA
+1 646 931 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
  • Log In
  • Update your profile
  • Give us your feedback

© 2022 Pageant Media Ltd | All Rights Reserved | ISSN: 1068-0896 | E-ISSN: 2168-8613

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