Ex ante variables and carve‐out parent returns

Ex ante variables and carve‐out parent returns Purpose – The purpose of this paper is to provide a comprehensive initial evaluation of the changing issuer objective and partial price adjustment hypotheses as applied to carve‐out parent initial and three‐year returns for the period 1988‐2006. Design/methodology/approach – Using five primary variables: the percentage of the subsidiary retained by the parent, the ratio of offering size to parent market capitalization, filing range adjustments, the percentage of the offering used to retire subsidiary debt or to pay dividends, and the CBOE volatility index to predict initial and three‐year returns, the paper shows that ex ante variables can predict carve‐out parent initial and three‐year returns. Findings – The paper shows that public information known prior to the offer date influences 7.52 percent of the variation in announcement, 5.57‐38.31 percent of the variation in ex‐date and 6 percent of the variation in three‐year market‐adjusted equity carve‐out parent returns. Originality/value – This study makes several contributions to the literature. Although prior studies focus on ex post determinants of equity carve‐out returns, this study is the first to explore ex ante predictors of equity carve‐out parent returns. The implications of these results are that publicly available information known prior to the carve‐out offering date can influence market‐adjusted initial and three‐year parent carve‐out returns and can explain 6‐17 percent of the variation. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Managerial Finance Emerald Publishing

Ex ante variables and carve‐out parent returns

Managerial Finance, Volume 37 (10): 25 – Aug 30, 2011

Loading next page...
 
/lp/emerald-publishing/ex-ante-variables-and-carve-out-parent-returns-wk7P7e09SF
Publisher
Emerald Publishing
Copyright
Copyright © 2011 Emerald Group Publishing Limited. All rights reserved.
ISSN
0307-4358
D.O.I.
10.1108/03074351111161574
Publisher site
See Article on Publisher Site

Abstract

Purpose – The purpose of this paper is to provide a comprehensive initial evaluation of the changing issuer objective and partial price adjustment hypotheses as applied to carve‐out parent initial and three‐year returns for the period 1988‐2006. Design/methodology/approach – Using five primary variables: the percentage of the subsidiary retained by the parent, the ratio of offering size to parent market capitalization, filing range adjustments, the percentage of the offering used to retire subsidiary debt or to pay dividends, and the CBOE volatility index to predict initial and three‐year returns, the paper shows that ex ante variables can predict carve‐out parent initial and three‐year returns. Findings – The paper shows that public information known prior to the offer date influences 7.52 percent of the variation in announcement, 5.57‐38.31 percent of the variation in ex‐date and 6 percent of the variation in three‐year market‐adjusted equity carve‐out parent returns. Originality/value – This study makes several contributions to the literature. Although prior studies focus on ex post determinants of equity carve‐out returns, this study is the first to explore ex ante predictors of equity carve‐out parent returns. The implications of these results are that publicly available information known prior to the carve‐out offering date can influence market‐adjusted initial and three‐year parent carve‐out returns and can explain 6‐17 percent of the variation.

Journal

Managerial FinanceEmerald Publishing

Published: Aug 30, 2011

Keywords: Carve‐outs; Spin‐offs; Divestitures; Equity capital; Corporate ownership; Economic returns

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create folders to
organize your research

Export folders, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off