An edition of Estimating industry multiples (1999)

Estimating industry multiples

  • 0 Ratings
  • 0 Want to read
  • 0 Currently reading
  • 0 Have read
Estimating industry multiples
Malcolm Baker
Not in Library

My Reading Lists:

Create a new list

Check-In

×Close
Add an optional check-in date. Check-in dates are used to track yearly reading goals.
Today

  • 0 Ratings
  • 0 Want to read
  • 0 Currently reading
  • 0 Have read

Buy this book

Last edited by MARC Bot
May 28, 2023 | History
An edition of Estimating industry multiples (1999)

Estimating industry multiples

  • 0 Ratings
  • 0 Want to read
  • 0 Currently reading
  • 0 Have read

We analyze industry multiples for the S&P 500 in 1995. We use Gibbs sampling to estimate simultaneously the error specification and small sample minimum variance multiples for 22 industries. In addition, we consider the performance of four common multiples : the simple mean, the harmonic mean, the value-weighted mean, and the median. The harmonic mean is a close approximation to the Gibbs minimum variance estimates. Finally, we show that EBITDA is a better single basis of substitutability than EBIT or revenue in the industries that we examine.

Publish Date
Language
English
Pages
30

Buy this book

Edition Availability
Cover of: Estimating industry multiples

Add another edition?

Book Details


Edition Notes

"First draft: May 1999. Rev. June 11, 1999"--Added title page.

"This study has been supported by the Division of Research of the Harvard Graduate School of Business Administration"--Added title page.

Includes bibliographical references.

The Physical Object

Pagination
30 leaves
Number of pages
30

ID Numbers

Open Library
OL48049897M
OCLC/WorldCat
229432358

Community Reviews (0)

Feedback?
No community reviews have been submitted for this work.

Lists

This work does not appear on any lists.

History

Download catalog record: RDF / JSON / OPDS | Wikipedia citation
May 28, 2023 Created by MARC Bot Imported from harvard_bibliographic_metadata record