An edition of Estimating the equity premium (2007)

Estimating the equity premium

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Estimating the equity premium
John Y. Campbell
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Last edited by MARC Bot
December 19, 2020 | History
An edition of Estimating the equity premium (2007)

Estimating the equity premium

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To estimate the equity premium, it is helpful to use finance theory: not the old-fashioned theory that efficient markets imply a constant equity premium, but theory that restricts the time-series behavior of valuation ratios, and that links the cross-section of stock prices to the level of the equity premium. Under plausible conditions, valuation ratios such as the dividend-price ratio should not have trends or explosive behavior. This fact can be used to strengthen the evidence for predictability in stock returns. Steady-state valuation models are also useful predictors of stock returns given the high degree of persistence in valuation ratios and the difficulty of estimating free parameters in regression models for stock returns. A steady-state approach suggests that the world geometric average equity premium was almost 4% at the end of March 2007, implying a world arithmetic average equity premium somewhat above 5%. Both valuation ratios and the cross-section of stock prices imply that the equity premium fell considerably in the late 20th Century, but has risen modestly in the early years of the 21st Century.

Publish Date
Language
English
Pages
26

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Edition Availability
Cover of: Estimating the equity premium
Estimating the equity premium
2007, National Bureau of Economic Research
in English

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Book Details


Edition Notes

"September 2007"

Includes bibliographical references (p. 19-23).

Also available in PDF from the NBER world wide web site (www.nber.org).

Published in
Cambridge, Mass
Series
NBER working paper series -- no. 13423., Working paper series (National Bureau of Economic Research) -- working paper no. 13423.

Classifications

Library of Congress
HB1

The Physical Object

Pagination
26 p. :
Number of pages
26

ID Numbers

Open Library
OL17635424M
LCCN
2007616593
OCLC/WorldCat
173822152

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Download catalog record: RDF / JSON / OPDS | Wikipedia citation
December 19, 2020 Edited by MARC Bot import existing book
December 15, 2009 Edited by WorkBot link works
April 25, 2009 Edited by ImportBot add OCLC number
September 29, 2008 Created by ImportBot Imported from Oregon Libraries MARC record