Accounting-Based Valuation with Changing Interest Rates
Dan Gode () and
James Ohlson ()
Additional contact information
Dan Gode: New York University
James Ohlson: Arizona State University
Review of Accounting Studies, 2004, vol. 9, issue 4, No 3, 419-441
Abstract:
Abstract This paper generalizes Ohlson’s [Contemporary Accounting Research Vol. 11 No. 2. 661–687 (1995)] equity valuation framework to allow for stochastic interest rates. Much of this analysis initially deals with the specialized setting in which earnings suffice for cum-dividend value. In such a case, the beginning-of-period (lagged) rate determines the capitalization factor, not the current rate. The underlying earnings dynamic modifies the traditional random walk model via an additional term, namely current earnings multiplied by the percentage change in interest rates. The general model retains these basic aspects of the earnings-sufficiency setting. Empirical implications bear on the returns-to-earnings regression: The earnings-response coefficient decreases as the beginning-of-period rate increases.
Keywords: stochastic interest rates; valuation; Ohlson model; random walk model of earnings; permanent earnings; earnings response coefficient (search for similar items in EconPapers)
Date: 2004
References: Add references at CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11142-004-7791-9 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:reaccs:v:9:y:2004:i:4:d:10.1007_s11142-004-7791-9
Ordering information: This journal article can be ordered from
http://www.springer.com/accounting/journal/11142
DOI: 10.1007/s11142-004-7791-9
Access Statistics for this article
Review of Accounting Studies is currently edited by Paul Fischer
More articles in Review of Accounting Studies from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().