Capital Structure and dividend Irrelevance with Asymmetric Information
Philip Dybvig and
Jaime F. Zender
No 878, Cowles Foundation Discussion Papers from Cowles Foundation for Research in Economics, Yale University
Abstract:
The Modigliani and Miller propositions on the irrelevancy of capital structure and dividends are shown to be valid in a large class of models with asymmetric information. The main assumption is that managerial compensation is chosen optimally. This differs from most recent papers on this topic, which impose by fiat a suboptimal contract. Even when imperfections internal to the firm preclude optimal investment, there is a separation between incentives and financing. We also show that making prices reflect idiosyncratic information more accurately does not make investors better off, thus negating the motivation of many of the signalling models.
Keywords: Capital structure; dividends; asymmetric information; signalling theory; investment (search for similar items in EconPapers)
Pages: 37 pages
Date: 1988-07
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Published in Review of Financial Studies (1991), 4: 201-219
Downloads: (external link)
https://cowles.yale.edu/sites/default/files/files/pub/d08/d0878.pdf (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found
Related works:
Journal Article: Capital Structure and Dividend Irrelevance with Asymmetric Information (1991) 
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:cwl:cwldpp:878
Ordering information: This working paper can be ordered from
Cowles Foundation, Yale University, Box 208281, New Haven, CT 06520-8281 USA
The price is None.
Access Statistics for this paper
More papers in Cowles Foundation Discussion Papers from Cowles Foundation for Research in Economics, Yale University Yale University, Box 208281, New Haven, CT 06520-8281 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Brittany Ladd ().