Corporate risk management and dividend signaling theory
This article investigates the effect of corporate risk management on dividend policy. We extend the signaling framework of Bhattacharya [1979. Bell Journal of Economics 10, 259–270] by including the possibility of hedging the future cash flow. We find that the higher the hedging level, the lower the incremental dividend. This result is intuitive. It is in line with studies suggesting that cash flows’ predictability decreases the marginal gain from costly signaling through dividends and the assertion that corporate hedging decreases cash flow volatility. It is also in line with the purported positive relation between information asymmetry and dividend policy (e.g., Miller and Rock [1985. The Journal of Finance 40, 1031–1051]) and the assertion that risk management alleviates the information asymmetry problem (e.g., DaDalt et al. [2002. The Journal of Future Markets 22, 261–267]). Our theoretical model has testable implications.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Brav, Alon & Graham, John R. & Harvey, Campbell R. & Michaely, Roni, 2005.
"Payout policy in the 21st century,"
Journal of Financial Economics,
Elsevier, vol. 77(3), pages 483-527, September.
- Miller, Merton H & Rock, Kevin, 1985. " Dividend Policy under Asymmetric Information," Journal of Finance, American Finance Association, vol. 40(4), pages 1031-51, September.
- Gerald D. Gay & Jouahn Nam & Marian Turac, 2002. "How Firms Manage Risk: The Optimal Mix Of Linear And Non-Linear Derivatives," Journal of Applied Corporate Finance, Morgan Stanley, vol. 14(4), pages 82-93.
- Dichev, Ilia D. & Tang, Vicki Wei, 2009. "Earnings volatility and earnings predictability," Journal of Accounting and Economics, Elsevier, vol. 47(1-2), pages 160-181, March.
- Froot, Kenneth A & Scharfstein, David S & Stein, Jeremy C, 1993.
" Risk Management: Coordinating Corporate Investment and Financing Policies,"
Journal of Finance,
American Finance Association, vol. 48(5), pages 1629-58, December.
- Kenneth A. Froot & David S. Scharfstein & Jeremy C. Stein, 1992. "Risk Management: Coordinating Corporate Investment and Financing Policies," NBER Working Papers 4084, National Bureau of Economic Research, Inc.
- DeMarzo, Peter M & Duffie, Darrell, 1995. "Corporate Incentives for Hedging and Hedge Accounting," Review of Financial Studies, Society for Financial Studies, vol. 8(3), pages 743-71.
- James Poterba, 2004.
"Taxation and Corporate Payout Policy,"
NBER Working Papers
10321, National Bureau of Economic Research, Inc.
- Franklin Allen & Roni Michaely, 2002.
Center for Financial Institutions Working Papers
01-21, Wharton School Center for Financial Institutions, University of Pennsylvania.
- Pinghsun Huang & Harley E. Ryan & Roy A. Wiggins, 2007. "The Influence Of Firm- And Ceo-Specific Characteristics On The Use Of Nonlinear Derivative Instruments," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 30(3), pages 415-436.
- Dennis Frestad, 2009. "Why Most Firms Choose Linear Hedging Strategies," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 32(2), pages 157-167.
When requesting a correction, please mention this item's handle: RePEc:eee:finlet:v:8:y:2011:i:4:p:188-195. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.