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Information Environment and The Cost of Capital

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Author Info

  • Orie Barron

    ()
    (The Pennsylvania State University)

  • Xuguang Sheng

    ()
    (American University)

  • Maya Thevenot

    ()
    (Florida Atlantic University)

Abstract

In empirical tests guided by recent theory (e.g., Hughes, Liu and Liu 2007; and Lambert, Leuz and Verrecchia 2012), we examine the joint effects of information asymmetry and information precision on the cost of capital and how these effects vary based on the amount and quality of available information and the level of market competition. Consistent with theory, we find that average information precision is an important factor that may alter the relation between information asymmetry and the cost of capital, leading to erroneous inferences, if not considered. We also show that, while information asymmetry increases the cost of capital in most settings, it decreases the cost of capital when the amount of public information is low, while it has no effect when the total information is of high quality and when there is a high level of market competition. Our final results indicate that the precision of private information decreases the cost of capital when the amount of public information is low, while it increases it when the quality of total information is low. Besides examining various aspects of the environment jointly, our study is also unique in that we use better measures of information asymmetry and precision, which allows us to tease out the economic significance of each factor on cost of capital. We find that cost of equity capital varies greatly with our measures of information asymmetry and average information precision. For example, our regression estimates suggest that information asymmetry and average information precision are comparable in importance to equity beta and firm size in determining firms’ cost of capital.

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File URL: http://www.gwu.edu/~forcpgm/2013-003.pdf
File Function: First version, 2013
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Bibliographic Info

Paper provided by The George Washington University, Department of Economics, Research Program on Forecasting in its series Working Papers with number 2013-003.

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Length: 45 pages
Date of creation: Apr 2013
Date of revision:
Handle: RePEc:gwc:wpaper:2013-003

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Keywords: cost of capital; information quality; information asymmetry; ST uncertainty; BKLS;

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References

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  1. Sheng, Xuguang & Thevenot, Maya, 2012. "A new measure of earnings forecast uncertainty," Journal of Accounting and Economics, Elsevier, Elsevier, vol. 53(1), pages 21-33.
  2. Thompson, Samuel B., 2011. "Simple formulas for standard errors that cluster by both firm and time," Journal of Financial Economics, Elsevier, Elsevier, vol. 99(1), pages 1-10, January.
  3. Barth, Mary E. & Konchitchki, Yaniv & Landsman, Wayne R., 2013. "Cost of capital and earnings transparency," Journal of Accounting and Economics, Elsevier, Elsevier, vol. 55(2), pages 206-224.
  4. Leland, Hayne E, 1992. "Insider Trading: Should It Be Prohibited?," Journal of Political Economy, University of Chicago Press, University of Chicago Press, vol. 100(4), pages 859-87, August.
  5. Ng, Jeffrey, 2011. "The effect of information quality on liquidity risk," Journal of Accounting and Economics, Elsevier, Elsevier, vol. 52(2), pages 126-143.
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Cited by:
  1. Xuguang Sheng & Maya Thevenot, 2013. "Differential Interpretation of Public Information: Estimation and Inference," Working Papers, American University, Department of Economics 2013-03, American University, Department of Economics.

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