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Information ambiguity and firm value

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  • Hussinger, Katrin
  • Pacher, Sebastian

Abstract

A recent theoretical model by Epstein and Schneider (2008) predicts that a firm's assets will be undervalued by the market if the information surrounding these assets is ambiguous. The model further predicts that this effect is amplified if the underlying fundamentals are volatile. This paper provides an empirical test.

Suggested Citation

  • Hussinger, Katrin & Pacher, Sebastian, 2014. "Information ambiguity and firm value," ZEW Discussion Papers 14-093, ZEW - Leibniz Centre for European Economic Research.
    • Handle: RePEc:zbw:zewdip:14093
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    References listed on IDEAS

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    1. Baum, Christopher F. & Caglayan, Mustafa & Talavera, Oleksandr, 2008. "Uncertainty determinants of firm investment," Economics Letters, Elsevier, vol. 98(3), pages 282-287, March.
    2. Evan W. Anderson & Eric Ghysels & Jennifer L. Juergens, 2005. "Do Heterogeneous Beliefs Matter for Asset Pricing?," The Review of Financial Studies, Society for Financial Studies, vol. 18(3), pages 875-924.
    3. Karl B. Diether & Christopher J. Malloy & Anna Scherbina, 2002. "Differences of Opinion and the Cross Section of Stock Returns," Journal of Finance, American Finance Association, vol. 57(5), pages 2113-2141, October.
    4. X. Frank Zhang, 2006. "Information Uncertainty and Stock Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 105-137, February.
    5. Saul Lach & Mark Schankerman, 2008. "Incentives and invention in universities," RAND Journal of Economics, RAND Corporation, vol. 39(2), pages 403-433, June.
    6. Larry G. Epstein & Martin Schneider, 2008. "Ambiguity, Information Quality, and Asset Pricing," Journal of Finance, American Finance Association, vol. 63(1), pages 197-228, February.
    7. Mark Schneider & Jonathan W. Leland & Nathaniel T. Wilcox, 2018. "Ambiguity framed," Journal of Risk and Uncertainty, Springer, vol. 57(2), pages 133-151, October.
      • Mark Schneider & Jonathan Leland & Nathaniel T. Wilcox, 2016. "Ambiguity Framed," Working Papers 16-11, Chapman University, Economic Science Institute.
    8. Bronwyn H. Hall & Adam Jaffe & Manuel Trajtenberg, 2005. "Market Value and Patent Citations," RAND Journal of Economics, The RAND Corporation, vol. 36(1), pages 16-38, Spring.
    9. Güntay, Levent & Hackbarth, Dirk, 2010. "Corporate bond credit spreads and forecast dispersion," Journal of Banking & Finance, Elsevier, vol. 34(10), pages 2328-2345, October.
    10. Ang, Andrew & Hodrick, Robert J. & Xing, Yuhang & Zhang, Xiaoyan, 2009. "High idiosyncratic volatility and low returns: International and further U.S. evidence," Journal of Financial Economics, Elsevier, vol. 91(1), pages 1-23, January.
    11. Nick Bloom & Stephen Bond & John Van Reenen, 2007. "Uncertainty and Investment Dynamics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 74(2), pages 391-415.
    12. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    13. repec:bla:jfinan:v:59:y:2004:i:5:p:1957-1978 is not listed on IDEAS
    14. Fu, Fangjian, 2009. "Idiosyncratic risk and the cross-section of expected stock returns," Journal of Financial Economics, Elsevier, vol. 91(1), pages 24-37, January.
    15. Nicholas Bloom & John Van Reenen, 2002. "Patents, Real Options and Firm Performance," Economic Journal, Royal Economic Society, vol. 112(478), pages 97-116, March.
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    Cited by:

    1. Luisito Bertinelli & Arnaud Bourgain & Florian Léon, 2020. "Corruption and tax compliance: evidence from small retailers in Bamako, Mali," Applied Economics Letters, Taylor & Francis Journals, vol. 27(5), pages 366-370, March.
    2. Hussinger, Katrin & Pacher, Sebastian, 2019. "Information ambiguity, patents and the market value of innovative assets," Research Policy, Elsevier, vol. 48(3), pages 665-675.

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