IDEAS home Printed from https://ideas.repec.org/p/zbw/zewdip/14093.html
   My bibliography  Save this paper

Information ambiguity and firm value

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/103547/1/802532098.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    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. 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.
    4. 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.
    5. 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.
    6. X. Frank Zhang, 2006. "Information Uncertainty and Stock Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 105-137, February.
    7. Saul Lach & Mark Schankerman, 2008. "Incentives and invention in universities," RAND Journal of Economics, RAND Corporation, vol. 39(2), pages 403-433, June.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Güntay, Levent & Hackbarth, Dirk, 2010. "Corporate bond credit spreads and forecast dispersion," Journal of Banking & Finance, Elsevier, vol. 34(10), pages 2328-2345, October.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hussinger, Katrin & Pacher, Sebastian, 2019. "Information ambiguity, patents and the market value of innovative assets," Research Policy, Elsevier, vol. 48(3), pages 665-675.
    2. 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.
    3. Lam, F.Y. Eric C. & Wei, K.C. John, 2011. "Limits-to-arbitrage, investment frictions, and the asset growth anomaly," Journal of Financial Economics, Elsevier, vol. 102(1), pages 127-149, October.
    4. Doran, James & Jiang, Danling & Peterson, David, 2007. "Short-Sale Constraints and the Non-January Idiosyncratic Volatility Puzzle," MPRA Paper 4995, University Library of Munich, Germany.
    5. Zhu, Zhaobo & Ding, Wenjie & Jin, Yi & Shen, Dehua, 2023. "Dissecting the idiosyncratic volatility puzzle: A fundamental analysis approach," Research in International Business and Finance, Elsevier, vol. 66(C).
    6. Amit Goyal, 2012. "Empirical cross-sectional asset pricing: a survey," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 26(1), pages 3-38, March.
    7. Leon Li & Nen-Chen Richard Hwang & Gilbert V. Nartea, 2019. "Effects of Earnings Management Strategy on Earnings Predictability: A Quantile Regression Approach Based on Opportunistic Versus Efficient Earnings Management," Working Papers in Economics 19/09, University of Canterbury, Department of Economics and Finance.
    8. Hollstein, Fabian & Nguyen, Duc Binh Benno & Prokopczuk, Marcel, 2019. "Asset prices and “the devil(s) you know”," Journal of Banking & Finance, Elsevier, vol. 105(C), pages 20-35.
    9. Cao, Jie & Han, Bing, 2016. "Idiosyncratic risk, costly arbitrage, and the cross-section of stock returns," Journal of Banking & Finance, Elsevier, vol. 73(C), pages 1-15.
    10. Chung, Kee H. & Wang, Junbo & Wu, Chunchi, 2019. "Volatility and the cross-section of corporate bond returns," Journal of Financial Economics, Elsevier, vol. 133(2), pages 397-417.
    11. Autore, Don M. & Billingsley, Randall S. & Schneller, Meir I., 2009. "Information uncertainty and auditor reputation," Journal of Banking & Finance, Elsevier, vol. 33(2), pages 183-192, February.
    12. Chen, Honghui & Zheng, Minrong, 2021. "IPO underperformance and the idiosyncratic risk puzzle," Journal of Banking & Finance, Elsevier, vol. 131(C).
    13. Peterson, David R. & Smedema, Adam R., 2011. "The return impact of realized and expected idiosyncratic volatility," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2547-2558, October.
    14. Guo, Hui & Savickas, Robert, 2010. "Relation between time-series and cross-sectional effects of idiosyncratic variance on stock returns," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1637-1649, July.
    15. Anindita Chakravarty & Rajdeep Grewal, 2011. "The Stock Market in the Driver's Seat! Implications for R&D and Marketing," Management Science, INFORMS, vol. 57(9), pages 1594-1609, March.
    16. Liu, Hao & Zhang, Qun, 2021. "Firm age and realized idiosyncratic return volatility in China: The role of short-sales constraints," International Review of Financial Analysis, Elsevier, vol. 75(C).
    17. Zareei, Abalfazl, 2021. "Cross-momentum: Tracking idiosyncratic shocks," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 177-199.
    18. Karapandza, Rasa, 2016. "Stock returns and future tense language in 10-K reports," Journal of Banking & Finance, Elsevier, vol. 71(C), pages 50-61.
    19. Yang, Lisa (Zongfei) & Goh, Jeremy & Chiyachantana, Chiraphol, 2016. "Valuation uncertainty, market sentiment and the informativeness of institutional trades," Journal of Banking & Finance, Elsevier, vol. 72(C), pages 81-98.
    20. Kelley Bergsma & Jitendra Tayal, 2019. "Short Interest and Lottery Stocks," Financial Management, Financial Management Association International, vol. 48(1), pages 187-227, March.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:zewdip:14093. See general information about how to correct material in RePEc.

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/zemande.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.