IDEAS home Printed from https://ideas.repec.org/a/eee/pacfin/v26y2014icp156-175.html
   My bibliography  Save this article

Information attributes, information asymmetry and industry sector returns

Author

Listed:
  • Gordon, Narelle
  • Watts, Edward
  • Wu, Qiongbing

Abstract

We examine whether the probability of informed trading (‘PIN’) is a determinant of stock returns in Australia, an alternative market with considerably different information attributes to the U.S. Uniquely, we contrast PIN's price effect for the country's historically dichotomous sectors, resources and industrials. Using data for the period from 1996 to 2010, we find a significantly positive relationship between PIN and expected returns among industrials sector stocks, providing evidence in support of Easley and O'Hara (2004). We observe no PIN premium among resources sector stocks and among those with no record of operating revenues, both notable for their speculative nature and uncertainty about true asset values. Our results are consistent with previous empirical evidence that documents strong investor behavioural biases in valuing extremely uncertain stocks or hard-to-value stocks (Kumar, 2009). Our findings shed light on the existing mixed evidence that a strong PIN premium exists in NYSE and AMEX but not in NASDAQ where high-tech stocks are prevalent, and suggest that caution is needed when applying PIN in the pricing of highly speculative stocks.

Suggested Citation

  • Gordon, Narelle & Watts, Edward & Wu, Qiongbing, 2014. "Information attributes, information asymmetry and industry sector returns," Pacific-Basin Finance Journal, Elsevier, vol. 26(C), pages 156-175.
  • Handle: RePEc:eee:pacfin:v:26:y:2014:i:c:p:156-175
    DOI: 10.1016/j.pacfin.2013.12.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0927538X13000905
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.pacfin.2013.12.002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Martin D.D. Evans & Richard K. Lyons, 2017. "Order Flow and Exchange Rate Dynamics," World Scientific Book Chapters, in: Studies in Foreign Exchange Economics, chapter 6, pages 247-290, World Scientific Publishing Co. Pte. Ltd..
    2. Kathleen Fuller & Bonnie Ness & Robert Ness, 2010. "Is information risk priced for NASDAQ-listed stocks?," Review of Quantitative Finance and Accounting, Springer, vol. 34(3), pages 301-312, April.
    3. Eugene F. Fama & Kenneth R. French, 1998. "Value versus Growth: The International Evidence," Journal of Finance, American Finance Association, vol. 53(6), pages 1975-1999, December.
    4. David Easley & Soeren Hvidkjaer & Maureen O'Hara, 2002. "Is Information Risk a Determinant of Asset Returns?," Journal of Finance, American Finance Association, vol. 57(5), pages 2185-2221, October.
    5. Phillip D. O'Shea & Andrew C. Worthington & David A. Griffiths & Dionigi Gerace, 2008. "Patterns of disclosure and volatility effects in speculative industries," Journal of Financial Regulation and Compliance, Emerald Group Publishing Limited, vol. 16(3), pages 261-273, July.
    6. Philip Gray & Ping-Sheng Koh & Yen H Tong, 2009. "Accruals Quality, Information Risk and Cost of Capital: Evidence from Australia," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 36(1-2), pages 51-72.
    7. Bardong, Florian & Bartram, Söhnke M. & Yadav, Pradeep K., 2005. "Informed Trading, Information Asymmetry and Pricing of Information Risk: Empirical Evidence from the NYSE," MPRA Paper 13586, University Library of Munich, Germany, revised 10 Oct 2008.
    8. Mohanram, Partha & Rajgopal, Shiva, 2009. "Is PIN priced risk?," Journal of Accounting and Economics, Elsevier, vol. 47(3), pages 226-243, June.
    9. Easley, David & O'Hara, Maureen & Paperman, Joseph, 1998. "Financial analysts and information-based trade," Journal of Financial Markets, Elsevier, vol. 1(2), pages 175-201, August.
    10. Ron Bird & Matthew Grosse & Danny Yeung, 2013. "The market response to exploration, resource and reserve announcements by mining companies: Australian data," Australian Journal of Management, Australian School of Business, vol. 38(2), pages 311-331, August.
    11. Andrew Ferguson & Matthew Grosse & Stephen Kean & Tom Scott, 2011. "Your Governance or Mine?," Australian Accounting Review, CPA Australia, vol. 21(4), pages 406-417, December.
    12. Easley, David & Hvidkjaer, Soeren & O’Hara, Maureen, 2010. "Factoring Information into Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(2), pages 293-309, April.
    13. Russell Poskitt, 2005. "Are Mining-Exploration Stocks More Prone to Informed Trading Than Mining-Production Stocks?," Australian Journal of Management, Australian School of Business, vol. 30(2), pages 201-227, December.
    14. Lee, Charles M C & Ready, Mark J, 1991. "Inferring Trade Direction from Intraday Data," Journal of Finance, American Finance Association, vol. 46(2), pages 733-746, June.
    15. McNichols, Maureen & Trueman, Brett, 1994. "Public disclosure, private information collection, and short-term trading," Journal of Accounting and Economics, Elsevier, vol. 17(1-2), pages 69-94, January.
    16. Litzenberger, Robert H. & Ramaswamy, Krishna, 1979. "The effect of personal taxes and dividends on capital asset prices : Theory and empirical evidence," Journal of Financial Economics, Elsevier, vol. 7(2), pages 163-195, June.
    17. Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
    18. Robert Faff, 2001. "An Examination of the Fama and French Three-Factor Model Using Commercially Available Factors," Australian Journal of Management, Australian School of Business, vol. 26(1), pages 1-17, June.
    19. Boehmer, Ekkehart & Grammig, Joachim & Theissen, Erik, 2007. "Estimating the probability of informed trading--does trade misclassification matter?," Journal of Financial Markets, Elsevier, vol. 10(1), pages 26-47, February.
    20. Aslan, Hadiye & Easley, David & Hvidkjaer, Soeren & O'Hara, Maureen, 2011. "The characteristics of informed trading: Implications for asset pricing," Journal of Empirical Finance, Elsevier, vol. 18(5), pages 782-801.
    21. Dimson, Elroy, 1979. "Risk measurement when shares are subject to infrequent trading," Journal of Financial Economics, Elsevier, vol. 7(2), pages 197-226, June.
    22. Vega, Clara, 2006. "Stock price reaction to public and private information," Journal of Financial Economics, Elsevier, vol. 82(1), pages 103-133, October.
    23. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    24. BrownJr., William O. & Burdekin, Richard C. K., 2000. "Fraud and financial markets: the 1997 collapse of the junior mining stocks," Journal of Economics and Business, Elsevier, vol. 52(3), pages 277-288.
    25. David Easley & Maureen O'hara, 2004. "Information and the Cost of Capital," Journal of Finance, American Finance Association, vol. 59(4), pages 1553-1583, August.
    26. Odders-White, Elizabeth R., 2000. "On the occurrence and consequences of inaccurate trade classification," Journal of Financial Markets, Elsevier, vol. 3(3), pages 259-286, August.
    27. Tim Brailsford & Clive Gaunt & Michael A O’Brien, 2012. "Size and book-to-market factors in Australia," Australian Journal of Management, Australian School of Business, vol. 37(2), pages 261-281, August.
    28. Paolo Pasquariello & Clara Vega, 2007. "Informed and Strategic Order Flow in the Bond Markets," The Review of Financial Studies, Society for Financial Studies, vol. 20(6), pages 1975-2019, November.
    29. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    30. Duarte, Jefferson & Young, Lance, 2009. "Why is PIN priced?," Journal of Financial Economics, Elsevier, vol. 91(2), pages 119-138, February.
    31. Philip Gray & Ping‐Sheng Koh & Yen H Tong, 2009. "Accruals Quality, Information Risk and Cost of Capital: Evidence from Australia," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 36(1‐2), pages 51-72, January.
    32. Ray Ball & Philip Brown, 1980. "Risk and Return from Equity Investments in the Australian Mining Industry: January 1958 — February 1979," Australian Journal of Management, Australian School of Business, vol. 5(1-2), pages 45-66, April.
    33. Andrew Ferguson & Greg Clinch & Stephen Kean, 2011. "Predicting the Failure of Developmental Gold Mining Projects," Australian Accounting Review, CPA Australia, vol. 21(1), pages 44-53, March.
    34. Clive Gaunt, 2004. "Size and book to market effects and the Fama French three factor asset pricing model: evidence from the Australian stockmarket," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 44(1), pages 27-44, March.
    35. T. Clifton Green, 2004. "Economic News and the Impact of Trading on Bond Prices," Journal of Finance, American Finance Association, vol. 59(3), pages 1201-1234, June.
    36. Chan, Howard W. & Faff, Robert W., 2003. "An investigation into the role of liquidity in asset pricing: Australian evidence," Pacific-Basin Finance Journal, Elsevier, vol. 11(5), pages 555-572, November.
    37. Hasbrouck, Joel, 1988. "Trades, quotes, inventories, and information," Journal of Financial Economics, Elsevier, vol. 22(2), pages 229-252, December.
    38. John Simon, 2003. "Three Australian Asset-price Bubbles," RBA Annual Conference Volume (Discontinued), in: Anthony Richards & Tim Robinson (ed.),Asset Prices and Monetary Policy, Reserve Bank of Australia.
    39. Easley, David, et al, 1996. "Liquidity, Information, and Infrequently Traded Stocks," Journal of Finance, American Finance Association, vol. 51(4), pages 1405-1436, September.
    40. Kumar, Alok, 2009. "Hard-to-Value Stocks, Behavioral Biases, and Informed Trading," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(6), pages 1375-1401, December.
    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. Petchey, James & Wee, Marvin & Yang, Joey, 2016. "Pinning down an effective measure for probability of informed trading," Pacific-Basin Finance Journal, Elsevier, vol. 40(PB), pages 456-475.

    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. Yan, Yuxing & Zhang, Shaojun, 2014. "Quality of PIN estimates and the PIN-return relationship," Journal of Banking & Finance, Elsevier, vol. 43(C), pages 137-149.
    2. Aslan, Hadiye & Easley, David & Hvidkjaer, Soeren & O'Hara, Maureen, 2011. "The characteristics of informed trading: Implications for asset pricing," Journal of Empirical Finance, Elsevier, vol. 18(5), pages 782-801.
    3. Hwang, Lee-Seok & Lee, Woo-Jong & Lim, Seung-Yeon & Park, Kyung-Ho, 2013. "Does information risk affect the implied cost of equity capital? An analysis of PIN and adjusted PIN," Journal of Accounting and Economics, Elsevier, vol. 55(2), pages 148-167.
    4. Vega, Clara, 2006. "Stock price reaction to public and private information," Journal of Financial Economics, Elsevier, vol. 82(1), pages 103-133, October.
    5. Hoang Luong Luong & Huong Giang (Lily) Nguyen & Xiangkang Yin, 2015. "When Is a Firm's Information Asymmetry Priced? The Role of Institutional Investors," International Review of Finance, International Review of Finance Ltd., vol. 15(1), pages 55-88, March.
    6. Michael J. Brennan & Sahn-Wook Huh & Avanidhar Subrahmanyam, 2016. "Asymmetric Effects of Informed Trading on the Cost of Equity Capital," Management Science, INFORMS, vol. 62(9), pages 2460-2480, September.
    7. Schreder, Max, 2018. "Idiosyncratic information and the cost of equity capital: A meta-analytic review of the literature," Journal of Accounting Literature, Elsevier, vol. 41(C), pages 142-172.
    8. Lai, Sandy & Ng, Lilian & Zhang, Bohui, 2014. "Does PIN affect equity prices around the world?," Journal of Financial Economics, Elsevier, vol. 114(1), pages 178-195.
    9. 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.
    10. Lof, Matthijs & Bommel, Jos van, 2018. "Asymmetric information and the distribution of trading volume," Research Discussion Papers 1, Bank of Finland.
    11. repec:zbw:bofrdp:001 is not listed on IDEAS
    12. repec:zbw:bofrdp:2018_001 is not listed on IDEAS
    13. Petchey, James & Wee, Marvin & Yang, Joey, 2016. "Pinning down an effective measure for probability of informed trading," Pacific-Basin Finance Journal, Elsevier, vol. 40(PB), pages 456-475.
    14. Lof, Matthijs & van Bommel, Jos, 2023. "Asymmetric information and the distribution of trading volume," Journal of Corporate Finance, Elsevier, vol. 82(C).
    15. Lamoureux, Christopher G. & Wang, Qin, 2015. "Measuring private information in a specialist market," Journal of Empirical Finance, Elsevier, vol. 30(C), pages 92-119.
    16. Chang, Sanders S. & Albert Wang, F., 2019. "Informed contrarian trades and stock returns," Journal of Financial Markets, Elsevier, vol. 42(C), pages 75-93.
    17. J. Barry Lin & Christos Pantzalis & Jung Chul Park, 2017. "Corporate derivatives use policy and information environment," Review of Quantitative Finance and Accounting, Springer, vol. 49(1), pages 159-194, July.
    18. Bardong, Florian & Bartram, Söhnke M. & Yadav, Pradeep K., 2005. "Informed Trading, Information Asymmetry and Pricing of Information Risk: Empirical Evidence from the NYSE," MPRA Paper 13586, University Library of Munich, Germany, revised 10 Oct 2008.
    19. James J. Choi & Li Jin & Hongjun Yan, 2013. "Informed Trading and Expected Returns," NBER Working Papers 18680, National Bureau of Economic Research, Inc.
    20. Ersan, Oguz & Alıcı, Aslı, 2016. "An unbiased computation methodology for estimating the probability of informed trading (PIN)," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 43(C), pages 74-94.
    21. Duarte, Jefferson & Young, Lance, 2009. "Why is PIN priced?," Journal of Financial Economics, Elsevier, vol. 91(2), pages 119-138, February.
    22. Patrick J. Kelly, 2014. "Information Efficiency and Firm-Specific Return Variation," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 4(04), pages 1-44.

    More about this item

    Keywords

    PIN; Information asymmetry; Information attributes; Speculative stocks; Sector returns;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    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:eee:pacfin:v:26:y:2014:i:c:p:156-175. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/pacfin .

    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.