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Do SEC Disclosures Reduce Investors' Disagreements about Firms' Exposures To Market Risk?: A Trading Volume Analysis

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Listed:
  • Venkatachalam, Mohan

    (Stanford U)

  • Linsmeier, Thomas J.

    (Michigan State U)

  • Thornton, Daniel B.

    (Queen's U)

  • Welker, Michael

Abstract

This paper uses a trading volume analysis to examine the extent to which SEC-mandated disclosures make firms' market risk exposures more transparent to investors. We hypothesize that if the SEC's quantitative market risk disclosures reduce investor disagreements about firms' risk exposures, trading volume associated with market rate or price changes should decline after the disclosures are made public. We test for this relationship across three samples of firms that provide the mandated market risk disclosures for the first time in the 10-K reports. We find that the trading volume associated with changes in market rates or prices consistently declines after the 10-K filing for firms exposed to commodity price changes,. We find limited evidence of a decline in trading volume associated with changes in energy commodity prices, and no evidence of a decline in trading volume associated with change in non-energy commodity prices. We explore several explanations for the weaker commodity price results, some relating to potential deficiencies in the reported commodity information and others to research design issues. In general, we interpret the results as providing evidence suggesting that the SEC's quantitative market risk disclosures reduce investor disagreements about firms' exposure to market risks.

Suggested Citation

  • Venkatachalam, Mohan & Linsmeier, Thomas J. & Thornton, Daniel B. & Welker, Michael, 2000. "Do SEC Disclosures Reduce Investors' Disagreements about Firms' Exposures To Market Risk?: A Trading Volume Analysis," Research Papers 1640, Stanford University, Graduate School of Business.
  • Handle: RePEc:ecl:stabus:1640
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    File URL: http://gsbapps.stanford.edu/researchpapers/library/RP1640.pdf
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    References listed on IDEAS

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    1. Mian, Shehzad L., 1996. "Evidence on Corporate Hedging Policy," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 31(3), pages 419-439, September.
    2. Kandel, Eugene & Pearson, Neil D, 1995. "Differential Interpretation of Public Signals and Trade in Speculative Markets," Journal of Political Economy, University of Chicago Press, vol. 103(4), pages 831-872, August.
    3. Kim, O & Verrecchia, Re, 1991. "Trading Volume And Price Reactions To Public Announcements," Journal of Accounting Research, Wiley Blackwell, vol. 29(2), pages 302-321.
    4. DeMarzo, Peter M & Duffie, Darrell, 1995. "Corporate Incentives for Hedging and Hedge Accounting," The Review of Financial Studies, Society for Financial Studies, vol. 8(3), pages 743-771.
    5. Nance, Deana R & Smith, Clifford W, Jr & Smithson, Charles W, 1993. "On the Determinants of Corporate Hedging," Journal of Finance, American Finance Association, vol. 48(1), pages 267-284, March.
    6. Abarbanell, Jeffery S. & Lanen, William N. & Verrecchia, Robert E., 1995. "Analysts' forecasts as proxies for investor beliefs in empirical research," Journal of Accounting and Economics, Elsevier, vol. 20(1), pages 31-60, July.
    7. Beaver, Wh, 1968. "Information Content Of Annual Earnings Announcements," Journal of Accounting Research, Wiley Blackwell, vol. 6, pages 67-92.
    8. Karpoff, Jonathan M., 1987. "The Relation between Price Changes and Trading Volume: A Survey," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(1), pages 109-126, March.
    9. Jorion, Philippe, 1990. "The Exchange-Rate Exposure of U.S. Multinationals," The Journal of Business, University of Chicago Press, vol. 63(3), pages 331-345, July.
    10. Karpoff, Jonathan M, 1986. "A Theory of Trading Volume," Journal of Finance, American Finance Association, vol. 41(5), pages 1069-1087, December.
    11. Bamber, Linda Smith & Barron, Orie E. & Stober, Thomas L., 1999. "Differential Interpretations and Trading Volume," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 34(3), pages 369-386, September.
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