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Tax Expense Surprises and Future Returns

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  • Jacob Thomas
  • Frank Zhang

Abstract

We investigate whether surprises in quarterly tax expense predict future returns, after controlling for surprises in after-tax book income. We find that seasonally-differenced quarterly tax expense, our proxy for tax expense surprise, is positively related to future returns over the next two quarters. We confirm that this anomalous link is separate from other anomalies documented in the prior literature, such as size, book-to-market, accruals, and price momentum, as well as two anomalies related to tax variables. While higher expense might intuitively imply bad news, in this case higher tax expense signals good news as it is positively related to pre and after-tax income. Our results suggest that this good news is incorporated in stock prices with a delay because investors do not recognize fully the ability of tax expense surprises to predict two key variables that are released in the next two quarters - future book income and future tax expense.

Suggested Citation

  • Jacob Thomas & Frank Zhang, 2007. "Tax Expense Surprises and Future Returns," Yale School of Management Working Papers amz2531, Yale School of Management, revised 01 Feb 2008.
  • Handle: RePEc:ysm:wpaper:amz2531
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    References listed on IDEAS

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    1. X. Frank Zhang, 2006. "Information Uncertainty and Stock Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 105-137, February.
    2. Ball, Ray & Bartov, Eli, 1996. "How naive is the stock market's use of earnings information?," Journal of Accounting and Economics, Elsevier, vol. 21(3), pages 319-337, June.
    3. Bernard, Vl & Thomas, Jk, 1989. "Post-Earnings-Announcement Drift - Delayed Price Response Or Risk Premium," Journal of Accounting Research, Wiley Blackwell, vol. 27, pages 1-36.
    4. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    5. repec:bla:jfinan:v:59:y:2004:i:3:p:1039-1082 is not listed on IDEAS
    6. Lev, B & Thiagarajan, Sr, 1993. "Fundamental Information Analysis," Journal of Accounting Research, Wiley Blackwell, vol. 31(2), pages 190-215.
    7. George A. Plesko, 2007. "Estimates of the Magnitude of Financial and Tax Reporting Conflicts," NBER Working Papers 13295, National Bureau of Economic Research, Inc.
    8. Lipe, Rc, 1986. "The Information Contained In The Components Of Earnings," Journal of Accounting Research, Wiley Blackwell, vol. 24, pages 37-64.
    9. Dan S. Dhaliwal & Cristi A. Gleason & Lillian F. Mills, 2004. "Last†Chance Earnings Management: Using the Tax Expense to Meet Analysts' Forecasts," Contemporary Accounting Research, John Wiley & Sons, vol. 21(2), pages 431-459, June.
    10. Ball, R & Brown, P, 1968. "Empirical Evaluation Of Accounting Income Numbers," Journal of Accounting Research, Wiley Blackwell, vol. 6(2), pages 159-178.
    11. Jeffrey T. Doyle & Russell J. Lundholm & Mark T. Soliman, 2006. "The Extreme Future Stock Returns Following I/B/E/S Earnings Surprises," Journal of Accounting Research, Wiley Blackwell, vol. 44(5), pages 849-887, December.
    12. Abarbanell, JS & Bushee, BJ, 1997. "Fundamental analysis, future earnings, and stock prices," Journal of Accounting Research, Wiley Blackwell, vol. 35(1), pages 1-24.
    13. Joy, Om & Litzenberger, Rh & Mcenally, Rw, 1977. "Adjustment Of Stock-Prices To Announcements Of Unanticipated Changes In Quarterly Earnings," Journal of Accounting Research, Wiley Blackwell, vol. 15(2), pages 207-225.
    14. 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.
    15. Fama, Eugene F & French, Kenneth R, 1996. "Multifactor Explanations of Asset Pricing Anomalies," Journal of Finance, American Finance Association, vol. 51(1), pages 55-84, March.
    16. Catherine M. Schrand & M. H. Franco Wong, 2003. "Earnings Management Using the Valuation Allowance for Deferred Tax Assets under SFAS No. 109," Contemporary Accounting Research, John Wiley & Sons, vol. 20(3), pages 579-611, September.
    17. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
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