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Beta and Return: Implications of Australia's Dividend Imputation Tax System

Author

Listed:
  • Robert Faff

    (School of Economics and Finance, Royal Melbourne Institute of Technology, Level 16. 339 Bourke Street, Melbourne VIC 3000.)

  • David Hillier

    (University of Strathclyde)

  • Justin Wood

    (Barclays Global Investors Australia.)

Abstract

US studies have consistently reported that the relationship between beta and return is less steeply sloped than that implied by the simple CAPM. The introduction of a dividend imputation tax system in Australia and other tax law differences suggest the relationship between beta and return may be more steeply sloped in this country. Empirical evidence subsequent to the introduction of the dividend imputation tax system in July 1987 supports this hypothesis. Further, it is found that no such change occurs in the US market over this time period, which strengthens the conclusion that the finding is tax-driven.

Suggested Citation

  • Robert Faff & David Hillier & Justin Wood, 2000. "Beta and Return: Implications of Australia's Dividend Imputation Tax System," Australian Journal of Management, Australian School of Business, vol. 25(3), pages 245-260, December.
  • Handle: RePEc:sae:ausman:v:25:y:2000:i:3:p:245-260
    DOI: 10.1177/031289620002500301
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    References listed on IDEAS

    as
    1. Blume, Marshall E. & Stambaugh, Robert F., 1983. "Biases in computed returns : An application to the size effect," Journal of Financial Economics, Elsevier, vol. 12(3), pages 387-404, November.
    2. Keith K.W. Chan & Damien W. McColough & Michael T. Skully, 1993. "Australian Tax Changes and Dividend Reinvestment Announcement Effects: A Pre- and Post-Imputation Study," Australian Journal of Management, Australian School of Business, vol. 18(1), pages 41-62, June.
    3. Friend, Irwin & Blume, Marshall E, 1970. "Measurement of Portfolio Performance Under Uncertainty," American Economic Review, American Economic Association, vol. 60(4), pages 561-575, September.
    4. Gibbons, Michael R & Ross, Stephen A & Shanken, Jay, 1989. "A Test of the Efficiency of a Given Portfolio," Econometrica, Econometric Society, vol. 57(5), pages 1121-1152, September.
    5. Dimson, Elroy, 1979. "Risk measurement when shares are subject to infrequent trading," Journal of Financial Economics, Elsevier, vol. 7(2), pages 197-226, June.
    6. MacKinlay, A Craig & Richardson, Matthew P, 1991. "Using Generalized Method of Moments to Test Mean-Variance Efficiency," Journal of Finance, American Finance Association, vol. 46(2), pages 511-527, June.
    7. 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.
    8. Laurence Booth, 1987. "The Dividend Tax Credit and Canadian Ownership Objectives," Canadian Journal of Economics, Canadian Economics Association, vol. 20(2), pages 321-339, May.
    9. 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.
    10. Wood, Justin, 1997. "A simple model for pricing imputation tax credits under Australias dividend imputation tax system," Pacific-Basin Finance Journal, Elsevier, vol. 5(4), pages 465-480, September.
    11. Marshall Blume & Robert Stambaugh, "undated". "Biases in Computed Returns: An Application to the Size Effect (Revision of 2-83)," Rodney L. White Center for Financial Research Working Papers 11-83, Wharton School Rodney L. White Center for Financial Research.
    12. Gibbons, Michael R., 1982. "Multivariate tests of financial models : A new approach," Journal of Financial Economics, Elsevier, vol. 10(1), pages 3-27, March.
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    Cited by:

    1. Robert Faff, 2014. "Alpha," Journal of Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, vol. 13(4), pages 607-622, December.
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    3. Mike Dempsey & Graham Partington, 2008. "Cost of capital equations under the Australian imputation tax system," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 48(3), pages 439-460, September.
    4. Heaney, Richard & Koh, SzeKee & Lan, Yihui, 2016. "Australian firm characteristics and the cross-section variation in equity returns," Pacific-Basin Finance Journal, Elsevier, vol. 37(C), pages 104-115.

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