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On the Bias of the Corporate Tax against High-Risk Projects

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  • Heaton, Hal

Abstract

This paper demonstrates that the impact of the existing tax law is not uniform across projects with different variances of payoffs. A bias exists against projects with greater uncertainty of payoffs, which leads to an underinvestment in high risk projects. The bias against higher variance projects offers a theoretical justification for such tax incentives as the research and development tax credit.

Suggested Citation

  • Heaton, Hal, 1987. "On the Bias of the Corporate Tax against High-Risk Projects," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(3), pages 365-371, September.
    • Handle: RePEc:cup:jfinqa:v:22:y:1987:i:03:p:365-371_01
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    Cited by:

    1. Garven, James R. & Louberge, Henri, 1996. "Reinsurance, Taxes, and Efficiency: A Contingent Claims Model of Insurance Market Equilibrium," Journal of Financial Intermediation, Elsevier, vol. 5(1), pages 74-93, January.
    2. Fochmann, Martin & Hemmerich, Kristina, 2014. "Real tax effects and tax perception effects in decisions on asset allocation," arqus Discussion Papers in Quantitative Tax Research 156, arqus - Arbeitskreis Quantitative Steuerlehre.
    3. Hlouskova, Jaroslava & Tsigaris, Panagiotis, 2020. "Capital income taxation under full loss offset provisions of a prospect theory investor," IHS Working Paper Series 11, Institute for Advanced Studies.
    4. B. Anthony Billings, 1994. "Economic Impact of Taxes On Financial Characteristics of the Natural Resources Industry," Public Finance Review, , vol. 22(4), pages 439-461, October.
    5. Rozycki, John J., 1997. "A tax motivation for smoothing dividends," The Quarterly Review of Economics and Finance, Elsevier, vol. 37(2), pages 563-578.
    6. Fochmann, Martin & Kiesewetter, Dirk & Sadrieh, Abdolkarim, 2012. "Investment behavior and the biased perception of limited loss deduction in income taxation," Journal of Economic Behavior & Organization, Elsevier, vol. 81(1), pages 230-242.
    7. Lim, Terence & Lo, Andrew W. & Merton, Robert C. & Scholes, Myron S., 2006. "The Derivatives Sourcebook," Foundations and Trends(R) in Finance, now publishers, vol. 1(5–6), pages 365-572, April.

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