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Average internal rate of return for risky projects

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  • Gordon Hazen
  • Carlo Alberto Magni

Abstract

The average internal rate of return (AIRR) fixes many deficiencies associated with the traditional internal rate of return (IRR), including apparent inconsistency with net present value (NPV). The AIRR approach breaks down project NPV into scale (the capital invested) and economic efficiency (the AIRR), and maintains NPV consistency for accept/reject decisions. Here we examine extensions of the AIRR to risky capital asset projects, a domain where the IRR appears intractable. We show that one can uniquely break down a risky NPV into a risk-sensitive project scale and a risk-sensitive extended AIRR, representing risky project efficiency, so that consistency with NPV for accept/reject decisions is maintained in the certainty-equivalent sense, in direct analogy to the deterministic case. This novel breakdown gives managerial insight by helping determine a risky project’s locus of uncertainty, be it the project scale, or economic efficiency, or both. In this way, risky features of competing projects can be explored in more detail, leading to insights substantiating the NPV ranking. We also show that under risk neutrality, the expected AIRR is equal to the AIRR of the expected cash flow, a property that notoriously fails for the stochastic IRR.

Suggested Citation

  • Gordon Hazen & Carlo Alberto Magni, 2021. "Average internal rate of return for risky projects," The Engineering Economist, Taylor & Francis Journals, vol. 66(2), pages 90-120, April.
  • Handle: RePEc:taf:uteexx:v:66:y:2021:i:2:p:90-120
    DOI: 10.1080/0013791X.2021.1894284
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    Cited by:

    1. Petri P. Karenlampi, 2024. "Path-dependency and leverage effect on capital return in periodic growth processes," Papers 2403.08678, arXiv.org, revised Apr 2024.
    2. Simona Hašková & Petr Fiala, 2023. "Internal Rate of Return Estimation of Subsidised Projects: Conventional Approach Versus fuzzy Approach," Computational Economics, Springer;Society for Computational Economics, vol. 62(3), pages 1233-1249, October.

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