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Non‐linear equity valuation

Author

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  • Ali Ataullah
  • Huw Rhys
  • Mark Tippett

Abstract

We incorporate a real option component into the Ohlson (1995) equity valuation model and then use this augmented model to make assessments about the form and nature of the systematic biases that are likely to arise when empirical work is based on linear models of the relationship between the market value of equity and its determining variables. We also demonstrate how one can expand equity valuation models in terms of an infinite series of ‘orthogonal’ polynomials and thereby determine the relative contribution which the linear and non‐linear components of the relationship between equity value and its determining variables make to overall equity value. This procedure shows that non‐linearities in equity valuation can be large and significant, particularly for firms with low earnings‐to‐book ratios or where the undeflated book value of equity is comparatively small. Moreover, it is highly unlikely the simple linear models that characterise this area of accounting research can form the basis of meaningful statistical tests of the relationship between equity value and its determining variables.

Suggested Citation

  • Ali Ataullah & Huw Rhys & Mark Tippett, 2009. "Non‐linear equity valuation," Accounting and Business Research, Taylor & Francis Journals, vol. 39(1), pages 57-73.
  • Handle: RePEc:taf:acctbr:v:39:y:2009:i:1:p:57-73
    DOI: 10.1080/00014788.2009.9663349
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    Cited by:

    1. Denise A. Jones, 2018. "Using real options theory to explain patterns in the valuation of research and development expenditures," Review of Quantitative Finance and Accounting, Springer, vol. 51(3), pages 575-593, October.

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