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A fuzzy-based approach to residual income equity valuation

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  • Malcolm Beynon
  • Mark Clatworthy

Abstract

The decision of whether to buy, hold or sell equities depends on whether the current price reflects the stock’s intrinsic or fundamental value. The residual income valuation model expresses this fundamental value as a function of current book value of equity plus the sum of discounted expected residual income. Although past and present income and book value information is readily available to investors, values taken by essential parameters in this model are unknown ex ante, particularly the cost of equity or discount rate and future residual income. Any point estimate of equities’ fundamental value according to the model may therefore conceal considerable variation around the estimate, even in the presence of minor perturbations in the model’s inputs. In this paper, we introduce a fuzzy-based approach which reflects the imprecision inherent in certain parameters in equity valuation. We extend the limited prior fuzzy-based literature on investment analysis by introducing the concept of fuzzy fundamental equity value, initially on an illustrative example. To further demonstrate this fuzzy representation, illustrative financial statement data for individual UK companies are considered, with fuzzy fundamental equity values evaluated over progressive forecast horizons. Our series of illustrative applications (which encompasses the standard crisp approach) make the inherent uncertainty involved in estimating equity value immediately apparent. Copyright Springer Science+Business Media, LLC 2013

Suggested Citation

  • Malcolm Beynon & Mark Clatworthy, 2013. "A fuzzy-based approach to residual income equity valuation," Review of Quantitative Finance and Accounting, Springer, vol. 40(4), pages 675-690, May.
  • Handle: RePEc:kap:rqfnac:v:40:y:2013:i:4:p:675-690
    DOI: 10.1007/s11156-012-0293-0
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    References listed on IDEAS

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    Cited by:

    1. I-Cheng Yeh & Che-hui Lien, 2017. "Growth and value hybrid valuation model based on mean reversion," Applied Economics, Taylor & Francis Journals, vol. 49(50), pages 5092-5116, October.
    2. Lawrence D. Schall, 2015. "Valuation of an Equity Interest," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 18(04), pages 1-25, December.
    3. Sara Paralta, 2014. "Accounting Standards and Market Value of Firms with Pension Plans," International Journal of Business and Social Research, MIR Center for Socio-Economic Research, vol. 4(11), pages 31-42, November.
    4. Sara Paralta, 2014. "Accounting Standards and Market Value of Firms with Pension Plans," International Journal of Business and Social Research, LAR Center Press, vol. 4(11), pages 31-42, November.
    5. Chen-Yin Kuo, 2017. "Is the accuracy of stock value forecasting relevant to industry factors or firm-specific factors? An empirical study of the Ohlson model," Review of Quantitative Finance and Accounting, Springer, vol. 49(1), pages 195-225, July.
    6. Arturo Leccadito & Stefania Veltri, 2015. "A regime switching Ohlson model," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(5), pages 2015-2035, September.

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    More about this item

    Keywords

    Accounting; Equity valuation; Fuzzy sets; Residual income; Sensitivity analysis; C61; G11; M41;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

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