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Non-additivity in accounting valuation: Internally generated goodwill as an aggregation of interacting assets

Author

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  • Jean-François Casta

    (DRM - Dauphine Recherches en Management - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique)

  • Luc Paugam

    (DRM - Dauphine Recherches en Management - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique)

  • Hervé Stolowy

    (GREGH - Groupement de Recherche et d'Etudes en Gestion à HEC - HEC Paris - Ecole des Hautes Etudes Commerciales - CNRS - Centre National de la Recherche Scientifique)

Abstract

In this paper we propose a new method to explain the creation and measure the value of internally generated goodwill (IGG). Our method is based on the idea that firm value is affected by interactions between assets used in combination to conduct business. This novel approach contrasts with the traditional additive approaches to valuing IGG, which assume assets are independent. We use Choquet capacities, i.e., non-additive aggregation operators, to explain the creation of IGG, and demonstrate from a sample of U.S. high technology sector firms that this model performs better than the traditional additive Ohlson model on accuracy in forecast enterprise value.

Suggested Citation

  • Jean-François Casta & Luc Paugam & Hervé Stolowy, 2011. "Non-additivity in accounting valuation: Internally generated goodwill as an aggregation of interacting assets," Post-Print halshs-00541525, HAL.
    • Handle: RePEc:hal:journl:halshs-00541525
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00541525v3
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    References listed on IDEAS

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    Cited by:

    1. Atanasov, Atanas, 2019. "Репутацията Като Обект На Счетоводството: Признаване, Оценяване, Оповестяване [Goodwill as an accounting object: initial recognition, measurement, disclosure]," MPRA Paper 97938, University Library of Munich, Germany.

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