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Paradigm Shift in Finance: The Transformation of the Theory from Perfect to Imperfect Capital Markets Using the Example of Company Valuation

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  • Dietmar Ernst

    (International School of Finance (ISF), Nuertingen-Geislingen University, Sigmaringer Straße 25, 72622 Nürtingen, Germany)

  • Werner Gleißner

    (TU Dresden, Münchner Platz 2/3, 01187 Dresden, Germany)

Abstract

In the capital market and financing theory, we are currently observing major upheavals. For decades, the neoclassical paradigm has dominated in science and practice. Triggered by economic and political crises, transformations, the COVID-19 pandemic, and political instabilities, a paradigm shift is currently occurring in finance. This paradigm shift leads to models and theories that can explain imperfections in capital markets and provide decision support for managers. The aim of this article is to analyse the paradigm shift and to demonstrate it using an example of business valuation theory. We draw on the insights of the philosopher Thomas Samuel Kuhn. He vividly explains the paradigm shift in science in his major work “The Structure of Scientific Revolutions”. A paradigm shift in science always encounters resistance. The reasons for this include the strong neoclassical school in finance and the dependence on research funds. Funders expect the use of established methods and the simplicity and dissemination of the models that have prevailed so far. On the other hand, the neoclassical models are unsuitable to explain the transformation processes on financial markets. This fact has been empirically proven. We show a variety of arguments that speak clearly about this paradigm shift. Their importance clearly outweighs the reasons to continue subscribing to the old paradigm. Accordingly, new theories and models have been developed to better explain the changes in the markets. With the simulation-based business valuation, an approach has been developed that considers different degrees of market imperfections. The simulation-based valuation can also depict the special case of the neoclassical paradigm, so that all market constellations can be covered.

Suggested Citation

  • Dietmar Ernst & Werner Gleißner, 2022. "Paradigm Shift in Finance: The Transformation of the Theory from Perfect to Imperfect Capital Markets Using the Example of Company Valuation," JRFM, MDPI, vol. 15(9), pages 1-13, September.
    • Handle: RePEc:gam:jjrfmx:v:15:y:2022:i:9:p:399-:d:910292
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    References listed on IDEAS

    as
    1. Pascal Bruhn & Dietmar Ernst, 2022. "Assessing the Risk Characteristics of the Cryptocurrency Market: A GARCH-EVT-Copula Approach," JRFM, MDPI, vol. 15(8), pages 1-28, August.
    2. Saha Atanu & Malkiel Burton G., 2012. "Valuation of Cash Flows with Time-Varying Cessation Risk," Journal of Business Valuation and Economic Loss Analysis, De Gruyter, vol. 7(1), pages 1-22, May.
    3. Banz, Rolf W., 1981. "The relationship between return and market value of common stocks," Journal of Financial Economics, Elsevier, vol. 9(1), pages 3-18, March.
    4. Andrew Ang & Robert J. Hodrick & Yuhang Xing & Xiaoyan Zhang, 2006. "The Cross‐Section of Volatility and Expected Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 259-299, February.
    5. Dietmar Ernst, 2022. "Simulation-Based Business Valuation: Methodical Implementation in the Valuation Practice," JRFM, MDPI, vol. 15(5), pages 1-17, April.
    6. Basu, S, 1977. "Investment Performance of Common Stocks in Relation to Their Price-Earnings Ratios: A Test of the Efficient Market Hypothesis," Journal of Finance, American Finance Association, vol. 32(3), pages 663-682, June.
    7. Mike Dempsey, 2013. "The Capital Asset Pricing Model ( CAPM ): The History of a Failed Revolutionary Idea in Finance?," Abacus, Accounting Foundation, University of Sydney, vol. 49, pages 7-23, January.
    8. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    Full references (including those not matched with items on IDEAS)

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