The effect of diversification on company value during a global health crisis: evidence from the COVID-19 pandemic

PurposeThe authors study the valuation effect of corporate diversification in the initial phase of the COVID-19 pandemic in 2020 in Europe.Design/methodology/approachApplying a cross-sectional regression model to a sample of public companies headquartered in the European Union, the authors investiga...

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Veröffentlicht in:Managerial finance 2023-07, Vol.49 (8), p.1327-1341
Hauptverfasser: Fruehling, Niklas, Beyer, Hans-Martin, Goeddeke, Anna
Format: Artikel
Sprache:eng
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Zusammenfassung:PurposeThe authors study the valuation effect of corporate diversification in the initial phase of the COVID-19 pandemic in 2020 in Europe.Design/methodology/approachApplying a cross-sectional regression model to a sample of public companies headquartered in the European Union, the authors investigate the existence of and the change in a diversification discount between 2018 and 2020. By applying the Excess Q methodology, the authors make an industry adjustment of diversified companies to measure the value effect of corporate diversification.FindingsThe authors find an economically and statistically significant diversification discount that increases from an average Excess Q of −0.05 in 2019 to −0.10 in 2020. The diversified companies' inferior fundamental financial performance in 2020 accompanies the discount. The results deviate from those of previous research, which mostly show a decrease in the diversification discount in economic crises, and thereby, shed doubt on whether diversification provides insurance against pandemic-induced adverse value effects.Originality/valueThe study distinguishes the role of corporate diversification during recessionary periods by establishing that the valuation effect of diversification depends on the nature of the crisis. The analysis incorporates criticism of previous studies concerning a biased methodology and uniform data source by applying the Excess Q methodology and using FactSet industry segment data.
ISSN:0307-4358
1758-7743
DOI:10.1108/MF-06-2022-0251