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What happened to financially sustainable firms in the Corona crisis?

Author

Listed:
  • Thomas Günther

    (Technische Universität Dresden)

  • Werner Gleißner

    (FutureValue Group AG)

  • Christian Walkshäusl

    (University of Regensburg)

Abstract

Purpose: Financial sustainability is underrepresented in both research on and the practice of sustainability management and reporting. In this article, we examine empirically how financially sustainable firms performed in the Corona crisis. Methods: We measure financial sustainability by four conditions: (1) firm growth, (2) the company’s ability to survive, (3) an acceptable overall level of earnings risk exposure, and (4) an attractive earnings risk profile. We apply this measurement to investment portfolios of a broad sample of firms from 15 European countries of the MSCI Europe using typical investment portfolio characteristics. Results: We find that financially sustainable firms outperform both the broad market and firms with low financial sustainability for the time span July 2019 to March 2020. Conclusion: An investment strategy that invests in financially sustainable firms seems to be better capable of overcoming economic breakdowns such as the Corona crisis. We find that the returns increase with each of the four conditions that are included in the investment strategy. This underlines that considering financial sustainability is interesting for financial management, corporate governance and management control.

Suggested Citation

  • Thomas Günther & Werner Gleißner & Christian Walkshäusl, 2020. "What happened to financially sustainable firms in the Corona crisis?," Sustainability Nexus Forum, Springer, vol. 28(3), pages 83-90, December.
    • Handle: RePEc:spr:sumafo:v:28:y:2020:i:3:d:10.1007_s00550-020-00503-3
    DOI: 10.1007/s00550-020-00503-3
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    References listed on IDEAS

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    1. John Y. Campbell & Jens Hilscher & Jan Szilagyi, 2008. "In Search of Distress Risk," Journal of Finance, American Finance Association, vol. 63(6), pages 2899-2939, December.
    2. Blum, Ulrich & Gleißner, Werner & Leibbrand, Frank, 2005. "Stochastische Unternehmensmodelle als Kern innovativer Ratingsysteme," IWH Discussion Papers 6/2005, Halle Institute for Economic Research (IWH).
    3. World Commission on Environment and Development,, 1987. "Our Common Future," OUP Catalogue, Oxford University Press, number 9780192820808.
    4. Martin F. Grace & J. Tyler Leverty & Richard D. Phillips & Prakash Shimpi, 2015. "The Value of Investing in Enterprise Risk Management," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 82(2), pages 289-316, June.
    5. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
    6. Lester G. Telser, 1955. "Safety First and Hedging," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 23(1), pages 1-16.
    7. Volker Stein & Arnd Wiedemann, 2016. "Risk governance: conceptualization, tasks, and research agenda," Journal of Business Economics, Springer, vol. 86(8), pages 813-836, November.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Sustainability; Financial sustainability; Risk management; Risk governance; Earnings risk; Rating;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting
    • M48 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Government Policy and Regulation

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