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Operating Cost Flexibility and Implications for Stock Returns

Author

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  • Roi D. Taussig

    (Department of Economics and Business Administration, Ariel University, Ariel 407000, Israel)

Abstract

This study suggests a new measure for a firm’s operating cost flexibility. Flexible firms are less risky and, therefore, require lower stock returns. This analysis of 126,202 firm-year observations from the U.S. cross-section of stock returns finds that the new measure explains a negative significant rate of return. The new measure’s impact extends beyond that of operating leverage. In addition, the new measure’s impact is both statistically and economically significant, and it is sustainable for a variety of in-sample and out-of-sample robustness tests. The new findings are beneficial to researchers and practitioners alike.

Suggested Citation

  • Roi D. Taussig, 2024. "Operating Cost Flexibility and Implications for Stock Returns," Risks, MDPI, vol. 12(10), pages 1-7, October.
    • Handle: RePEc:gam:jrisks:v:12:y:2024:i:10:p:161-:d:1495244
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    References listed on IDEAS

    as
    1. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    2. El Ghoul, Sadok & Fu, Zhengwei & Guedhami, Omrane & Saadi, Samir, 2023. "Firm inflexibility and the implied cost of equity," Finance Research Letters, Elsevier, vol. 52(C).
    3. Lifeng Gu & Dirk Hackbarth & Tim Johnson, 2018. "Inflexibility and Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 31(1), pages 278-321.
    4. 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.
    5. Jonathan A. Batten & Harald Kinateder & Niklas Wagner, 2022. "Beating the Average: Equity Premium Variations, Uncertainty, and Liquidity," Abacus, Accounting Foundation, University of Sydney, vol. 58(3), pages 567-588, September.
    6. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    Full references (including those not matched with items on IDEAS)

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