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COVID-19 and trade credit speed of adjustment

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  • Luo, Haowen

Abstract

This paper examines the extent to which COVID-19 affects corporate trade credit policy. We find that COVID-19 significantly accelerates US firms’ convergency speed toward the target trade credit. In addition, we find that firms subject to higher ex-ante operational risk tend to adjust trade credit toward the target faster than those with fewer risk exposures. Overall, our evidence is consistent with the risk avoidance explanation for trade credit policy changes in the presence of adverse shocks.

Suggested Citation

  • Luo, Haowen, 2022. "COVID-19 and trade credit speed of adjustment," Finance Research Letters, Elsevier, vol. 47(PA).
  • Handle: RePEc:eee:finlet:v:47:y:2022:i:pa:s1544612321005043
    DOI: 10.1016/j.frl.2021.102541
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    References listed on IDEAS

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    1. Alok Bhargava & J. D. Sargan, 2006. "Estimating Dynamic Random Effects Models From Panel Data Covering Short Time Periods," World Scientific Book Chapters, in: Econometrics, Statistics And Computational Approaches In Food And Health Sciences, chapter 1, pages 3-27, World Scientific Publishing Co. Pte. Ltd..
    2. Hackbarth, Dirk & Miao, Jianjun & Morellec, Erwan, 2006. "Capital structure, credit risk, and macroeconomic conditions," Journal of Financial Economics, Elsevier, vol. 82(3), pages 519-550, December.
    3. Choi, Woon Gyu & Kim, Yungsan, 2005. "Trade Credit and the Effect of Macro-Financial Shocks: Evidence from U.S. Panel Data," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 40(4), pages 897-925, December.
    4. Petersen, Mitchell A & Rajan, Raghuram G, 1997. "Trade Credit: Theories and Evidence," Review of Financial Studies, Society for Financial Studies, vol. 10(3), pages 661-691.
    5. Flannery, Mark J. & Rangan, Kasturi P., 2006. "Partial adjustment toward target capital structures," Journal of Financial Economics, Elsevier, vol. 79(3), pages 469-506, March.
    6. Cook, Douglas O. & Tang, Tian, 2010. "Macroeconomic conditions and capital structure adjustment speed," Journal of Corporate Finance, Elsevier, vol. 16(1), pages 73-87, February.
    7. Hsiao, Cheng & Hashem Pesaran, M. & Kamil Tahmiscioglu, A., 2002. "Maximum likelihood estimation of fixed effects dynamic panel data models covering short time periods," Journal of Econometrics, Elsevier, vol. 109(1), pages 107-150, July.
    8. Luo, Haowen, 2021. "Do firms chase trade credit target?," Finance Research Letters, Elsevier, vol. 43(C).
    9. Matthew D. Hill & G. Wayne Kelly & Michael J. Highfield, 2010. "Net Operating Working Capital Behavior: A First Look," Financial Management, Financial Management Association International, vol. 39(2), pages 783-805, June.
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    Cited by:

    1. Ping Ruan & Yung-Fu Huang & Ming-Wei Weng, 2022. "Impact of COVID-19 on Supply Chains: A Hybrid Trade Credit Policy," Mathematics, MDPI, vol. 10(8), pages 1-22, April.

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