Predicting Retail Company Bankruptcies in the Era of COVID

Authors

  • Annhenrie Campbell California State University, Stanislaus
  • David H. Lindsay California State University, Stanislaus
  • Gökçe Soydemir California State University, Stanislaus
  • Kim B. Tan California State University, Stanislaus

DOI:

https://doi.org/10.33423/jmdc.v18i1.6828

Keywords:

marketing, development, retail apocalypse, COVID-19, bankruptcy prediction, chaos

Abstract

Trade journals and the popular press have suggested that the COVID-19 pandemic precipitated a second “retail apocalypse.” The current study tests whether pre-pandemic data can be used to predict COVID-19 retail firm bankruptcies using a chaos-based model. This study successfully uses a chaos statistic calculated from stock market time-series returns for pair-match retail firms prior to the pandemic to predict bankruptcies occurring shortly afterwards.

References

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Published

2024-02-25

How to Cite

Campbell, A., Lindsay, D. H., Soydemir, G., & Tan, K. B. (2024). Predicting Retail Company Bankruptcies in the Era of COVID. Journal of Marketing Development and Competitiveness, 18(1). https://doi.org/10.33423/jmdc.v18i1.6828

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Articles