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.
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