The authors apply a technique called dynamic warp analysis to rescale the unique cadences of 2,638 bubbles into synchronized steps. They then observe the distributions of chosen stock characteristics for each step across all the bubbles. They also observe these stock characteristics during periods when a stock is not experiencing a bubble. The authors use this information to detect when a bubble is under way and how far it has progressed. They test several trading rules to assess the potential to profit from this information.
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Kritzman et al. (2024) studied this question.
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