Using transaction data from a large non-fungible token (NFT) trading platform, this paper examines how the behavioral bias of selection-neglect interacts with extrapolative beliefs, accelerating the boom and delaying the crash in the recent NFT bubble. We show that the price-volume relationship...

History is important to the study of financial bubbles precisely because they are extremely rare events, but history can be misleading. The rarity of bubbles in the historical record makes the sample size for inference small. Restricting attention to crashes that followed a large increase in...

We study crashes using data from 101 global stock markets from 1692 to 2015. Extremely large, annual stock market declines are typically followed by positive returns. This is not true for smaller declines. This pattern does not appear to be driven by institutional frictions, financial crises,...