The mirror of history: How to statistically identify stock market bubble bursts

Journal of Economic Behavior & Organization(2022)

Cited 2|Views1
No score
Abstract
This paper proposes a method for detecting bubble phases and the timing of bursts in global stock markets. The study identifies 27 bubbles in 29 global stock market indices over the last century. Using transformations and change-point detection on index returns, we discover that every major bubble has the same two-phase pattern indeed. Although the mechanisms or causes of each bubble are complex and unique, they all follow the same pattern. Thus, our findings suggest that history has a tendency to repeat itself.
More
Translated text
Key words
Stock markets,Change-point detection,Bubble burst,Transformation method
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined