 "Stock market collapse to get predictable with latest model of chaos")
A recent experiment on a model of chaos has revealed that it might be possible to predict an extreme event, like a stock market collapse, and prevent it from happening.
An international team of chaos researchers said that these extreme events, which they call "dragon kings," are less random than had been thought and they can be anticipated and controlled in a simple experiment.
The latest finding is based on the experimental work of Dan Gauthier, the Robert C. Richardson professor of physics at Duke University, with simple electrical circuits.
The data reveals that the chaotic behavior visits 'hot spots' in which an extreme event, called "a bubble," might occur.
Extreme events that may be governed by these laws would include sudden population crashes in species or freak waves in the ocean.
You’ve reached your limit of {{free_limit}} free articles this month.
Subscribe now for unlimited access.
Already subscribed? Log in
Subscribe to read the full story →
Smart Quarterly
₹900
3 Months
₹300/Month
Smart Essential
₹2,700
1 Year
₹225/Month
Super Saver
₹3,900
2 Years
₹162/Month
Renews automatically, cancel anytime
Here’s what’s included in our digital subscription plans
Exclusive premium stories online
Over 30 premium stories daily, handpicked by our editors
Complimentary Access to The New York Times
News, Games, Cooking, Audio, Wirecutter & The Athletic
Business Standard Epaper
Digital replica of our daily newspaper — with options to read, save, and share
Curated Newsletters
Insights on markets, finance, politics, tech, and more delivered to your inbox
Market Analysis & Investment Insights
In-depth market analysis & insights with access to The Smart Investor
Archives
Repository of articles and publications dating back to 1997
Ad-free Reading
Uninterrupted reading experience with no advertisements
Seamless Access Across All Devices
Access Business Standard across devices — mobile, tablet, or PC, via web or app