Researchers from Boston University and Warwick Business School have found a way to identify what people are Google searching right before a stock market fall.
The researchers took the painstaking liberty of categorising every word on Wikipedia into different topics — the words “management,” “business,” and “bank” would fall under the broader category of “business,” according to Fast Company.
From there, the teams of researchers used Google Trends to figure out how often each week U.S. internet users searched for these words between 2004 and 2012.
“By mining these data sets, we were able to identify a historic link between rises in searches for terms for both business and politics, and a subsequent fall in stock market prices,” Suzy Moat, a professor of behavioural science at Warwick Business School, said in a statement.
Their study, “Quantifying the semantics of search behaviour before stock market moves,” was published in the Proceedings of the National Academy of Sciences
. Their research suggests that this method could be applied to identify search terms before any real-world disaster — not just a stock market crash.