As the National Football League crowned its champion, a familiar market superstition is again doing the rounds on Wall Street: the Super Bowl Indicator. The theory suggests that U.S. equities tend to ...
February 27, 2026 • It’s … Indicators of the Week (now on YouTube!), our weekly look at some of the most fascinating economic numbers from the news. February 26, 2026 • Russia exports billions of ...
Robert Kelly is managing director of XTS Energy LLC, and has more than three decades of experience as a business executive. He is a professor of economics and has raised more than $4.5 billion in ...
Daniel Liberto is a journalist with over 10 years of experience working with publications such as the Financial Times, The Independent, and Investors Chronicle. jeffbergen / Getty Images Social ...
Darian Woods is a host of The Indicator from Planet Money. He blends economics, journalism, and an ear for audio to tell stories that explain the global economy. He's reported on banks defending ...
February consumer confidence improved but stayed below 2024 peaks as households continue weighing job market prospects against persistent cost worries. The U.S. economy grew at a rate of 1.4% in the ...
The Daily News Sentiment Index is a high frequency measure of economic sentiment based on lexical analysis of economics-related news articles. The index is described in Buckman, Shapiro, Sudhof, and ...
The personal consumption expenditure price index (PCEPI) is one measure of U.S. inflation, tracking the change in prices of goods and services purchased by consumers throughout the economy. Of all the ...
The composite economic indexes are the key elements in an analytic system designed to signal peaks and troughs in the business cycle. The leading, coincident, and lagging economic indexes are ...
Abstract: This paper investigates set stabilization and robust set stabilization of periodically time-varying Boolean control networks (PTVBCNs) by combining state-flipping mechanism and state ...
Abstract: In real-world datasets, leveraging the low-rank and sparsity properties enables developing efficient algorithms across a diverse array of data-related tasks, including compression, ...