61% of S&P 500 Companies Cite Negative Impact of Labor Costs on Q2 Earnings Calls
FactSet examined earnings call transcripts to gauge whether companies discussed specific factors that had a negative impact on...
S&P 500 Likely to Report Earnings Growth Between 9% and 12% for Q2 2022
Based on data from previous years, it is likely the S&P 500 will report earnings growth between 9% and 12% for the second quarter.
Optimize Your Quantitative Factor Research Workflows
Firms need an automated, end-to-end solution that takes the investor through key steps of the investment process and is free of...
MENA Reversion: The Roots of Current and Future Trends in Emerging Markets
The recent break in the years-long trend of the “everything rally” means that investors will need to look to different markets,...
S&P 500 Negative EPS Guidance Is Above Average but Not at Peak Levels
More S&P 500 companies are issuing negative EPS guidance for the second quarter and for the full year compared to recent averages.
Analysts Lowered EPS Estimates for Q222 But Raised EPS Estimates for CY22 During Q2
Over the past three months, analysts lowered EPS estimates for Q2 by a smaller margin than average and increased EPS estimates...
Regulatory stories dominating the conversation in June 2022.
Global Fixed Income Markets: Highway to the Danger Zone?
Linking memorable quotes and moments from the original Top Gun movie to global fixed income markets in 2022.
Stress Testing the Russia-Ukraine Conflict
Here we show how stress testing a portfolio or benchmark can highlight the relative exposures to exogenous events.
IPOs and SPACs Come Full Circle as Liquidity Dries
Capital markets are much softer versus a year ago, as the number of IPOs and SPACs is down sharply.
Bottom-Up Target Price for S&P 500 Drops Below 5,000 for First Time Since August 2021
In conjunction with the decline in the price of the S&P 500, industry analysts have also been lowering their target prices on S&P...
Solving for Similarity Using Company Exposures and Euclidean Distance
We used Euclidean distance to identify companies with similar geographic footprints, developing a high-performing pairs trading...
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