MSCI Insights Gallery, a dynamic new destination that helps investors understand the changing markets through informative, interactive data visualization, powered by MSCI tools and research.

MSCI Insights Gallery archive, a dynamic new destination that helps investors understand the changing markets through informative, interactive data visualization, powered by MSCI tools and research.

See the latest and historical crowding scores of the Global Industry Classification Standard (GICS) sectors and industry groups using equal and market-capitalization weighting schemes.

In the visualization below, we draw on our previous research on stock buybacks and shareholder value and extend our analysis through the end of 2020, highlighting the surge in share buybacks after the U.S. corporate-tax cuts of 2018 and the subsequent reversal at the onset of the global pandemic in 2020.

MSCI Blog

We analyzed two multiperiod inflation scenarios to understand how the funding ratios of defined-benefit pension funds could evolve in each and what they could mean for a pension fund in terms of special contributions over the next 10 years.

MSCI Blog

Using natural language processing techniques, we constructed a sentiment factor that quantifies changes in the tone and content of company filings, and may be an indicator of future risks facing a company.

MSCI Blog

Factors have been shown to be important systematic sources of risk and return. We examine how factor analysis can help identify investment characteristics that lie beneath the surface of seemingly similar stocks and equity portfolios.

MSCI Blog

We observed historically notable crowding across factors, industries and stocks through the first half of 2021. Examining crowding from multiple perspectives and incorporating multiple data elements provides investors a more holistic view. 

MSCI Blog

Disperse markets have historically provided opportunities for active managers to outperform their respective benchmarks. We showed that, based on historical trends, CSV helped shed light on identifying where the dispersion was greatest.