Machine learning using neural networks has been successfully applied to fields in which extremely complex patterns can prove challenging for other algorithms. Are neural networks suited for modeling prepayment risk in agency mortgage-backed securities?

How ESG indexes have evolved over the past 30 years: A Q&A with Stuart Doole, head of new index development at MSCI, about his conversations with investors since the COVID19 crisis started, the growth of ESG investing and how MSCI Research uses AI and machine learning in developing its ESG indexes.

With COVID-19 spreading across the globe, we are observing severe spikes in liquidity parameters. In order to keep you informed, we have created the MSCI Liquidity Risk Monitor Special Report, a weekly interim report, demonstrating the behavior of several liquidity risk indicators during the global COVID-19 crisis.

Dividend cuts following the COVID-19 slowdown led to approximately USD 194 billion of lost dividends between February and April 2020. An approach that looked beyond dividend-yield ranking would have avoided some affected companies, based on our analysis.

Our latest COVID-19 stress test looks at four potential financial-market outcomes ranging from a swift V-shaped recovery to a pessimistic L-shaped scenario, in which outbreaks recur and lockdowns return well into 2021.

COVID-19 unleashed a torrent of sharp movements across global financial markets. We highlight five key lessons for investors regarding global investing, managing factors, active management, indexed investing and ESG investing.