September 12, 2019
We evaluate the ability of the yield curve slope to forecast future economic conditions, as well as returns on stocks and bonds, using over 50 years of data across six countries.
June 7, 2019
The early evidence hints that machine learning tools can potentially improve investment portfolios. Application of machine learning techniques is a natural evolution for investment research, and one that will continue to be explored.
February 4, 2019
We update our estimates of medium-term (5- to 10-year) expected returns for major asset classes, including private equity and private real estate.
December 17, 2018
Do fixed income (FI) managers generate alpha? We take a deep dive into the determinants of excess of benchmark returns for a broad set of popular active FI categories.
September 26, 2018
We use nearly 100 years of data to evaluate the effectiveness of diversifying investments during the worst of times for most portfolios and find that attempting to tactically avoid equity sell-offs is likely to disappoint.
May 21, 2018
More careful thinking is needed to separate facts from fiction in the hotly contested debate between active and passive investing.
February 2, 2018
We update our medium-term expected returns for major asset classes and explore the historical accuracy of yield-based return estimates.
December 7, 2017
We examine popular active fixed income categories and find that a persistent overweight to high yield credit explains the majority of fixed-income managers’ active returns. We then discuss some key implications for asset owners.
Systematic and fundamental investing approaches are not opposites. Both pursue the same objective and can be fundamentally-oriented. They can use similar inputs, but in different ways, to try to improve investment performance. Neither is necessarily better than the other.
Fed tightening has many investors interested in risks surrounding monetary policy, rising yields and inflation.