Using our analytical tools and publicly available endowment annual performance data, we project FY2019 performance of large and small endowments, as well as the Ivy League average and Yale
“The quantitative analysis firm has a method for back-solving portfolios using returns rather than squishy self-reported allocations, and produced a study for Institutional Investor,” writes Leanna Orr about MPI in her article “David Swensen Is Great for Yale. Is He Horrible for Investing?”
It is generally known that endowments invest in risky assets, but quantifying such risks has remained challenging due to a lack of information about returns. We set out to address this challenge and developed a new basis for estimating endowment risks.
In stark contrast to FY 2016, this past year was a strong one for most endowments. In fact, nearly all the Ivy League endowments, Harvard being the only exception, beat the 60-40 portfolio, a commonly cited benchmark that endowments measure their performance against.
The returns of endowments can be attributed to two fundamental components: asset allocation and security selection. Asset allocation is what a factor model is generally able to explain, shown in terms of factor exposures.
An 1873 meeting that brought Harvard, Yale and Princeton together to codify the rules of American football also debuted a sports conference later known as the “Ivy League — eight elite institutions whose heritage, dating from pre-Revolutionary times, became formative influences shaping American character and culture. These schools also pioneered endowment investment management, thus helping to secure the nation’s educational legacy for posterity.
Risk parity strategies hold the promise of smooth sailing through periods of market turbulence, offering consistent performance via risk diversification. However, during Brexit the losses they experienced were very high by historical standards as they came very close to exceeding, or exceeded, the 95% worst outcome as estimated by the historical VaR.