Risk

Using returns-based investment risk analytics to shine a brighter light into the dark areas of individual funds and investment portfolios.

In this post, our research team uses regime-based investment risk analytics to present an approach to assessing the size and significance of investor blind spots during a typical manager screening process.

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.

Investors have a tendency to downplay interest rate sensitivity as a factor influencing equity products, with the assumption being that its effect must be negligible at most. One of a handful of exceptions to that assumption, however, is concern over the rate sensitivity of low volatility “smart beta” funds.