MPI Research
Leveraging our patented analytical models to examine and explore some of the most pressing issues in the investment community.
Crypto
Analysis of funds investing in various tokens and crypto stocks
We look at the universe of active crypto hedge funds and observe that by and large they delivered on the promise… at least the ones that survived so far.
Investors – and the Feds – need to focus less on specific stories like MicroStrategy’s Bitcoin exposure, and more on how big the systemic risk picture may be for all of us.
Risk
Using returns-based investment risk analytics to shine a brighter light into the dark areas of individual funds and investment portfolios.
Investors – and the Feds – need to focus less on specific stories like MicroStrategy’s Bitcoin exposure, and more on how big the systemic risk picture may be for all of us.
Using MPI’s Dynamic Style Analysis (DSA), we analyzed 600 equity hedge funds to assess their exposure to Russian equities
Opaque Investments
Better understanding complex and opaque products such as hedge funds through more dynamic analytical models.
An analysis of the third mystery fund linked to both Archegos and the Allianz Structured Alpha funds’ meltdowns hints at the need for efficient and scalable top-down counterparty risk surveillance and monitoring for banks and investors.
Many high profile funds with set risk targets exhibit levels of volatility last seen only during the Global Financial Crisis. This and the disparity of results between funds in the category is the subject of this post.
Smart Beta
Analyzing the opportunities and challenges tied to one of the fastest growing fund segments.
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.
Continuing our exploration into the smart beta segment (Part 1, Part 2), in this third post we introduce a simple “IQ Test” that can help investors and managers measure the “smartness” of the increasing number of non-cap-weight rules-based products on the market.
Target-Date Funds
A quantitative analytical series looking at one of the most popular retirement investing fund segments in the market.
In this post, our research team demonstrates how scenario analysis can highlight different risk sensitivities among same-vintage TDFs that could go undetected by traditional risk measures.
Morningstar’s 2017 Target Date Landscape Report indicates that approximately one quarter of TDF series shifted the target equity allocation of at least one vintage by 15% or more over the last 5 years and nearly half by at least 5%.
Endowments
A deeper look inside the investment returns of some of the most prestigious endowments in the world.
Ivy endowment Fiscal 2024 in review: risks; VC; long-term vs recent years; prospects of Yale Model.
With Mag 7 stocks trouncing VC and Private Markets trailing in FY2024, Columbia and Brown lead Ivy endowments but with vastly different risk and exposures
Index Research
Provides insights into MPI Hedge Fund indices
Hedge Funds have a place in investor portfolios, they’re just too darn expensive and not aasy to pick
Developed through a partnership with BarclayHedge, a unique investable benchmark delivers consistent performance and low risk, while preserving downside protection benefits of the managed futures strategies.
Fund Research
Our library of individual fund and peer group analysis. Looking for a specific fund or peer group that you don't see? Let us know.
How will each party tax proposals impact the wealth of Middle Class and High Net Worth households?
Many high profile funds with set risk targets exhibit levels of volatility last seen only during the Global Financial Crisis. This and the disparity of results between funds in the category is the subject of this post.
The quantitative research and approach demonstrated in this white paper, helps to provide a useful and pragmatic framework for investment practitioners to screen for liquidity risks when selecting new fixed-income products, as well as when conducting ongoing monitoring of their current bond funds.
This white paper looks at the period of the increased volatility in the financial markets leading up to and on November 8th and provides valuable insights into internal workings of risk parity strategies during periods of heightened volatility.