MPI Research

Leveraging our patented analytical models to examine and explore some of the most pressing issues in the investment community.

Opaque Investments

Better understanding complex and opaque products through more dynamic analytical models.

We use Bridgewater All Weather, one of the largest hedge funds, to illustrate how to quantitative techniques could provide investors with a more dynamic understanding of the potential fund behavior intra-month using only monthly fund data.

A July 20th WSJ article featured Quantedge Capital, a quantitative global macro hedge fund manager that gained 40% after fees year-to-date through June. We provide a quantitative insight into potential sources of such performance.

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.

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%.

Four of the other five fund families with holdings vs. returns-based discrepancies are of a similar nature in that they have investments in derivatives, leveraged funds or absolute return funds, which affect the holdings tally. In each of these cases, DSA provides a much closer estimate to the intended systematic exposure.

Endowments

A deeper look inside the investment returns of some of the most prestigious endowments in the world.

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.

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.

Global Tactical Asset Allocation (GTAA) funds, which seek to take advantage of changing market conditions while maintaining a globally diversified portfolio, have suffered recent underperformance.  MPI was asked by Institutional Investor to look at some of the funds that have received the most interest from investors.

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.

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.

Using Standard Life Global Absolute Return Fund (SLI GARS) weekly performance data, we show how sophisticated factor analysis can provide valuable insights into this fund’s complex global “go anywhere” investment strategy.