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.
We use Allianz Structured Alpha hedge fund as an illustration to demonstrate how investors could apply quantitative techniques to assess potential risks of complex volatility strategies.
Using Norwegian pension as an example we provide a quick and easy path for US pensions to become more transparent and regain trust of their beneficiaries as well as general public
In 2019, we presented a return-based analysis framework that can be used to analyze complex fixed income funds such as PIMCO Income fund. In this updated blog, we apply a similar methodology to the fund as we did previously to evaluate the performance of the fund during the COVID market distress.
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.
How have risk parity funds actually acted (or reacted) during the current crisis? We use our Stylus Pro system to estimate changes in allocations and leverage levels.
We use our Stylus Pro system’s patented Dynamic Style Analysis (DSA) with daily fund data to determine whether U.S. equity mutual funds have substantially decreased market exposure in the highly volatile period from early-February to mid-March
Since its launch in 2007, PIMCO Income Fund has become one of the top-performing US bond funds. However, in 2019 the fund has underperformed both the benchmark and most of its peers. Using this fund as an example, we will demonstrate how advanced returns-based analysis can be used to analyze complex fixed income products without delving into volumes of complex holdings.
In this post, our research team examines why investors should proceed with caution when selecting top-ranked funds.
While the health of the bull market, the raging fee wars and the ongoing active vs. passive debate continue to capture the money management industry’s attention, something fascinating has quietly taken place on fund analysts’ radars.
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.