45 years of de facto Fed independence appears increasingly at risk. President Trump has already installed one Fed Governor, is attempting (possibly illegally) to dismiss another, and has triggered market speculation about his ability or willingness to even dismiss the Chairman. What does this mean for markets?
As we enter the home stretch of 2025, we are struck by the current state of valuations in the fixed income markets. We are particularly struck by the divergence between broad market valuations and the growing weakness in various economic sectors.
In this environment, investors should balance exposure between the structural tailwinds of AI and the cyclical vulnerabilities of an economy still walking a fine line between expansion and slowdown.
In this piece, we will look into key structural differences within segments of U.S. private equity strategies (with an emphasis on buyout funds) that are likely to become critical return drivers in the coming years in the evolving macroeconomic environment.
In this paper, we begin by examining the differences between equity index construction and fixed income benchmark construction. We then analyze data from the eVestment database to evaluate the performance of the Bloomberg Aggregate index relative to the median active manager.
With equity markets producing vast streams of data from corporate fundamentals to market prices, sentiment, and alternative datasets, machine learning offers the ability to uncover subtle, nonlinear relationships that traditional linear factor models might overlook.
