Navigating a Sea of Investment-Grade Credit

Key Takeaways

  • The evolution of U.S. investment-grade credit (IG),1 highlighted by both increased issuance and improved liquidity, has created what we believe to be a fertile environment for systematic strategies.
  • Traditional credit investment approaches, which tend to rely on deep fundamental research into individual securities or issuers, have struggled to deliver differentiated return profiles in recent years.
  • In our view, using quantitative methods in a transparent, repeatable way to extract alpha through diversified factor tilts offers a compelling alternative in this new IG environment.

An Evolved Market Structure Demands New Investing Tools

The debt outstanding in the IG market has more than doubled since the Global Financial Crisis (GFC). As the market size has expanded, so has the opportunity set within the asset class; there are now more than 8,300 distinct securities (an increase of 147% since 2009!) and over 900 debt issuers (a 65% increase). With a diverse set of sectors, ratings, and maturities, this boom in issuance has also meant a significant increase in the number of decision-making points when constructing an IG portfolio. Quantitative investment methods are ideal for such multi-dimensional investment opportunities.

size of US investment grade

The growth in market size has coincided with, or perhaps itself precipitated, significant improvements in market liquidity – another characteristic that supports a quantitative portfolio construction approach. The proliferation of electronic trading platforms and their steadily increasing share of trading volumes, the advent of portfolio trading, and the tremendous growth of fixed income ETFs have all contributed to create a deep, liquid trading environment with real price transparency.

Moreover, not only do the current market size and structure create a ripe opportunity for systematic investing, so too does the very nature of the market's evolution over the last two decades. Quantitative research relies heavily on data, and the surfeit of investment-grade issuance has created a rich dataset today that has enabled us to test the robustness of our process and the efficacy of our signals over multiple credit and economic cycles. We believe GMO’s long history and deep experience in quantitative investing adds to our advantage, and we can lean on this expertise to apply insights confidently across the breadth of opportunities available in IG.