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Systematic Fixed-Income Investing Comes of Age

How a New Kind of Active Strategy Helps Meet Today’s Investment Challenges

March 30, 2023
3 min read

What You Need to Know

Bond investors have been challenged by heightened volatility and big drawdowns in the aftermath of the pandemic. In response, investors are increasingly seeking systematic strategies, which can generate active returns while mitigating risk and charging competitive fees. In this paper, we explore the principles, processes and benefits of a systematic fixed-income strategy, an investment approach whose time has come.

Over 300
predictive factors
111%
up-capture of simulated IG systematic portfolio versus benchmark
91%
down-capture of simulated IG systematic portfolio versus benchmark
Authors
Scott DiMaggio, CFA| Head—Fixed Income
Bernd Wuebben| Director—Systematic Investing and Quantitative Research

Leading active fixed-income managers have long sought to make their investment performance outcomes more consistent and repeatable through process improvements. These enhancements have typically systematized aspects of the investment process without substantially altering the main sources of outperformance or reducing the levels of beta risk.

Now, fully systematic strategies are available that are driven exclusively by quantitative (“quant”) research insights into the alpha-generating potential of factors (also known as “alphas”) in fixed-income markets. Here, research is concentrated at the factor level.

Systematic strategies aim to deliver active excess returns that are uncorrelated with traditional active manager products. Systematic strategies are evidence based and objective and use model-driven investment decisions that remove human biases. Because they target different sources of outperformance and manage tracking-error risk rigorously, systematic strategies can complement traditional active bond approaches. As with any active strategy, systematic portfolios can experience periods of negative performance. But, because of their diversified factor exposures, the probability of large drawdowns from single-factor events is significantly less for well-designed systematic strategies than for traditional active strategies.

Technological advances in data capture, liquidity discovery and trading analysis have made it possible to devise and implement systematic fixed-income strategies in a highly efficient and cost-effective manner. Further, these strategies can be employed across a wide range of fixed-income markets, including US, European and Canadian credit; long-duration US credit; US aggregate mandates; and emerging-market debt.

Also, by boosting returns while improving portfolio diversification, an active systematic approach may raise a fixed-income portfolio’s information ratio, a measure of active return per unit of active risk.

This paper sets out the principles behind systematic fixed-income investing and illustrates how it compares with other approaches. Considering its potential advantages, we believe that systematic fixed-income investing is an idea whose time has come.

Past performance, historical and current analyses, and expectations do not guarantee future results.

The views expressed herein do not constitute research, investment advice or trade recommendations and do not necessarily represent the views of all AB portfolio-management teams. Views are subject to revision over time.


About the Authors

Scott DiMaggio is a Senior Vice President, Head of Fixed Income and a member of the Operating Committee. As Head of Fixed Income, he is responsible for the management and strategic growth of AB’s fixed-income business and investment decisions across the department. DiMaggio has previously served as director of Global Fixed Income and continues to be a portfolio manager across numerous multi-sector and multi-currency strategies. Prior to joining AB’s Fixed Income portfolio-management team, he performed quantitative investment analysis, including asset-liability, asset-allocation, return attribution and risk analysis for the firm. Before joining the firm in 1999, DiMaggio was a risk management market analyst at Santander Investment Securities. He also held positions as a senior consultant at Ernst & Young and Andersen Consulting. DiMaggio holds a BS in business administration from the State University of New York, Albany, and an MS in finance from Baruch College. He is a member of the Global Association of Risk Professionals and a CFA charterholder. Location: New York

Bernd Wuebben oversees the Quantitative Research Group for Fixed Income, where he is responsible for developing the quantitative models and methods that are an important aspect of the firm's investment process. Prior to joining AB, Wuebben worked from 2008 to 2018 as a quantitative investment portfolio manager, managing portfolios that invested in liquid traded assets across all major geographic locations and asset classes. His quantitative investment process made heavy use of big data and machine learning. Prior to this, Wuebben worked for 10 years as a macro and relative-value strategist as well as a proprietary trader for major investment banks including Morgan Stanley, Bear Stearns and Deutsche Bank, where he started his career in 1998 as a fixed-income strategist. He holds a BS in mathematics and a BS in physics from Heidelberg University, Germany, and an MS in mathematics and an MS in computer science from Cornell University. Wuebben also passed the doctoral exam in mathematics at Cornell University, where his research focused on the mathematical aspects of superstring theory. Location: New York