INVESTMENT STRATEGIES

Systematic Fixed Income Strategies

Harness Fidelity’s systematic fixed income strategies powered by data, technology, and research. Our systematic approach delivers scalable, repeatable insights to uncover alpha across global bond markets.

Fixed income solutions that seek alpha through discipline

Fidelity stands out with a unique combination of resources, expertise, and technology that positions us at the forefront of systematic investing.

Reliable data as a foundation

Fidelity’s data infrastructure delivers clean, scalable fixed income data, combining proprietary and third-party sources to support robust model development and portfolio construction.

Transforming data into opportunity

Our proprietary models apply sophisticated techniques across  fixed income sectors to uncover inefficiencies and generate actionable insights from over 100,000 securities.

Insight meets oversight

Expert teams enhance models with macro and sector insights, while rigorous oversight helps ensure alignment with your goals and evolving market conditions.

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Pursuing Alpha Through Discipline: Fidelity’s Systematic Fixed Income Framework

Karishma Kaul, Head of Systematic Fixed Income Solutions, discusses how market fragmentation, data abundance, and technological innovation are enabling a greater opportunity in systematic fixed income.

View transcript—Pursuing Alpha Through Discipline: Fidelity’s Systematic Fixed Income Framework
View transcript—Pursuing Alpha Through Discipline: Fidelity’s Systematic Fixed Income Framework

When we talk about systematic investing, it essentially means that we have a model-based investment approach and a data driven research approach. Uh, these strategies generally target different sources of return and different portfolio construction approaches. There is also an inherent flexibility and a focus on scale and efficiencies, uh, which, um, you know, help create customized solutions in a very cost-effective way.

This market has thousands of issuers, diverse instruments types across a lot of sectors, and this implies that from a price discovery point of view, liquidity management point of view, or a risk management point of view, it's a very, um, you know, very challenging problem to solve. Advances in computing power and data availability have really transformed this landscape. So, you know propagation of data whether it's market data, fundamental data, transaction cost data, or just alternative data along with like proprietary approaches to model transaction costs and risk have enabled systematic strategies to uncover alpha opportunities in a very consistent and efficient way.

So the three advantages Fidelity offers here are around data. Access to clean data and fixed income is a challenge, and so getting that right is pretty critical. The second is around research, you know, our proprietary models, that are pretty cutting edge across all three spaces of alpha, transaction cost and risk really, you know, drive, the success of our strategies. The third advantage is around domain expertise and implementation. Our strategies are directly integrated with our trading desks, working on minimizing transaction costs and capturing alpha efficiently.

From a research point of view, everything that we do is grounded in very strong economic priors. So ,it's not just a data mining exercise. Uh, we spend a lot of time on attribution. Uh, we do a lot of regime analysis to understand what works, when it works, why it works. Then when it comes to actively managing these strategies, uh, we have a robust model management process where we regularly evaluate, uh, model performance, portfolio performance, understand the drivers of returns, and this essentially creates a feedback loop to assess and improve our models. So this interplay between portfolio management, research, live performance, um, essentially helps our strategies stay resilient and adaptive.

Views expressed are as of the date indicated, based on the information available at that time, and may change based on market and other conditions. Unless otherwise noted, the opinions provided are those of the authors/speakers and not necessarily those of Fidelity Investments or its affiliates. Fidelity does not assume any duty to update any of the information.

Portfolios built for your unique needs

Quant Active Strategies

Traditional alpha and tracking error (TE) parameters

Outcome-oriented Strategies

Systematic strategies targeting specific outcomes

Quant Enhanced Strategies

Target index like risk with modest alpha and low fees 

Alternative Strategies

Differentiated and low market beta strategies leveraging derivatives and cash bonds

Investing IDEAS

Systematic fixed income strategies: An innovative framework for bond investing

The evolution of global markets and technological advances have enabled systematic fixed income approaches to complement traditional fixed income investment approaches, potentially enhancing diversification and custom alpha-driven opportunities.

Meet our team

We seek to deliver actively managed solutions across all fixed income sectors leveraging a data-driven research process and a model-based investment approach.

Karishma Kaul
Systematic Fixed Income Strategies
Nick Baturin, PhD, CFA
Quantitative Alpha Researcher
Orhan Imer, PhD, CFA
Quantitative Portfolio Manager
Rahul Bhargava, PhD
Quantitative Portfolio Manager
Leo Landes, CFA
Quantitative Portfolio Manager
Richard Munclinger, PhD, CFA
Quantitative Portfolio Manager/Researcher
Phillip Seo
Quantitative Alpha Researcher

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