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Strategies and Trends in BQL Fixed Income Management

Fixed income management is all about taking the right strategic approach to maximize returns. In the past, fixed income managers have relied heavily on human intuition and market knowledge to make investment decisions. However, with the rise of Big Data, there has been a shift towards quantifiable and algorithmic investing. BlackRock, one of the largest asset managers in the world, has implemented their own essential strategy, Better Quantitative (BQL) Fixed Income Management. In this article, we’ll dive into the latest trends in BQL, exploring the key strategies and tools being utilized to gain an edge in fixed income investing.

1. Machine Learning – Machine learning techniques are being increasingly used in BQL fixed income management to power the latest predictive analytics. BlackRock is making use of advanced algorithms to mine vast amounts of economic and financial data to lead to more precise investment decisions. This is a powerful tool as the traditional way of getting insights was done through fundamental analysis that can be time-consuming and error-prone. BQL with its powerful models better equips BlackRock to make quicker and more effective decisions

2. Factor Investing – Factor investing involves identifying factors that drive the return in a particular bond or asset class. Rather than analyzing identifiers such as credit ratings, geographical location or industry status, BlackRock focuses on identifying data-driven factors in BQL such as momentum, value and quality. While not all bond and liquidity factors are worth incorporating in the decision-making process, factor picks are being increasingly implemented in strategies for blackrock products.

3. ESG Integration – One of the latest trends is integrating environmental, social and corporate governance (ESG) factors in BQL fixed income management strategies. As a rising number of investors seek to invest in companies and assets that align with their values, companies are embracing ESG integration in the management process. BlackRock has developed BQL Integrations for ESG, a specialized strategy that enables investment teams to include ESG factors in building fixed income portfolios. The strategy is based on identifying ESG and non-ESG factors that drive yield and searching for with an optimal ESG rating.

4. Automated Trading – Automation has revolutionized trading in financial markets. BlackRock is now offering automated solutions with the iShares Unified Trading API to clients who want to trade fixed income ETFs. With the iShares Unified Trading API integrated into your platform, real-time market data and fast execution makes trading in fixed income ETFs more efficient, simplistic and effective.

5. Big Data Solutions – The investment industry generates large volumes of transaction data that make it more difficult to make sense of it all, BlackRock and has implemented big data strategies in BQL fixed income management to help organize and analyze the data. With clear and concise reports, BlackRock mines and refines extensive data sets to identify trends, correlations and trade potentials that turn into actionable insights for trading.


To stay ahead of the pack in a fast-paced industry, portfolio management has to embrace technology and data-driven strategies. With powerful tools such as machine learning, factor investing, automated trading, and ESG integration, Blackrock’s Better Quantitative Fixed Income Management is a crucial advantage for every portfolio manager. These strategies enable investment professionals to create more tailored and effective investment strategies that respond quickly to market changes. By implementing BQL fixed income management, it is possible to maximize returns through long-term growth and find opportunities that align with investors’ desired goals.