How Trading Analytics and Data Science Can Improve Investment Outcomes

Abstract

This article shows how advanced trading analytics can help asset managers deliver improved investment outcomes for client portfolios using both indexing and alpha-seeking strategies. For alpha-seeking managers, trading analytics help right-size trades by balancing alpha capture and transaction costs optimally. For indexing managers, these tools enable more-precise and lower-cost transactions, especially around index rebalancing. Advances in data science can help overcome traditional trading challenges in fixed-income markets, such as the lack of transparency and proliferation of distinct securities.