Stefano Pasquali

In an era of rapid technological advancements, fixed income markets are undergoing a structural shift towards automation, data-driven execution, and multi-strategy systematic trading. This panel will explore how automation is reshaping liquidity, execution, and risk management in fixed income markets.

• How can you integrate fundamental and systematic processes to better adjust to evolving market conditions?
• How can you apply AI, ML, NLP, and LLMs to drive innovation in fixed income and enhance ability to manage complex portfolios?
• How can systematic strategies address the challenges of trading diverse fixed income asset classes?
• How can you overcome data management and computational hurdles in quantitative fixed income investing?
•  How can you modernize fixed income investment strategies to better attract clients with differentiated services, offering unique, data-driven solutions?

• How can you use ML algorithms to analyze large datasets and achieve better market predictions?
• How can you apply NLP to financial news and transcripts to achieve smarter investment decisions?
• How can you leverage LLMs to interpret financial documents and achieve market insights?
• How can you integrate AI-driven insights into portfolios to achieve optimal asset allocation?
• How can you combine ML-driven signals to achieve systematic alpha in fixed income?