Conversations with Frank Fabozzi, That includes Lev Dynkin & Arik Ben Dor

• The rise of systematic credit score investing: Dynkin and Ben Dor hint why quantitative approaches have grow to be more and more viable in fastened earnings markets and what that shift means for portfolio building right now.
• Cross-asset investing and portfolio design: They look at how drawing on each fairness and credit score market data can sharpen funding choices and enhance portfolio outcomes.
• Measuring threat in credit score portfolios: The dialogue explains how Length Instances Unfold (DTS) modified the way in which traders quantify and handle credit score threat.
• From analysis to implementation: Robust alerts and backtests are vital however not ample: the audio system handle what separates a viable technique from one thattruly worksin apply.
• Liquidity, mannequin threat, and market stress: Classes from previous crises underscore why strong portfolio building requires accounting for liquidity constraints and the bounds of quantitative fashions.
• The way forward for quantitative investing: Dynkin and Ben Dor think about how AI, machine studying, and built-in equity-credit portfolios could reshape systematic investing over the following decade.

On this episode of Conversations with Frank Fabozzi, CFA, Lev Dynkin, Managing Director at Barclays Company and Funding Financial institution, and Arik Ben Dor, Head of Quantitative Fairness Analysis at Barclays, draw on many years of labor at Barclays’ Quantitative Portfolio Technique Group to point out how traders can mix fastened earnings and fairness insights into more practical systematic methods. They cowl the evolution of quantitative portfolio building, cross-asset analysis, and what it takes to translate rigorous analysis into actual portfolio choices.