12:00 PM ET | 5:00 PM BST
Key Dialogue Factors
- 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 development immediately.
- Cross-asset investing and portfolio design: They study 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 Period Occasions Unfold (DTS) modified the best way traders quantify and handle credit score threat.
- From analysis to implementation: Sturdy indicators and backtests are crucial however not ample: the audio system tackle what separates a viable technique from one thattruly worksin observe.
- Liquidity, mannequin threat, and market stress: Classes from previous crises underscore why strong portfolio development 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 might 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 a long time of labor at Barclays’ Quantitative Portfolio Technique Group to point out how traders can mix fastened earnings and fairness insights into simpler systematic methods. They cowl the evolution of quantitative portfolio development, cross-asset analysis, and what it takes to translate rigorous analysis into actual portfolio choices.


