Index Methodology Review: Deep Dive Into Rebalancing and Weighting Methods
The second part of the presentation focuses on the market value weighting methodology used in fixed income benchmarks. It considers whether this approach, by allocating more weight to the most indebted issuers, may inadvertently tilt portfolios toward weaker fundamentals and thus impair performance. Finally, the discussion explores the merits of alternative index construction methods—including equal weighting, capped weighting, fundamental weighting, and credit-risk-based approaches.
Speakers
Yingjin Gan
Index Research Group Team Leader
Bloomberg
Yingjin Gan leads Bloomberg’s Index Research Group, where she oversees research and development of index methodologies and new index products across equity, fixed income, commodities, and sustainability. Prior to this role, she spent over a decade managing Bloomberg’s fixed income risk and analytics research team. Yingjin joined Bloomberg in 2008 after working in fixed income research at Lehman Brothers, and holds a Ph.D. in Applied Economics from the Wharton School.
Amine Khanjar
Portfolio and Index Research
Bloomberg
Amine Khanjar is a quantitative researcher in the portfolio and risk analytics group at Bloomberg. His research focuses on fixed income analytics, credit selection strategies, liquidity along with risk modelling. Prior to joining Bloomberg in 2016, he was a senior researcher at Barclays Capital. Amine holds a Masters degree in Financial Engineering from New York University (NYU) and an Engineering degree from Ecole Polytechnique in Paris.