Webinar

Beyond Intuition: Empirical Fixed Income Trade Statistics for Better Decision Making

On Demand
Duration: 30 Minutes
Original Date: February 26, 2025

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Despite increased electronification, a lack of transparency around fixed income trading activity continues to challenge the financial industry. Investment teams often rely on a combination of incomplete data and intuition to assess bond liquidity, which can limit their investable universe and impact liquidity scores used to inform critical trading decisions. Bloomberg’s empirical trade statistics solution addresses this need by aggregating comprehensive fixed income trading data from high-quality sources including trade repositories, clearing houses, and client contributions. Join us for a webinar to learn how you can utilize this new data set throughout your workflow to get a deeper understanding of bond liquidity and for better data-driven decision-making.

Speakers

Maggie White

Pricing, Liquidity & Credit Risk Sales Specialist

Bloomberg

Maggie is a Pricing, Liquidity & Credit Risk Sales Specialist on Bloomberg's Enterprise Data team. She has been heavily involved in the team's strategic initiatives since she joined a year ago, including the beta testing and launch of IBVAL. Prior to joining Bloomberg, Maggie was a founding member and Head of Relationship Management and Client Services at LTX, A Broadridge Company. She helped launch LTX's electronic trading platform which leverages AI to connect counterparties in the corporate bond market. Maggie has previous experience as VP of Credit Sales at Tradeweb, where she also assisted with the launch of their credit trading platform.

Zane Van Dusen

Global Head of Risk & Investment Analytics Products

Bloomberg

Zane Van Dusen is the Global Head of Risk & Investment Analytics Products at Bloomberg. Zane began this role in 2019 and under his leadership, the group has become one of the industry's top data analytics providers, supplying innovative risk metrics, such as Bloomberg's award-winning Liquidity Assessment solution (LQA), based on Bloomberg's vast database of market data. Zane works with quants and engineers to build data-driven analytics that address a wide range of client needs from investment research to portfolio construction to regulatory reporting. Prior to this role, Zane managed the implementation of risk management, stress testing and reporting systems for Credit Suisse's Treasury and Liquidity Risk Management groups for over a decade. Prior to this role, Zane managed the implementation of risk management, stress testing and reporting systems for Credit Suisse's Treasury and Liquidity Risk Management groups for over a decade.

Leonardo Jafet

Fixed Income and Credit Market Specialist

Bloomberg

Leonardo Jafet is a Fixed Income and Credit Market Specialist at Bloomberg. Previous to Bloomberg, he worked in Sales & Trading at various global and regional banks, including JP Morgan, Barclays, Santander and Bradesco. Leonardo holds an MBA in Finance from The Wharton School at The University of Pennsylvania.

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