Webinar

The Future of Equity Research: Precision, Depth, and Data Innovation

Equity markets are shaped by shifting macro conditions, evolving business models, and heightened investor scrutiny—making traditional research approaches insufficient. Today’s professionals need precise, granular, and timely data to uncover opportunities and manage risk.


This session is tailored for those looking to elevate their quantitative analysis and equity research capabilities with confidence and precision. You’ll gain:
Expert insights into market trends shaping quantitative research—equipping you to better navigate market complexities and act on emerging opportunities.
An in-depth exploration of equity research enhanced by new datasets—including industry-specific company KPIs, point-in-time estimates, and operating segment fundamentals—giving you a sharper lens into company performance and valuation drivers.


Join us to see how Bloomberg’s innovative data solutions can help you strengthen your equity research strategies, improve forecasting accuracy, and drive more informed investment decisions.

Speakers

Frances Shi

Data Science Product Specialist

Bloomberg

Frances Shi is a Data Science Specialist at Bloomberg where she builds data science solutions to easily access and interpret Bloomberg and third party data that helps facilitate client conversations. Specializing in quantitative area, Frances joined Bloomberg in 2017, started as Liquidity Quant Analyst and later led the Quality Assurance team to automate the quality assurance process of Enterprise Data by leveraging big data platform and quantitative analysis. Prior to Bloomberg, Frances was an quantitative investment associate at Glovista Investments LLC where she supported portfolio managers in managing two global macro strategies. Frances has a B.A. in economics and a M.S. in finance and is a designated Chartered Financial Analyst.

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