Footnote Season: Uncovering Hidden Value in Company Financials
Join Bloomberg and New Constructs for an exclusive webinar exploring how AI-driven financial analysis enhances accounting transparency to reveal underestimated earnings. Discover how Bloomberg Indices integrates New Constructs’ proprietary data to develop systematic strategies that identify companies whose true financial strength is often overlooked—creating a unique opportunity for accounting alpha.
Speakers

David Trainer
CEO of New Constructs
David Trainer, CEO of New Constructs, is a Wall Street veteran and corporate finance expert specializing in AI-driven financial analysis. With a career spanning equity research at Credit Suisse First Boston and Epoch Partners (later acquired by Goldman Sachs), he has pioneered AI-powered stock ratings, financial analytics, and valuation models that uncover hidden insights in company filings. His firm’s Robo-Analyst technology, validated by research from the Journal of Financial Economics, Ernst & Young, and Harvard Business School, has been proven superior in predicting earnings and stock performance. A former FASB Investors Advisory Committee member and author of Modern Tools for Valuation (Wiley Finance, 2010), Trainer frequently appears in media to share insights on AI, financial markets, and investment strategies.

Mike Pruzinsky
Senior Global Equity Product Manager
Bloomberg Indices
Michael Pruzinsky is a senior global equity product manager for Bloomberg Indices. Based in New York, Michael has over 15 years of experience working with the buy-side, and is responsible for overseeing index development, go-to-market, and product strategy. He has created and launched hundreds of indices including the Bloomberg Magnificent 7 Index. Previously, he worked in several client facing roles including Bloomberg's portfolio analytics & risk team that supported the transition from Barclays POINT to Bloomberg PORT. Michael holds a B.A. in Business Economics from Brown University.

Steve Hou
Index & ESG Research
Bloomberg
Steve Hou is a researcher on Bloomberg’s Index & Portfolio Research team. His research covers systematic equity and multi-asset investment strategies, which he applies in close collaboration with the Multi-Asset Index Product team to produce investable index products. Prior to joining Bloomberg, Steve was a quantitative researcher at AQR Capital Management LLC, where he worked on systematic stock selection and tax efficient investment strategies. Steve graduated with a PhD in Financial Economics from the University of Michigan in 2018. He previously completed graduate and undergraduate studies from ETH Zurich and the University of Virginia.