풋노트 시즌: 기업 재무 속 숨겨진 가치를 찾아서
Bloomberg와 New Constructs가 함께하는 이번 웨비나에서는 AI 기반 분석이 회계 투명성을 어떻게 향상시키는지, 그리고 손익계산서 이상의 ‘진짜 수익’을 어떻게 식별하는지를 살펴봅니다. 또한 Bloomberg 지수가 New Constructs 데이터를 어떻게 활용해 체계적인 전략을 개발하고 숨겨진 가치를 발굴하는지를 알아보실 수 있습니다.
이 웨비나에서 배우게 될 내용:
- AI가 기존 재무 지표를 넘어선 분석을 어떻게 가능하게 하는가
- 회계 투명성이 투자 결정에 미치는 영향
- New Constructs 데이터를 활용한 숨겨진 가치 발굴 전략
본 웨비나는 영어로 진행되며, AI 한글 자막이 함께 제공됩니다.
Speakers
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.
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.
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.