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Webinar
Live Webinar
Over the past two decades, the U.S. banking sector has experienced periods of both exuberance and turbulence, shaped by historic events such as the 2000s housing boom, the subsequent subprime crisis, the passage and eventual easing of Dodd-Frank, regional bank runs, and, more recently, expectations of a more favorable regulatory environment and pro-growth policies.
This webinar aims to help investors navigate the sector’s ebbs and flows by examining thirty-one stock selection strategies over a 22-year period, offering critical insights into banking characteristics that distinguish winners from losers.
Key findings for U.S. banks over the past 22 years, starting in June 2002, are:
1. Valuation and Loan Quality Stock Selection Strategies Have Historically Excelled: U.S. banks trading at lower financial multiples or with higher-quality loan portfolios outperformed their counterparts by 9.6% per year, with an information ratio of 1.04.
2. Deposit Cost & Funding Stability Drove Outperformance for Large U.S. Banks: Banks with lower deposit costs or more stable and diversified funding outperformed their counterparts by 8.7% per year, with an information ratio of 0.58.
3. Valuation, Loan Quality, Return on Asset Base, and Deposit Cost All Drove Outperformance for Small U.S. Banks: Buying small banks based on these four financial dimensions outperformed their counterparts by 11.2% per year, with an information ratio of 0.96.
4. Economic and Risk-Adjusted Performance During Bear Markets Outpaced That of Bull Markets: Valuation and Loan Quality long-short strategies excelled during bull markets, yielding 11.2% per year with an information ratio of 0.96, while defensive strategies in categories such as Return on Asset Base or Financial Strength excelled during bear markets, yielding 28.0% per year with an information ratio of 1.60.
S&P Global Market Intelligence
S&P Global Market Intelligence
Senior Director, Quantitative Research & Solutions
Frank is a Senior Director of S&P Global Market Intelligence division. He conducts systematic equity research and productizes his findings that have been widely adopted by global institutional investors in their stock selection processes.
He speaks globally in invitational and sponsored conferences and has been cited in FT, CNBC, and WSJ among others. He is the primary contributing patent holder with USPTO and has publication citations by practitioners and academics alike including from a Nobel Laureate in economics.
Frank has master’s degrees in Financial Engineering from UCLA Anderson and in Finance from Boston College Carroll, and has undergraduate degrees in Computer Science and Economics from University of California, Davis.
S&P Global Market Intelligence
S&P Global Market Intelligence
Associate Director, Product Manager Industry Data Solutions
Hassan is an Associate Director in the Product Management group within S&P Global Market Intelligence, overseeing Industry data delivered through various distribution solutions, like Feeds, API and Cloud. Having an experience of over a decade in product management, distribution solutions and various industries like Financials, TMT, Real Estate and Commodities, allows him to work with clients both on the Buy-Side and Sell-Side to build innovative solutions to unlock deep sector insights and grow the product and business portfolio for the Data & Research group within the division.
He has a Bachelors in Computer Science with a major in Artificial Intelligence and is currently pursuing the CFA charter.
Please contact us if you need more information or have trouble accessing the webinar.