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In this episode of the Center for Investment Excellence podcast, David Lebovitz is joined by Danielle Hines, Director of U.S. Equity Research, to discuss how a long-term, valuation-driven equity research process can help investors maintain conviction amid rapid disruption. They explain the U.S. core equity research framework—anchored by a tenured, career analyst model and a time-tested five-year expected return approach—and how the team differentiates “being early from being wrong” by documenting theses, tracking key signposts, and updating forecasts as facts change. The conversation also examines AI-driven disruption on both sides of the market, including a case study on insurance brokers, the role of cross-sector collaboration in evaluating AI “enablers,” and lessons from past disruption cycles like e-commerce.
By J.P. Morgan Asset Management4.1
8989 ratings
In this episode of the Center for Investment Excellence podcast, David Lebovitz is joined by Danielle Hines, Director of U.S. Equity Research, to discuss how a long-term, valuation-driven equity research process can help investors maintain conviction amid rapid disruption. They explain the U.S. core equity research framework—anchored by a tenured, career analyst model and a time-tested five-year expected return approach—and how the team differentiates “being early from being wrong” by documenting theses, tracking key signposts, and updating forecasts as facts change. The conversation also examines AI-driven disruption on both sides of the market, including a case study on insurance brokers, the role of cross-sector collaboration in evaluating AI “enablers,” and lessons from past disruption cycles like e-commerce.

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