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Customer-Based Corporate Valuation: Modeling with Limited, Aggregated, Missing Data

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Streamed live on Jul 24, 2017

There is growing interest in “customer-based corporate valuation,” tying the value of a firm's customers to overall valuation. The speaker will talk about a novel methodology based upon “indirect inference” to value firms by connecting common customer data summaries, which many firms disclose, with the parameters of latent variable models for customer behavior.

About the speaker:

Dan McCarthy, fifth-year Ph.D. candidate in the Statistics Department at the Wharton School of the University of Pennsylvania, and resident data scientist for the Wharton Customer Analytics Initiative. His research specialty is the application of the leading-edge statistical methodology to contemporary empirical marketing problems. His research interests include customer lifetime value (CLV), Bayesian computation, missing data problems, the marketing/finance interface, digital marketing analytics, and online advertising.

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