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Abstract
There’s more to “big data” than just a buzzword. Business intelligence extracted from big data has helped active managers achieve excess returns, particularly for portfolios invested in consumer-focused industries such as retailing and specialty foods. But what happens when a smart-beta passive portfolio is constructed on information gleaned from big data?
Consumer Metrics Institute and BrandLoyalties.com CEO Richard Davis wrote “Big Data” Meets “Smart Beta” as a primer for investment professionals about how to glean relevant insights from brand-name metrics. He discusses how such metrics can serve as a new form of fundamental data for tactically or quantitatively managed active portfolios, or as alternate selection and weighting strategies for tracking tolerant “smart beta” applications.
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