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.
- The content is made available for your general information and use and is not intended for trading or other specific investment advice purposes or to address your particular requirements. We do not represent or endorse the accuracy or reliability of any advice, opinion, statement, or other information provided any user of this publication. Reliance upon any opinion, advice, statement, or other information shall also be at your own risk. Independent advice should be obtained before making any such decision. Any arrangements made between you and any third party named in this publication are at your sole risk.
Don’t have access? Register today to begin unrestricted access to our database of research.
Log in using your username and password
In this issue
Jump to section
Similar Articles
Cited By...
- No citing articles found.