SOURCE: FiComm Partners

FiComm Partners

March 01, 2016 09:00 ET

LikeFolio Announces Research Partnership With Georgetown University's McDonough School of Business

LOUISVILLE, KY--(Marketwired - March 01, 2016) -

  • First academic client for LikeFolio further validates Andy and Landon Swan's state-of-the-art social media data-mining innovation
  • LikeFolio provides a unique approach to gathering consumer sentiment and purchase intent about brands that is data-driven and real-time via Twitter 
  • LikeFolio's investing intelligence offers a powerful research edge for their financial services clients, both experienced wealth managers and do-it-yourself investors

LikeFolio, the social media powered investing intelligence tool, has announced its partnership with the McDonough School of Business at Georgetown University, in Washington, D.C. for a study to be announced. Vicki Tang will lead the team in the university's business school that will be using LikeFolio's historical social data for research purposes. The criteria of information being shared by the company with the school is four years of LikeFolio's historical data including sentiment scoring and number of mentions for both cashtags as well as mentions of the brands and products owned by the publicly traded company.

LikeFolio searches for sentiment and intent-driven intelligence by mining Twitter not only for these cashtag and brand mentions but also natural language cues embedded in tweets. The firm's proprietary algorithms assess data from millions of individual tweets by consumers, the media, analysts and more -- anyone who mentions a brand name, product or holding company of the related search. 

"Georgetown's School of Business has a great reputation as a leader in publishing research of high integrity as well educating the business community at large," said Andy Swan, co-Founder of LikeFolio. "In addition to informing individual investor, advisor and institutional workflows, I'm excited to see our data supporting academia. We look forward to seeing the outcome of the study."

With approximately 500 million tweets produced on a daily basis, there is a tremendous amount of usable data that LikeFolio is able to analyze and provide feedback on, allowing investors to identify shifts and trends in consumer behavior with statistically significant sample sizes in real-time. This powerful "Main Street" approach to utilizing social data has proven to be effective for research and investment professionals around the world. 

"We have been looking for innovative ways to use social data and LikeFolio's approach meets the rigorous standards we were looking for," said Vicki Tang, Tenured Associate Professor in Accounting at Georgetown University's McDonough's School of Business. "The data mining expertise of LikeFolio, along with their focus on public companies' brand and product mentions, is providing data to the study in ways that would be impossible to gather from other sources."

Professor Tang's research expertise includes predicting future earnings using current financial information, earnings quality and fair value accounting, corporate succession and financial investments in the Chinese stock markets. 

For media inquiries, contact LikeFolio@ficommpartners.com

About LikeFolio

LikeFolio makes the connection between social data and the stock market by gauging consumer enthusiasm on particular stocks based on social media chatter, and translating this information into investment suggestions. Through this unique approach to gathering consumer data, that is both technology-driven and in real time, LikeFolio delivers the next generation of timely and actionable investing intelligence. Headquartered in Louisville, Kentucky, LikeFolio's proprietary approach lends itself to providing accurate predictions of the direction of a stock based on volume and sentiment. In 2015, LikeFolio was named one of the Most Innovative Companies in Personal Finance by Fast Company Magazine. For more information, visit: www.likefolio.com. To download the LikeFolio app, please see: http://try.likefolio.com/app/

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