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ON-DEMAND WEBCAST: Exploring Corporate Event Data and Volatility

Corporate events created by publicly traded companies or attended by their executives can provide compelling insight into the overall financial health of the companies involved. 

Companies are constantly self-disclosing information in new ways.  Understanding the patterns within corporate events data – such as repetitive and sporadic scheduling, time/day of week schedules and a confluence of events at same company – can advance academic research as well as uncover alpha or mitigate risk for investors.

In this webinar, we will review examples of how several academic researchers have leveraged high-quality data to conduct independent research and publish their results in academic journals.

Download the webcast to learn more on what to look for in corporate event data and best practices for sourcing highly accurate data.

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Speakers

Host

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Joseph Lieto

Vice President, Principal Sales Specialist

FactSet

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Michael Raines

Director of Quantitative Data Solutions

Wall Street Horizon

Host

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Joseph Lieto

Vice President, Principal Sales Specialist | FactSet

Mr. Joseph Lieto is a VP, Principal Sales Specialist on the Content and Technology Solutions sales team at FactSet. In this role, he works with FactSet’s largest asset managers and global banks to optimize their workflows by leveraging FactSet’s data feed and off-platform solutions. Prior to this, Mr. Lieto worked within FactSet’s Strategic Partnerships and Alliances managing accounts across the Americas. He earned a Bachelor’s degree in finance and information systems from Fairfield University.

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Michael Raines

Director of Quantitative Data Solutions | Wall Street Horizon

Michael D. Raines is Director of Quantitative Data Solutions, within Wall Street Horizon’s Quantitative Solutions Team.  In his role he is responsible for sales, data research and project management. He has 20 years of professional experience working with investment firms and financial services on a broad range of capital market issues. Michael is a member of Chicago Quantitative Alliance (CQA). Prior to Wall Street Horizon he was with Thomson Reuters and ITG.

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