RavenPack | June 16, 2016
The panelists describe how using alternative data sets for investing and trading differs from previous approaches utilizing traditional data.
Innovations in big data analysis, both from within and beyond the financial community, are unleashing a wave of change that promises to transform every aspect of financial services. To compete, financial institutions need to move quickly and decisively to adopt new sources of data and possibly change their investment models -- or risk falling behind savvy “high tech” investors.
What are these new alternative data sources? What are the opportunities and risks in incorporating alternative data into investor models, and do the benefits outweigh the costs? The panelists will describe how using alternative data sets for investing and trading differs from previous approaches utilizing traditional data.
Session recorded June 16 2016 at the RavenPack 4th Annual Research Conference, titled "Reshaping Finance with Alternative Data".
Please use your business email. If you don't have one, please email us at email@example.com.
By providing your personal information and submitting your details, you acknowledge that you have read, understood, and agreed to our Privacy Statement and you accept our Terms and Conditions. We will handle your personal information in compliance with our Privacy Statement. You can exercise your rights of access, rectification, erasure, restriction of processing, data portability, and objection by emailing us at firstname.lastname@example.org in accordance with the GDPRs. You also are agreeing to receive occasional updates and communications from RavenPack about resources, events, products, or services that may be of interest to you.
Your request has been recorded and a team member will be in touch soon.