Abstract
The authors situate financial data science within the broader history of econometrics and argue that its ascendance marks a reorientation of the field toward a more empirical and pragmatic stance. They also argue that owing to the unique nature of financial information, financial data science should be considered a field in its own right and not just an application of data science methods to finance.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
