Big Data in Finance

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On Thursday and Friday, October 27-28, 2016, the Office of Financial Research and the University of Michigan’s Center on Finance, Law and Policy will host a joint conference, “Big Data in Finance” in Ann Arbor, Michigan. The conference will bring together a wide range of scholars, regulators, policymakers, and practitioners to explore how big data can be used to enhance financial stability and address other challenges in financial markets.

The Big Data in finance conference, which is held in collaboration with the Michigan Institute for Data Science (MIDAS), the Michigan Ross School of Business, the Michigan College of Engineering and Michigan Law School will explore ways to make financial data more accessible and more secure, as well as more useful to regulators, market participants, and the public. As new data sets are created, opportunities emerge. Vast quantities of financial data may help identify emerging risks, enable market participants and regulators to see and better understand financial networks and interconnections, enhance financial stability, bolster consumer protection, and increase access to the underserved. Financial data can also increase transparency in the financial system for market participants, regulators and the public.