Mark Flood

Speaker

Mark Flood

U.S. Office of Financial Research

Mark is a financial economist who is part of the OFR Financial Markets team. He joined the Office in 2011, soon after it was established. He has taught finance and business at universities in the United States and Canada and worked as a financial…

News

Big data in finance conference paper makes SSRN top 10 download list

Mar 20, 2018

On March 17, 2018, the University of Michigan's Center on Finance, Law, and Policy's summary paper describing the proceedings of the 2016 Big Data in Finance Conference hit SSRN's Top 10 download list for Emerging Legal Issues! Congratulations to...

News

Speaker bios for FinTech conference

Nov 20, 2017

The University of Michigan Center on Finance, Law, and Policy and U.S. Office of Financial Research are pleased to host the following speakers for our third annual financial stability conference: FinTech Risks and Opportunities: An Interdisciplinary...

Big Data in Finance

Highlights from the Big Data in Finance Conference

October 28, 2016

Michael S. Barr, Brian Koziara, Alfred Hero, H.V. Jagadish

How can financial data be made 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...

2018 Functions and Firms (Day 1): Panel 3- Do Regulators Have the Data They Need to Promote Financial Stability with HV Jagadish, Andreas Lehnert, Annette Nazareth, Debra Stone, and Mark Flood

Nov 15, 2018 1:23:22

To identify potential risks to our interconnected financial system, regulators need access to extensive financial data on a wide variety of firms and markets.

FinTech Risks & Opportunities (Day 1): Panel 3 - Systemic Risk: Problems and Solutions with Mark Flood, Adair Morse, Mark Newman, & Jared Sawyer

Nov 17, 2017 1:22:27

This panel evaluates ways that technological innovation in lending, derivatives clearinghouses, and payments systems may contribute to or help overcome systemic risk.

Big Data: Panel 6 - Data Integration and Visualization (Day 2)

Oct 28, 2016 1:29:22

What are the most significant barriers data scientists face in integrating and reconciling various types and sources of data, including issues of standards, unique identity, ownership, and semantic translation?