CDAR encourages innovative thinking in data science research and its applications to investment risk and portfolio management. With founding support from State Street, the Economics and Statistics Departments at UC Berkeley, the Southwestern University of Finance and Economics (SWUFE), and the Advanced Financial Technologies Lab at Stanford, CDAR organizes workshops, conferences, and research opportunities to create a culture of learning. These events bring together academic researchers in physical and social sciences and industry researchers from finance firms and technology companies both large and small. Please visit our related Center for Risk Management Research.
In conjunction with the Center for Risk Management Research (CRMR) and the Berkeley Institute for Data Science (BIDS), CDAR coordinates research programs around the applications of data science to financial risk analysis and the interplay between financial markets and the macroeconomy.
Along with our yearly symposium and weekly seminars during the academic year, CDAR’s members often attend conferences and symposia giving presentations and participating in panel discussions regarding risk analytics, applied statistical methods, and investment portfolio management techniques.