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Webinar Format: 45 minutes online presentation, 15 minutes live Q&A
President Trump has escalated the trade war with China, and nearly everyone has been wrong-footed by the move. Expectations were strong that an agreement ending the war, or at least putting it on hold, was imminent. Odds remain high that Trump and Chinese President Xi will soon come to terms. But suddenly a number of other scenarios seem possible, even one in which the U.S., China and global economy suffer a recession.
In this webinar, we will explore the impact of potential scenarios based on our Global Macroeconomic Model.
Mark Zandi, Managing Director, Chief Economist, Moody’s Analytics
Mark M. Zandi is chief economist of Moody’s Analytics, where he directs economic research. Moody’s Analytics, a subsidiary of Moody’s Corp., is a leading provider of economic research, data and analytical tools. Dr. Zandi is a cofounder of the company Economy.com, which Moody’s purchased in 2005. Dr. Zandi earned his B.S. from the Wharton School at the University of Pennsylvania and his PhD at the University of Pennsylvania.
Cris deRitis, Senior Director, Deputy Chief Economist, Moody's Analytics
Cristian deRitis is a senior director at Moody’s Analytics, where he conducts economic analysis and develops econometric models for a wide variety of clients. His regular analysis and commentary on consumer credit, policy and the broader economy appear on the firm’s Economy.com web site and in other publications. Before joining Moody’s Analytics, Cristian worked for Fannie Mae and taught at Johns Hopkins University. He received his PhD in economics from Johns Hopkins University and is named on two U.S. patents for credit modeling techniques.
Ryan Sweet, Director, Real Time Economist, Moody's Analytics
Ryan Sweet is director of real-time economics at Moody's Analytics. He is also editor-in-chief of Economy.com, to which he regularly contributes, and a member of the U.S. macroeconomics team in West Chester PA. His areas of specialization include U.S. macro, monetary policy, and forecasting high-frequency economic indicators. He is among the most accurate high-frequency forecasters of the U.S. economy, according to MarketWatch and Bloomberg.He received his master's degree in economics from the University of Delaware and his bachelor's degree in economics from Washington College.