Artificial Intelligence Alter Egos (EN)

Artificial Intelligence Alter Egos


By Eric Ghysels, Professor of Economics at the Univer­sity of North Carolina at Chapel Hill and Professor of Finance at the Kenan-Flagler Business School

 

On Sat. 23 March 2019, Eric Ghysels, Distinguished Professor of Economics at Bernstein, University of North Carolina - Chapel Hill, will receive an honorary doctorate from the University of Liège.

In anticipation of the event, Prof. Ghysels will give a lecture on “Artificial Intelligence Alter Egos” on Fri. 22 March 2019 from 17:00 to 18:30 at HEC Liège (14 rue Louvrex, 4000 Liège).

 

CONTEXT


Robo-advising is a fast-growing application of FinTech solutions to asset and wealth management. UNC Kenan-Flagler Business School Prof. Eric Ghysels studies robo-investors that make decisions by learning from the investing record of real individuals.

He calls these robo-investors Artificial Intelligence Alter Egos and uses machine learning to study their portfolio return behavior vis-a-vis each of the individuals they shadow. Prof. Ghysels will illuminate the characteristics of investors who stand to gain from robo-advising.

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ABOUT ERIC GHYSELS


Eric Ghysels is the Bernstein Distinguished Professor of Economics at the Univer­sity of North Carolina at Chapel Hill and Professor of Finance at the Kenan-Flagler Business School. His main research interests are time series econometrics and finance. He obtained his Ph.D. from the Kellogg Graduate School of Management at Northwestern University. He has been a visiting professor or scholar at several major U.S., European and Asian universities. He serves on the editorial boards of several academic journals and was co-editor of the Journal of Business and Economic Statistics and editor of the Journal of Financial Econometrics.

He has published in the leading economics, finance and statistics journals and has published several books. He is also the Founding Co-President of the Society for Financial Econometrics (SoFiE). He was a Resident Scholar at the Federal Reserve Bank of New York during 2008-2009 and a Duisenberg Fellow at the European Central Bank in 2011. He is a Fellow of the American Statistical Association and Fellow of the Society for Financial Econometrics.

His most recent research focuses on MIDAS (meaning Mi(xed) Da(ta) S(ampling)) regression models and related econometric methods, machine learning, artificial intelligence, big data and FinTech.

 

INFORMATION


22/03/19 – 17:00 > 18:30

HEC Liège – rue Louvrex, 14 – 4000 Liège

Language : English

 

CONTACT


Myrto Munoz | +32 (0) 4/232.74.05 | m.munoz@uliege.be