Gender diverse boards are less likely to use share buybacks to buy undervalued shares and achieve excess returns, than male...
Theos Evgeniou is Professor of Decision Sciences and Technology Management at INSEAD, and Academic Director of INSEAD elab, the research and analytics centre of INSEAD that focuses on Data Analytics for Business.
Professor Evgeniou has received four degrees from MIT, two BSc degrees simultaneously, one in Computer Science and one in Mathematics, as well as a Master and a PhD degree in Computer Science. He graduated first in the MIT class of 1995 dual degrees in Mathematics, won medals in international mathematical Olympiads, and European awards for business case studies.
Professor Evgeniou has authored more than 30 academic and business articles which have been cited by more than 5,000 other publications. At INSEAD, Theos has been focusing on Data Analytics (and “Big Data”) applied to a range of areas from Customer Insights and Marketing to Finance. He has been developing and teaching courses on Data Analytics, Statistics and Decision Making. Professor Evgeniou gives talks and consults for a number of organisations in his areas of expertise.
His recent focus is on statistical arbitrage in Finance. He has been involved in developing hedge fund strategies with more than $100 million invested.
He recently developed a novel Data Analytics for Business course for MBAs and Executives, which is based on cloud technologies and state of the art open source analytics tools.