Various estimates based on alternative data are becoming increasingly popular in financial markets. It is, however, unclear how good these estimates can be when it comes to forecasting large-scale, macroeconomic data. This is because unlike private entities, governments have the infrastructure to acquire information spanning entire populations, making them a unique source of macro data.
In this sample class, Professor Abhiroop Mukherjee will explain how recent advances in satellite imagery can reduce this reliance on governments for key information.
Professor Abhiroop Mukherjee is Liwei Huang Associate Professor of Finance at HKUST. He joined HKUST in 2010 after receiving his PhD in Economics from Yale University, where he worked under the supervision of Professors Nicholas Barberis, Andrew Metrick, and Robert Shiller (Nobel Laureate, 2013). Professor Mukherjee studies issues related to behavioral and institutional finance, and his research has been published in all of the three top academic journals in finance.
Professor Mukherjee has received recognition for both teaching and research, and some of his work has been used in applied settings by Investment Funds, Central Banks and Policy Think Tanks, both in Asia and in the U.S.
Seminar Schedule (Hong Kong time)
07:15 Welcome and Introduction
08:15 Q & A
To RSVP, please click this LINK. If you have any questions, please feel free to contact Tracy Chau at firstname.lastname@example.org.