MSGF Sample Class - Alternative Data: Can Technology Make Us Less Reliant on Government Data?

MSGF Online Seminar_Oct 14

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.

Abhiroop Mukherjee

Schedule (Hong Kong time)

07:00 Registration
07:15 Welcome and Introduction
07:20  Presentation
08:15 Q & A
08:30 End
Alumni Price


Kindly contact Ms Tracy Chau for enquiries.






14.10.2020 - 14.10.2020 (GMT+08:00)

19:00 - 20:30 (Hong Kong Time)
07:00 - 08:30 (New York time)


Online via Zoom

Event Host
HKUST-NYU Stern MS in Global Finance Program
Reg. Deadline