AI Investment Engineering: A Survey

PhD Qualifying Examination


Title: "AI Investment Engineering: A Survey"

by

Mr. Saizhuo WANG


Abstract:

Recent years have witnessed the growing integration of AI into 
quantitative investment. Despite the increasing number of research works 
exploring various possible aspects for such integration, a principled 
overview of this rising field is still lacking. Responding to this 
vacancy, in this paper we systematically review and organize the relevant 
works under the conceptual framework of AI investment engineering. With 
the ultimate goal of realizing automatically evolving trading agents, we 
start from the basic ideas of quantitative investment and outline the 
roadmap for an automated quantitative investment system both 
algorithmically and implementationally. Based on the comprehensive view of 
this field, we further identify the valuable open problems and promising 
directions in this field to serve as a guidance and inspiration for future 
research.


Date:  			Wednesday, 29 June 2022

Time:                  	2:00pm - 4:00pm

Zoom Meeting:
https://hkust.zoom.us/j/97656900486?pwd=YUphWThrc0tUTFZEenZOVGw0ZDZPZz09

Committee Members:	Prof. Lionel Ni (Supervisor)
 			Prof. Harry Shum (Supervisor)
 			Dr. Yangqiu Song (Chairperson)
 			Prof. Qiong Luo


**** ALL are Welcome ****