<北京大学数量经济与数理金融教育部重点实验室>学术报告——Proving You Can Pick Stocks Without Revealing How
报告人：Alex Chinco (Baruch College, City University of New York)
时间：2023-03-09 10:00-11:00
地点：Zoom (681 716 9181)
Abstract: Suppose you are raising capital to trade on a profitable new stock-picking strategy. You approach a wealthy investor, Alice, for seed funding. Alice is open to the idea that you might have stock-picking skill, but she is also skeptical. Since you are just starting out and do not have a track record to show Alice, the conventional wisdom is that you must reveal some information about how you pick stocks in order to convince her that you can do it. This would be bad news if true. Reveal too much and Alice will be able to reverse engineer your approach, leaving you empty handed. Luckily for you, the conventional wisdom is wrong. In this paper, I show how to give Alice a zero-cost zero-knowledge proof that you know about a profitable new way to pick stocks. This new proof system makes it possible to construct a spot market for profitable trading ideas.
Bio: Alex Chinco is an Assistant Professor of Finance at the Zicklin School of Business at Baruch College, City University of New York. He earned his PhD in Finance from New York University. His research interests center on the areas of behavioral finance, asset pricing, and machine learning.
Zoom:
https://us02web.zoom.us/j/6817169181?pwd=bi9aOEI3eVhoNlBpQXh4N2lxb3l4dz09
Meeting ID：681 716 9181
Password：230309
