Does Investors’ Belief on Other Investors’ Information Acquisition Affect Trading and Price?
Name
Wang-yutingw-SMMR-Management-2024-thesis.pdf
Description
Thesis PDF
Size
1.74 MB
Format
Adobe PDF
Checksum (MD5)
37a2f626bd8f703b09647448b4407a5f
Author(s)
Wang, Yuting(Economist)
Advisor(s)
Weber, Joseph
Date Issued
February 2024
Publisher
Massachusetts Institute of Technology
Abstract
I study how investors’ belief on other investors’ information acquisition about an asset affects trading and price, holding constant investors’ actual information acquisition. I hypothesize that the predictions depend on the trading strategy investors adopt, which is essentially determined by the nature of the asset and the level of investor sophistication. In a world where investors are able to form high-quality independent estimates of the fundamental asset value, they extract other investors’ signals from the price change and end up trading more aggressively on their private signals when they believe there have been more information acquirers. In contrast, in a world where investors cannot form high-quality independent estimates of the asset value, they tend to adopt a heuristic strategy and trade less aggressively on their private signals when they believe there have been more information acquirers. Using comprehensive private meetings data in China from 2007 to 2017 and a mandate by the Shenzhen Stock Exchange in 2012 that requires firms to disclose the dates and participants of private meetings within two trading days, I find that investors on average trade less aggressively when they believe there have been more information acquirers, consistent with the heuristic world. The results are concentrated in firms with high information uncertainty, e.g., firms with high market-to-book and volatility, which approximate a world where investors are less likely to have a high-quality fundamental anchor, supporting my theoretical mechanisms.
MIT Department
Sloan School of Management
Terms of Use
In Copyright - Educational Use Permitted
Copyright retained by author(s)
Persistent DSpace Link