PT  - JOURNAL ARTICLE
AU  - Jim Kyung-Soo Liew
AU  - Garrett Zhengyuan Wang
ED  - Mack, Barbara J.
TI  - Practical Applications of Twitter Sentiment and IPO Performance: <em>A Cross-Sectional Examination</em>
AID  - 10.3905/pa.2017.5.1.225
DP  - 2017 Jul 31
TA  - Practical Applications
PG  - 1--4
VI  - 5
IP  - 1
4099  - https://pm-research.com/content/5/1/1.5.short
4100  - https://pm-research.com/content/5/1/1.5.full
AB  - Twitter Sentiment and IPO Performance: A Cross-Sectional Examination Jim Kyung-Soo Liew Garrett Zhengyuan Wang In recent years, the rise of social media has generated opportunities for collecting vast amounts of user data; the question is: How useful is it and what are the lessons that can be drawn from it? Jim Kyung-Soo Liew and Garrett Zhengyuan Wang of Johns Hopkins Carey Business School examine this new field in Twitter Sentiment and IPO Performance: A Cross-Sectional Examination , which was published in the Summer 2016 issue of The Journal of Portfolio Management . Focusing strictly on the financial markets, they assess how a proper sentiment model can serve investment banks, quant funds, and hedge funds in their quest for keys to human behavior and investment.TOPICS: In markets, quantitative methods