Graduation Year
2020
Date of Submission
5-2020
Document Type
Campus Only Senior Thesis
Degree Name
Bachelor of Arts
Department
Economics
Reader 1
Janet Smith
Terms of Use & License Information
Rights Information
© 2020 Vikramaditya Jhunjhunwala
Abstract
I examine how changes in retail investor sentiment affect initial public offerings (IPOs) over time. My empirical model makes use of a novel proxy for retail investor sentiment, defined by a bull- bear spread generated through analyzing the frequency of selected search queries on Google Search. Contrary to investor sentiment-based IPO timing theory, I hypothesize that optimistic investor sentiments are not positively related to periods of high IPO activity. Alternatively, I find venture capital deal volume and stock market performance to be significant positively related predictors of IPO volume.
Recommended Citation
Jhunjhunwala, Vikramaditya, "Okay Google, When Should We Go Public: Can Google Trends Predict IPOs?" (2020). CMC Senior Theses. 2415.
https://scholarship.claremont.edu/cmc_theses/2415
This thesis is restricted to the Claremont Colleges current faculty, students, and staff.
