Title

Analyzing relationship: Twitter tweet frequency with the stock prices of telecom companies

Authors

Amrita Shelar, Kean University
Ching yu Huang, Kean University

Document Type

Conference Proceeding

Publication Date

8-15-2018

Abstract

Twitter is a widely used online social media. In this paper, we investigate whether the daily number of tweets that mention any of the telecom companies i.e. Verizon, T-Mobile, AT&T and Sprintvis-à-vis stock prices.The study focuses on correlating data sets of Twitter tweet frequency with the stock prices of telecom Companies; using Statistical Methods: Z-score and Chi-Square - Test of Independence with data visualization.Our results demonstrate the relation between daily numbers of tweets is correlated with that of stock price for Verizon and T-Mobile. Our preliminary results also demonstrate the relation of frequency of tweets with stock prices of each day. Furthermore, it appears that Twitter tweets and stock prices are independent.

Publication Title

ACM International Conference Proceeding Series

First Page Number

113

Last Page Number

116

DOI

10.1145/3243250.3243267

Recommended Citation

Shelar, Amrita and Huang, Ching yu, "Analyzing relationship: Twitter tweet frequency with the stock prices of telecom companies" (2018). Kean Publications. 1473.
https://digitalcommons.kean.edu/keanpublications/1473