Article Title
Document Type
Article
Abstract
This paper aims to identify the factors affecting the closing price of a stock in the S&P 500. It uses time series data for all companies that constitute the S&P 500 index. Data on closing price, opening price, highest price, lowest price, and volume of each day is used. It turns out that the opening price, highest price, and the lowest price are the most significant variables while predicting the closing price of a stock.
Journal Title
Proceedings of the Jepson Undergraduate Conference on International Economics
Volume
4
Issue
2022
Copyright
©2022 by Proceedings of the Jepson Undergraduate Conference on International Economics
Language
en
File Format
application/pdf
Recommended Citation
Rishi, Taran
(2022)
"Stock Market Analysis Using Linear Regression,"
Proceedings of the Jepson Undergraduate Conference on International Economics: Vol. 4, Article 4.
Available at:
https://scholarworks.uni.edu/jucie/vol4/iss1/4