SHS Web Conf.
Volume 181, 20242023 International Conference on Digital Economy and Business Administration (ICDEBA 2023)
|Number of page(s)
|Marketing Strategy Analysis
|17 January 2024
Research on the Netflix Stock Price based on Linear regression Models
Education department, SanDiego State University, 92182 SanDiego, United States
Corresponding author: firstname.lastname@example.org
This article uses a linear regression model to predict Netflix’s stock from 2018 to 2022, and divides the data set into pre- and post-epidemic analysis. The before-and-after analysis aims to explore the impact of COVID-19 on Netflix stock price. By collecting and collating Netflix’s historical stock price data, financial indicators, and other relevant information, a linear regression model was constructed. Through model training and verification, the prediction results of future stock prices are obtained, and a comparative analysis before and after the epidemic is carried out. The research results have important reference value for investors, analysts and decision makers in formulating investment strategies and risk management.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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