Proceedings of the 2023 International Conference on Finance, Trade and Business Management (FTBM 2023)

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Stock Price Prediction Based on Multiple Linear Regression Model

Authors
Runqing Hu1, *
1College of Engineering, University of California, Santa Barbara, Goleta, California, 93106, USA
*Corresponding author. Email: jinhua@ucsb.edu
Corresponding Author
Runqing Hu
Available Online 30 November 2023.
DOI
10.2991/978-94-6463-298-9_48How to use a DOI?
Keywords
stock price; machine learning; multiple linear regression; finance; statistics
Abstract

In the modern society, the rise and fall of stocks price have become the most discussed topic among people. It is difficult to make precise stock buying and selling decisions based on personal experience in current stock market. Statistics and programming can effectively solve this problem. In machine learning field, there are many models that can be utilized to predict stock price like Recurrent Neural Network (RNNs), LSTMS, and regression. This article explores the utilization of the multiple linear regression model in prediction the stock price and use the Alphabet company as the example. All the data is extracted from Yahoo Finance. Initially, processing all the data by python pandas, numpy, and statsmodels library. Then, visualize the prediction result by matplotlib. In the end, the article obtained relatively accurate prediction results that much higher than the original expectation. There is a small difference between the prediction price with the actual price. Users can also use this model to predict other parameters while making discussions.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 International Conference on Finance, Trade and Business Management (FTBM 2023)
Series
Advances in Economics, Business and Management Research
Publication Date
30 November 2023
ISBN
10.2991/978-94-6463-298-9_48
ISSN
2352-5428
DOI
10.2991/978-94-6463-298-9_48How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Runqing Hu
PY  - 2023
DA  - 2023/11/30
TI  - Stock Price Prediction Based on Multiple Linear Regression Model
BT  - Proceedings of the 2023 International Conference on Finance, Trade and Business Management (FTBM 2023)
PB  - Atlantis Press
SP  - 439
EP  - 447
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-298-9_48
DO  - 10.2991/978-94-6463-298-9_48
ID  - Hu2023
ER  -