@inproceedings{8f531e3ed8c34065bf4db0706033f96b,
title = "Relationship Analysis Between Stock Prices and Financial Statements in the Automobile Industry",
abstract = "This study investigated the relationship between stock prices and companies' financial statements with the aim of providing insights into the usefulness of such an analysis for company managers. Using publicly traded company data and financial statements, we analyzed the correlations between key financial metrics and stock prices and explored the potential benefits and limitations of using financial statement analysis for corporate activity decision-making. The analysis used the SHAP value, which made it possible to find relationships that could not be found using conventional regression analysis.",
keywords = "SHAP value, automobile industry, financial statements, machine learning, stock prices",
author = "Kenji Yamaguchi",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023 ; Conference date: 08-07-2023 Through 13-07-2023",
year = "2023",
doi = "10.1109/IIAI-AAI59060.2023.00091",
language = "English",
series = "Proceedings - 2023 14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "442--445",
booktitle = "Proceedings - 2023 14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023",
}