Relationship Analysis Between Stock Prices and Financial Statements in the Automobile Industry

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationProceedings - 2023 14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages442-445
Number of pages4
ISBN (Electronic)9798350324228
DOIs
Publication statusPublished - 2023
Event14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023 - Koriyama, Japan
Duration: 8 Jul 202313 Jul 2023

Publication series

NameProceedings - 2023 14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023

Conference

Conference14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023
Country/TerritoryJapan
CityKoriyama
Period8/07/2313/07/23

Keywords

  • automobile industry
  • financial statements
  • machine learning
  • SHAP value
  • stock prices

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