Pattern Classification of Disasters Impact on Companies Stock Prices

Kenji Yamaguchi, Yukari Shirota

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

1 Citation (Scopus)

Abstract

We shall estimate the US-China trade friction impact in May 2019 on Japanese companies' stock prices. When the disaster happened, the stock prices drastically decreased. We shall find damaged patterns of the stock price movement. Japanese manufacturing companies have a lot of transactions with Chinese companies. On the other hand, Japanese products such as baby items, cosmetics, and clothing are a lot sold in China. We finally found the latter type B2C based companies showed the quick recovery pattern on their stock price movement in May 2019.

Original languageEnglish
Title of host publication2019 IEEE 10th International Conference on Awareness Science and Technology, iCAST 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728138213
DOIs
Publication statusPublished - Oct 2019
Externally publishedYes
Event10th IEEE International Conference on Awareness Science and Technology, iCAST 2019 - Morioka, Japan
Duration: 23 Oct 201925 Oct 2019

Publication series

Name2019 IEEE 10th International Conference on Awareness Science and Technology, iCAST 2019 - Proceedings

Conference

Conference10th IEEE International Conference on Awareness Science and Technology, iCAST 2019
Country/TerritoryJapan
CityMorioka
Period23/10/1925/10/19

Keywords

  • Disaster Impact Network
  • Disaster impact on stock prices
  • Random Matrix Theory
  • Singular Value Decomposition
  • Us-China trade friction

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