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Stock Prices Growth Pattern by the Emergency Demand After the Great East-Japan Earthquake

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Advanced Topics in Intelligent Information and Database Systems (ACIIDS 2017)

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Abstract

In many Japanese companies, stock prices were declining just after the Great East Japan Earthquake in Fukushima prefecture on March 11th, 2011. Especially, the North-East Japan companies were a lot damaged. However, on the other hand, some companies’ stock prices rose in the prefectures, such as YAMAYA. YAMAYA is an alcohol wholesaler and retailer company, and the headquarters are located in Sendai-city, the capital and biggest city of Miyagi Prefecture next to Fukushima. From our previous analysis, we concluded that the reason for the rapid growth of YAMAYA would be an increase of alcohol consumption by building construction workers, and others who gathered in Sendai-city. Therefore, their alcohol consumption was considered to be one of the triggers for the economic reconstruction in Sendai-city. In the paper, we conducted an analysis by the Random Matrix Theory to find growth companies in Japan similar to YAMAYA’s pattern. As a result, we found out that the emergency demand for drinking water had promoted the growth of drinking water makers like Coca-Cola CENTRAL JAPAN. The paper describes our Random Matrix Theory based approach to find out the similar growth pattern to YAMAYA.

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Notes

  1. 1.

    The idea of the visualization was given by Prof. Kuboyama through our private communication.

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Acknowledgements

This research was partly supported by funds from the Telecommunications Advancement Foundation research project in 2015–2016. In addition, this study was partly supported by a grant from the Japanese Society for the Promotion of Science from 2015–2017 (15K03619). We sincerely express our gratitude to the Society for its support.

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Correspondence to Kenji Yamaguchi .

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Yamaguchi, K., Yano, Y., Shirota, Y. (2017). Stock Prices Growth Pattern by the Emergency Demand After the Great East-Japan Earthquake. In: Król, D., Nguyen, N., Shirai, K. (eds) Advanced Topics in Intelligent Information and Database Systems. ACIIDS 2017. Studies in Computational Intelligence, vol 710. Springer, Cham. https://doi.org/10.1007/978-3-319-56660-3_14

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  • DOI: https://doi.org/10.1007/978-3-319-56660-3_14

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