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

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Investigating the Correlation between Fluctuations in the U.S. Stock Industry Index and U.S. Import-Export Volume Fluctuations using the Dynamic Time Warping (DTW) Method

Authors
Ziyue Xu1, *
1Faculty of Science and Engineering, The University of Nottingham Ningbo China, 330200, Ningbo, China
*Corresponding author. Email: smyzx3@nottingham.edu.cn
Corresponding Author
Ziyue Xu
Available Online 30 November 2023.
DOI
10.2991/978-94-6463-298-9_42How to use a DOI?
Keywords
Dynamic Time Warping (DTW); Log return; Stock Industry Index; Total Imports and Exports
Abstract

Affected by the COVID-19 epidemic and the global economic turmoil, the total amount of US imports and exports and the various indexes of US stocks have fluctuated greatly in recent years. As one of the largest economies in the world, the fluctuation of the economic situation of the United States shows the global economic situation to a certain extent, and the total amount of import and export is one of the important indicators. From the theoretical research, there is an indirect economic relationship between the total import and export volume and the industry index, and the fluctuation correlation between the two is supported by economic theory. From the empirical research, this paper uses Log Return and Dynamic Time Warping (DTW) model to analyze and visualize the total volume of US imports and exports and ten typical industry indexes of US stocks. It is found that there is a uniform correlation between the trend of various indexes and the trend of total import and export volume, and there is a correlation law between them. However, there is no industry that is extremely close to the development trend of total imports and exports.

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_42
ISSN
2352-5428
DOI
10.2991/978-94-6463-298-9_42How 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  - Ziyue Xu
PY  - 2023
DA  - 2023/11/30
TI  - Investigating the Correlation between Fluctuations in the U.S. Stock Industry Index and U.S. Import-Export Volume Fluctuations using the Dynamic Time Warping (DTW) Method
BT  - Proceedings of the 2023 International Conference on Finance, Trade and Business Management (FTBM 2023)
PB  - Atlantis Press
SP  - 383
EP  - 391
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-298-9_42
DO  - 10.2991/978-94-6463-298-9_42
ID  - Xu2023
ER  -