Advances in Economics, Management and Political Sciences

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Proceedings of the 2023 International Conference on Management Research and Economic Development

Series Vol. 19 , 13 September 2023


Open Access | Article

Trend of Chip Industry under the Negative Interest Rate Policy: Based on Time Series Model

Qiyu Jiang 1 , Yitian Tan * 2 , Yuxi Wang 3
1 Penn State University Harrisburg
2 Brandeis University
3 Xi’an Jiao Tong Liverpool University

* Author to whom correspondence should be addressed.

Advances in Economics, Management and Political Sciences, Vol. 19, 40-47
Published 13 September 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Qiyu Jiang, Yitian Tan, Yuxi Wang. Trend of Chip Industry under the Negative Interest Rate Policy: Based on Time Series Model. AEMPS (2023) Vol. 19: 40-47. DOI: 10.54254/2754-1169/19/20230116.

Abstract

On 7 October 2022, the US government issued a revised policy regarding semiconductor technology export toward China. The 139 pages of rules stated the regulation on export of chips, more specifically, the advanced computer chips that could support AI algorithms. In fact, this is not the first time for US government banning export of high-end computer chips to China, but this one could be the most expensive export restriction within a decade. Chinese chip companies have long suffered from the banning from US government, the development of the whole industry is filled with twists and turns as well, but the thriving of Chinese chip market is still deeply related to the US economy's performance. This paper discovers the correlation between the performance of Chinese chip industry, which is revealed by the index level of chip industry within China's mainland stock market, and the US to RMB exchange rate, starting from 2016 to present. The paper applied ARMA-GARCH model to predict and analyze the data, studying how will US exchange rate affect the development of chip industry in China. It also predicts the development of Chinese chip industry and then makes suggestions for future development of the Chinese chip companies.

Keywords

exchange rate, stock index, chip industry, China, US.

References

1. General admission of customs P.R. CHINA (2022), Table of main imported commodity volume and value in December 2021 (in US dollars)http://www.customs.gov.cn//customs/302249/zfxxgk/2799825/302274/302277/302276/4127373/index.html

2. IC Insights. (2021). Chinese Companies Hold Only 5% of Global IC Marketshare. https://www.design-reuse.com/news/49792/2020-worldwide-ic-marketshare.html

3. Choice Finance. Retrieved January 4, 2023, from https://www.eastmoney.com/

4. Stephanie. (2021). Unit root: Simple definition, unit root tests. Statistics How To. Retrieved January 4, 2023, from https://www.statisticshowto.com/unit-root/

5. Vector autoregressive models: Specification. Retrieved January 4, 2023, from https://onlinelibrary.wiley.com/doi/abs/10.1111/b.9780631215585.1999.00003.x

6. Ren, S. et al. (2022) ‘Polarization Domain Spectrum Sensing Algorithm Based on AlexNet’, Sensors (14248220), 22(22), p. 8946. doi:10.3390/s22228946.

7. Anderson, S. F. (2020). Misinterpreting p: The discrepancy between p values and the probability the nullhypothesis is true, the influence of multiple testing, and implications for the replication crisis. Psychological Methods, 25(5), 596–609. https://doi-org.ez.xjtlu.edu.cn/10.1037/met0000248

8. Yang, H. et al. (2022) ‘The Dynamic Impacts of Weather Changes on Vegetable Price Fluctuations in Shandong Province, China: An Analysis Based on VAR and TVP-VAR Models’, Agronomy, 12(11), p. 2680. doi:10.3390/agronomy12112680.

9. Zhaoyi Zhou (2010) ‘Analysis of Advantages and Disadvantages of the Appreciation of Current Renminbi against US Dollar’, JOURNAL OF JIANGXI FINANCE COLLEGE, 23(4), pp. 42–44.

10. Avdjiev, S., Bruno, V., Koch, C., & Shin, H. S. (2019). The Dollar Exchange Rate as a Global Risk Factor: Evidence from Investment. IMF Economic Review, 67(1), 151–173. https://doi-org.ez.xjtlu.edu.cn/10.1057/s41308-019-00074-4

Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 2023 International Conference on Management Research and Economic Development
ISBN (Print)
978-1-915371-81-2
ISBN (Online)
978-1-915371-82-9
Published Date
13 September 2023
Series
Advances in Economics, Management and Political Sciences
ISSN (Print)
2754-1169
ISSN (Online)
2754-1177
DOI
10.54254/2754-1169/19/20230116
Copyright
13 September 2023
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated