Advances in Economics, Management and Political Sciences

- The Open Access Proceedings Series for Conferences


Proceedings of the 7th International Conference on Economic Management and Green Development

Series Vol. 43 , 10 November 2023


Open Access | Article

Classification of Cloud Computing Sector Stocks Based on Factor Analysis

Yunyi Li * 1
1 Jinan University

* Author to whom correspondence should be addressed.

Advances in Economics, Management and Political Sciences, Vol. 43, 79-88
Published 10 November 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 Yunyi Li. Classification of Cloud Computing Sector Stocks Based on Factor Analysis. AEMPS (2023) Vol. 43: 79-88. DOI: 10.54254/2754-1169/43/20232130.

Abstract

The development of China's securities market has been more than 30 years, among which China's A-share market has become one of the largest stock markets in the world, and has a good development trend. Since the new era, the digital economy has become an indispensable part of people's lives. Cloud computing related conceptual stocks have received increasing attention from the capital market since 2019. Therefore, this paper classifies the cloud computing stocks and gives some suggestions to investors. 47 cloud computing stocks were randomly selected and their basic data were downloaded from the RESSET database. Through sorting and constructing, two categories of market indicators and fundamental indicators are selected, with a total of 17 variables. In order to reduce the dimensionality of variables, five common factors were first extracted using Factor Analysis and named as price factor, transaction factor, debt paying factor, growth factor, and profit factor according to their characteristics. Using these five factors to carry out K-means clustering, the selected stocks are divided into mature stocks and ordinary stocks.

Keywords

China A-share market, cloud computing, factors analysis, K-means clustering

References

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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 7th International Conference on Economic Management and Green Development
ISBN (Print)
978-1-83558-107-0
ISBN (Online)
978-1-83558-108-7
Published Date
10 November 2023
Series
Advances in Economics, Management and Political Sciences
ISSN (Print)
2754-1169
ISSN (Online)
2754-1177
DOI
10.54254/2754-1169/43/20232130
Copyright
© 2023 The Author(s)
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