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Published on 10 November 2023
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Li,Y. (2023). Classification of Cloud Computing Sector Stocks Based on Factor Analysis. Advances in Economics, Management and Political Sciences,43,79-88.
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Classification of Cloud Computing Sector Stocks Based on Factor Analysis

Yunyi Li *,1,
  • 1 Jinan University

* Author to whom correspondence should be addressed.

https://doi.org/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

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Cite this article

Li,Y. (2023). Classification of Cloud Computing Sector Stocks Based on Factor Analysis. Advances in Economics, Management and Political Sciences,43,79-88.

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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About volume

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

Conference website: https://www.icemgd.org/
ISBN:978-1-83558-107-0(Print) / 978-1-83558-108-7(Online)
Conference date: 6 August 2023
Editor:Canh Thien Dang
Series: Advances in Economics, Management and Political Sciences
Volume number: Vol.43
ISSN:2754-1169(Print) / 2754-1177(Online)

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