Analysis and Categorization of Stock Price Factors via a Novel Framework based on Computer Science Technology
Nowadays, to enter the stock market, company selection (fundamental analysis) and evaluation based on stock price (technical analysis) are significant parts of the preparation for a rational investor. Since there are multiple ways to do the stock analysis and stochastic elements in stock investment, none of these measures can be universally acknowledged infallible, but the result still can be a reference for investors. In this paper, 60 stocks are randomly picked from the American stock market and factor analysis is used to transform the 8 indicator variables of each stock chosen from Wind into 3 factors. Then by using the 3 factors of each stock, this paper figures out the score of each stock and rank the 60 stocks from the highest score to the lowest. Finally, this paper uses the cluster analysis to classify the stocks into 4 categories. The result of the score of each stock and the 4 categories of stocks can be a reference for investors
Year of publication: |
[2023]
|
---|---|
Authors: | Li, Chang ; Pan, Bing ; Xiang, Zheng ; Zhang, Lixuan ; Chen, Lee ; Chen, Don |
Publisher: |
[S.l.] : SSRN |
Saved in:
freely available
Extent: | 1 Online-Ressource (6 p) |
---|---|
Type of publication: | Book / Working Paper |
Language: | English |
Notes: | In: World Journal of Technology and Scientific Research 12.03 (2023): 361-366 Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments January 2023 erstellt |
Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014355408
Saved in favorites
Similar items by person
-
Zhang, Lixuan, (2023)
-
Li, Chang, (2023)
-
Li, Chang, (2023)
- More ...