Stock Evaluation Based on Factor Analysis and Clustering

DOI

10.2991/seiem-17.2018.118How to use a DOI?

Keywords

factor analysis, clustering, Stock evaluation

Abstract

The purpose of this paper is to assess the value of listed companies. We used R software for factor analysis and K-means clustering to analyze the eight financial indicators of these companies. Our innovation was to use the most simplified and the most condensed indexes for decision making. The comprehensive results of the two methods show that the sample stock is divided into three categories. Combining CAPM model, we put forward two investment strategies suitable for long-term and short-term investors respectively.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wei Wang
PY  - 2017/12
DA  - 2017/12
TI  - Stock Evaluation Based on Factor Analysis and Clustering
BT  - Proceedings of the 2017 2nd International Seminar on Education Innovation and Economic Management (SEIEM 2017)
PB  - Atlantis Press
SP  - 473
EP  - 476
SN  - 2352-5398
UR  - https://doi.org/10.2991/seiem-17.2018.118
DO  - 10.2991/seiem-17.2018.118
ID  - Wang2017/12
ER  -