Research on the Factor Analysis and Logistic Regression with the Applications on the Listed Company Financial Modeling

DOI

10.2991/icsste-16.2016.103How to use a DOI?

Keywords

Factor Analysis, Logistic Regression, Listed Company, Financial Modeling, Application.

Abstract

In this paper, we conduct research on primary factor analysis and logistic regression with applications on the listed company financial modeling. In this paper, the brief introduction of the basic background of China's listed companies financial index research and the research process, on the basis of systematic analysis of the listed company financial index compiled by the theoretical and practical significance, the nature of the index, definition and its components, and the index compiled by the basic train of thought and the key problem. We believe that the formulation of China's listed company accounting information and financial index is the expansion of financial analysis, compared with the traditional accounting and financial information, open, repeatable collect data base and the editing and release of appropriate subject is financial index, two important problems in research and preparation. Our research combines the factor analysis and logistic regression to form the novel and revised form of financial modelling paradigm that is innovative.

Copyright

© 2016, 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/).

Download article (PDF)

TY  - CONF
AU  - Pengwen Xiao
PY  - 2016/05
DA  - 2016/05
TI  - Research on the Factor Analysis and Logistic Regression with the Applications on the Listed Company Financial Modeling
BT  - Proceedings of the 2016 2nd International Conference on Social Science and Technology Education (ICSSTE 2016)
PB  - Atlantis Press
SP  - 554
EP  - 559
SN  - 2352-5398
UR  - https://doi.org/10.2991/icsste-16.2016.103
DO  - 10.2991/icsste-16.2016.103
ID  - Xiao2016/05
ER  -