Financial Distress Prediction Model of Manufacturing Industry Empirical Evidence from Shenzhen and Shanghai A-share Listed Firms

DOI

10.2991/iccese-18.2018.195How to use a DOI?

Keywords

manufacturing; industry; financial; distress prediction; empirical research

Abstract

Since financial distress prediction model have the features of information collection, financial monitoring, financial identification and financial prevention and so on, we selected financial data of 20 ST companies and non-ST companies from Shenzhen and Shanghai A-share listed companies on the basis of previous research in order to build a financial distress prediction model of manufacturing industry. Firstly, we carry out K-S normal distribution test of financial indexes. Those financial indexes which pass the test can enter into the second stage. Secondly, T test is in progress. This test’s objects are what we mentioned above and non- financial indexes are also included in the T test. Thirdly, Mann-Whitney test is underway for all indicators. Lastly, Principal component analysis is prepared for which have passed the second test or the third test. We abstract 5 principal components and take advantage of coefficient of composition rotation component matrix to build financial distress prediction model.

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  - Lan Wu
AU  - Pan Wan
PY  - 2018/03
DA  - 2018/03
TI  - Financial Distress Prediction Model of Manufacturing Industry Empirical Evidence from Shenzhen and Shanghai A-share Listed Firms
BT  - Proceedings of the 2nd International Conference on Culture, Education and Economic Development of Modern Society (ICCESE 2018)
PB  - Atlantis Press
SP  - 853
EP  - 856
SN  - 2352-5398
UR  - https://doi.org/10.2991/iccese-18.2018.195
DO  - 10.2991/iccese-18.2018.195
ID  - Wu2018/03
ER  -