Classification of Dynamic Financial Distress Manufacturing Company Listed in Indonesia Stock Exchange Using Binary Logistic Regression and Classification Analysis Regression Tree
- 10.2991/aebmr.k.200410.033How to use a DOI?
- financial distress, classification manufacturing company, binary logistic regression, CART
Financial Distress (FD) is a large concept consists several situations where the enterprise facing financial difficulty. Some manufacturing enterprise that are experiencing financial difficulties trying to overcome these problems by make loans and merger, or otherwise shut down their company. If the condition of FD is known, it is expected to take action to improve the situation so that the enterprise will not experience more severe difficulties such as bankruptcy or liquidation. The purpose of this study is to determine the factors that allegedly significantly influence for financial distress, and knowing classification model of financial distress. Thus, this study will try to classify the dynamic financial distress companies that listed on stock exchanges in Indonesia 2012-2014 using binary logistic regression and classification and regression tree analysis (CART). Before analyzing the binary logistic regression and CART, first the data must be balanced using SMOTE. Binary logistic regression developed the model of FD to see the factors that allegedly significantly influence for financial distress, while CART method is to solve the classification. Experimental results show that binary logistic regression has two predictor variables that significantly influence for FD condition for manufacturing enterprise and that variable is liquidity ratio and the activity ratio. CART classification method produces that maximum classification tree is equal to the optimum classification tree, with the primary node is variable solvency ratio, and the value of a classification. CART method outperforms the binary logistic regression with the classification’s accuracy has more than ten percent.
- © 2020, 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/).
Cite this article
TY - CONF AU - Nugroho Priyo Negoro AU - Aldia Wira Trispantia PY - 2020 DA - 2020/04/13 TI - Classification of Dynamic Financial Distress Manufacturing Company Listed in Indonesia Stock Exchange Using Binary Logistic Regression and Classification Analysis Regression Tree BT - Proceedings of the 3rd Asia Pacific International Conference of Management and Business Science (AICMBS 2019) PB - Atlantis Press SP - 214 EP - 220 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.200410.033 DO - 10.2991/aebmr.k.200410.033 ID - Negoro2020 ER -