Data Mining Used for Analyzing the Bankruptcy Risk of the Romanian SMEs

2011 ◽  
pp. 144-171
Author(s):  
Laura Giurca Vasilescu ◽  
Marian Siminica ◽  
Cerasela Pirvu ◽  
Costel Ionascu ◽  
Anca Mehedintu
Keyword(s):  
Data Mining ◽  
Social Role ◽  
Small And Medium Enterprises ◽  
Warning System ◽  
Analysis Model ◽  
Bankruptcy Risk ◽  
Risk Levels ◽  
Dynamic Economy ◽  
Early Signal ◽  
Medium Enterprises

The small and medium enterprises (SMEs) represent the backbone of the economy, playing a major economic and social role in the process of developing a dynamic economy. But the recent evolutions in the financial markets, the international financial crisis, the increased competition on markets, the lack of financial resources and the insufficient adaptation of many firms to the requests of the European market are new threats which can determine the bankruptcies of the Romanian SMEs. In this context, starting from the necessity to design an early warning system, we will elaborate a new model for analysis of bankruptcy risk for the Romanian SMEs that combine two main categories of indicators: financial ratios and non-financial indicators. The authors‘ analysis is based on data mining techniques (CHAID) in order to identify the firms’ categories accordingly to the bankruptcy risk levels. Through the proposed analysis model they try to offer a real surveillance system for the Romanian SMEs which can allow an early signal regarding the bankruptcy risk.

Data Mining Used for Analyzing the Bankruptcy Risk of the Romanian SMEs

Data Mining ◽  
2013 ◽  
pp. 920-946
Author(s):  
Laura Giurca Vasilescu ◽  
Marian Siminica ◽  
Cerasela Pirvu ◽  
Costel Ionascu ◽  
Anca Mehedintu
Keyword(s):  
Data Mining ◽  
Social Role ◽  
Small And Medium Enterprises ◽  
Warning System ◽  
Analysis Model ◽  
Bankruptcy Risk ◽  
Risk Levels ◽  
Dynamic Economy ◽  
Early Signal ◽  
Medium Enterprises

The small and medium enterprises (SMEs) represent the backbone of the economy, playing a major economic and social role in the process of developing a dynamic economy. But the recent evolutions in the financial markets, the international financial crisis, the increased competition on markets, the lack of financial resources and the insufficient adaptation of many firms to the requests of the European market are new threats which can determine the bankruptcies of the Romanian SMEs. In this context, starting from the necessity to design an early warning system, we will elaborate a new model for analysis of bankruptcy risk for the Romanian SMEs that combine two main categories of indicators: financial ratios and non-financial indicators. The authors’ analysis is based on data mining techniques (CHAID) in order to identify the firms’ categories accordingly to the bankruptcy risk levels. Through the proposed analysis model they try to offer a real surveillance system for the Romanian SMEs which can allow an early signal regarding the bankruptcy risk.

scholarly journals THE STUDY OF SME’S PROFITABILITY AND ITS RELATION TO THE AVAILABILITY OF ELECTRICAL ENERGY IN TELUK WONDAMA REGENCY

2019 ◽  
Vol 2 (3) ◽  
pp. 173
Author(s):  
Irawantho Irawantho ◽  
Alimuddin Alimuddin ◽  
Nursini Nursini
Keyword(s):  
Small And Medium Enterprises ◽  
Research Result ◽  
Electrical Energy ◽  
Regression Equation ◽  
Primary Data ◽  
Energy Costs ◽  
Analysis Model ◽  
The Government ◽  
Medium Enterprises

This research aimed to investigate the effect of electrical energy costs, the business capital, and the total of the laborers on the profits of the Micro Small and Medium Enterprises in Teluk Wondama Regency.This research used the regression equation. The Objects of the study were Micro Small and Medium Enterprises who were business actors who were impacted doe to the establishment of the cooperation between the Government of Teluk Wondama Regency and PT. PLN in term of supply of the electrical energy. The data were collected using the technique of questionnaires distributed to 90 micro small and medium enterprises. The types of data used were the primary data. The analysis model used in this research was the multiple linear regression.The research result indicated that (1) The electrical costs had a positive and significant effect on the profits of SME in Teluk Wondama Regency; (2) The business capital had a positive and significant effect on the profits of SME in Teluk Wondama Regency; (3) The number of laborers had a positive and significant effect on the profits of SME in Teluk Wondama Regency. The roles of the three factors together had the effect of 46.5%, while the rest of about 53.5% was determined by other factors.

scholarly journals Liquidity, profitability, tax rate and bankruptcy risk in Colombian SMEs

2020 ◽  
Vol 24 (1) ◽  
Author(s):  
Nelson A. Andrade-Valbuena ◽  
Fabio Moscoso Duran ◽  
Carlos Salcedo-Perez
Keyword(s):  
Longitudinal Research ◽  
Small And Medium Enterprises ◽  
Pearson Correlation ◽  
Statistical Evidence ◽  
Tax Rates ◽  
Bankruptcy Risk ◽  
Tax Rate ◽  
Risk Of Failure ◽  
Medium Enterprises ◽  
Score Index

This article looks for statistical evidence for the correlation between liquidity, profitability, tax rates and bankruptcy risk for the period 2011 - 2016 between Small and Medium Enterprises in Bogota (Colombia). To do so, the authors conducted a quantitative, longitudinal research for which the Altman Z’’ Score index was used. Data from 2,084 enterprises belonging to 19 industries was collected. The relations between the variables were analyzed by the Pearson correlation coefficient. A significant positive correlation between the risk of failure and low levels of liquidity was evidenced in several industries. The results for the relation between the risk of bankruptcy and profitability were not conclusive, neither significant. Not enough statistical evidence that related rates of return or tax rates to risk of failure was found.

scholarly journals An application of Altman Z-score model to analyze the bankruptcy risk: cases of multidisciplinary enterprises in Vietnam

2019 ◽  
Vol 16 (4) ◽  
pp. 181-191 ◽  
Author(s):  
Diep Thanh Tung ◽  
Vo Thi Hoang Phung
Keyword(s):  
Small And Medium Enterprises ◽  
Binary Logistic Regression ◽  
Z Score ◽  
Financial Reports ◽  
Bankruptcy Risk ◽  
The Sustainable Development ◽  
Financial Factors ◽  
Score Model ◽  
Medium Enterprises ◽  
The Impact

This study applied Altman Z-score model to assess the bankruptcy risk of a set of multidisciplinary enterprises of various types, mainly small and medium enterprises, with data taken from official financial reports of 180 enterprises in Soc Trang province. The binary logistic regression was employed to assess the impact of non-financial and financial factors on the bankruptcy risk of enterprises. The research findings showed that both the non-financial factors such as business area, types and size of the business, the educational level of managers and executors and other characteristics, and the financial factors (indicators) such as earnings before tax, net profit/equity ratio, earnings before interest and tax/total assets ratio, equity/total debt ratio, affect the bankruptcy risk of enterprises. Predicting the bankruptcy risk and measuring its determinants play an important role not only as an effective managing tool of the business, but also as evidence for policymakers to support the sustainable development of business.

scholarly journals An Advanced Decision Support Platform in Energy Management to Increase Energy Efficiency for Small and Medium Enterprises

2020 ◽  
Author(s):  
Gheorghe Grigoraș ◽  
Bogdan-Constantin Neagu
Keyword(s):  
Data Mining ◽  
Energy Efficiency ◽  
Decision Support ◽  
Energy Consumption ◽  
Production Scheduling ◽  
Small And Medium Enterprises ◽  
Small Enterprise ◽  
Data Mining Techniques ◽  
Medium Enterprises ◽  
The Impact

The paper presents a new vision on the energy consumption management in the case of the Small and Medium Enterprises (SMEs), integrated into an advanced decision support platform, with technical and economic benefits on increasing the energy efficiency, which contains modules for database management, profiling, forecasting, and production scheduling. Inside each module, Artificial Intelligence and Data Mining techniques were proposed to remove the uncertainties regarding the dynamic of technological flows. Thus, the data management module includes the Data Mining techniques, that extract the technical details on the energy consumption needed in the development of production scheduling strategies, the profiling module uses an original approach based on clustering techniques to determine the typical energy consumption profiles required in the optimal planning of the activities, the forecasting module contains a new approach based on an expert system to forecast the total energy consumption of the SMEs, and production scheduling module integrates a heuristic optimization method to obtain the optimal solutions in flattening the energy consumption profile. The testing was done for a small enterprise from Romania, belonging to the domain of trade and repair of vehicles. The obtained results highlighted the advantages of the proposed decision support platform on the decrease in the intensity of energy consumption per unit of product, reduction of the purchase costs, and modification of the impact whom the energy bills have on the operational costs.

scholarly journals Do Financial Inclusion, Debt Behavior Affect Business Investment? Study in Small Medium Enterprise Customers of Bank BPD Yogyakarta Indonesia

2021 ◽  
Author(s):  
Raden Hendry Gusaptono ◽  
R. Heru Kristanto HC ◽  
Efendy S. Yuwono2
Keyword(s):  
Small And Medium Enterprises ◽  
Investment Decisions ◽  
Financial Inclusion ◽  
Analysis Model ◽  
Business Investment ◽  
Bank Behavior ◽  
Medium Enterprise ◽  
Medium Enterprises ◽  
Positive Effect ◽  
Debt Behavior

Bank, financial inclusion, debt behavior, and business investment greatly affect the economic growth of a region industry. The main purpose of this research is to examine the effect of bank behavior, financial inclusion, debt behavior on investment decisions of Micro, Small and Medium Enterprises customers at Bank BPD Yogyakarta, Indonesia. The research sample is BPD Yogyakarta customers Respondents as 200 entrepreneurs are customers who are in debt for business investment. The analysis model uses mediation regression with PLS. The results showed that bank behavior had a positive effect on financial inclusion. Bank behavior has a positive effect on debt behavior. Financial inclusion has a positive effect on business investment. Debt behavior has a positive effect on business investment. Financial inclusion, debt behavior mediates the influence of bank behavior on business investment. The implication of this research is that a clear bank behavior and high commitment of banks are needed in offering bank products. It takes commitment and supervision from the Bank in providing credit to customers so that the use of funds is in accordance with investment objectives.

Pengaruh Pembiayaan Mudharabah Terhadap Perkembangan Usaha Mikro Kecil Menengah (UMKM) di BMT Baiturrahman Bojong Gede

Liquidity ◽  
2018 ◽  
Vol 7 (2) ◽  
pp. 137-143
Author(s):  
Ramon Ramadhan
Keyword(s):  
Sampling Method ◽  
Small And Medium Enterprises ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Strong Relationship ◽  
Simple Linear Regression ◽  
Analysis Model ◽  
Processing Data ◽  
Convenience Sampling ◽  
Medium Enterprises

This study conducted observations and studies to determine the effect of mudharabah financing provided by BMT Baiturrahman on the development of Micro, Small and Medium Enterprises (MSMEs). The research technique used in this study is a quantitative technique with a population of customers who take financing in the BMT with a total of 166 customers financing after using the 10% Slovin error formula to 63 customers as the sample. The sampling technique in this study uses non-probability sampling by convenience sampling method. Whereas for data analysis methods using a simple linear regression analysis model, and for processing data using SPSS 23. This study concluded that mudharabah financing has a very strong relationship (correlation) which is very significant for the development of MSMEs. So it can be concluded that mudharabah financing has a significant effect on the development of MSMEs.

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