A data mining application in credit scoring processes of small and medium enterprises commercial corporate customers

2019 ◽  
Vol 9 (3) ◽  
Author(s):  
Nihan Gulsoy ◽  
Sinem Kulluk
Keyword(s):  
Data Mining ◽  
Small And Medium Enterprises ◽  
Credit Scoring ◽  
Medium Enterprises ◽  
Corporate Customers ◽  
Data Mining Application

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.

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.

scholarly journals Credit Scoring in SME Asset-Backed Securities: An Italian Case Study

2019 ◽  
Vol 12 (2) ◽  
pp. 89 ◽  
Author(s):  
Andrea Bedin ◽  
Monica Billio ◽  
Michele Costola ◽  
Loriana Pelizzon
Keyword(s):  
Small And Medium Enterprises ◽  
Credit Scoring ◽  
Bank Lending ◽  
Default Probability ◽  
Loss Distribution ◽  
Recovery Rates ◽  
Italian Case ◽  
Level Data ◽  
Asset Backed Securities ◽  
Medium Enterprises

We investigate the default probability, recovery rates and loss distribution of a portfolio of securitised loans granted to Italian small and medium enterprises (SMEs). To this end, we use loan level data information provided by the European DataWarehouse platform and employ a logistic regression to estimate the company default probability. We include loan-level default probabilities and recovery rates to estimate the loss distribution of the underlying assets. We find that bank securitised loans are less risky, compared to the average bank lending to small and medium enterprises.

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.

LEVEL OF ACCESS TO FINANCIAL PRODUCTS AND SERVICES FOR SMALL AND MEDIUM ENTERPRISES IN KENYA.

2017 ◽  
Vol 2 (3) ◽  
pp. 31
Author(s):  
Michael Njeru Njue ◽  
Marion Mbogo
Keyword(s):  
Small Businesses ◽  
Commercial Banks ◽  
Small And Medium Enterprises ◽  
Credit Scoring ◽  
Financial Education ◽  
Target Population ◽  
Survey Study ◽  
Sampling Frame ◽  
Financial Products ◽  
Medium Enterprises

Purpose: The purpose of this study was to highlight the level of access to financial products and services for small and medium enterprises in KenyaMethodology:The research design was descriptive survey study. The target population was 46 commercial banks .The sampling frame was the list of commercial banks given at the Central bank of Kenya Website. A sample of 17 banks was selected using random sampling. The second stage of sampling involved the selection of the respondents using a stratified sampling approach. The strata were the various departments that interact with SMEs in a bank. The respondents were the head of departments of the respective departments that form the strata. Both qualitative and quantitative data was collected using a questionnaire that consisted of both open ended and close ended questions. Data was analysed using Statistical Package for Social Sciences (SPSS.Results: The study objectives were to establish the level of access to financial products and services offered by the banks to SMEs. Results from the bank manager’s perspective indicated that the level of access to finance was high, but the bank clients indicated otherwise, that it was low. The other objective of the study was to determine the factors that hinder the SMEs from accessing the financial products offered by banks. Results indicated that several factors influence access of SMEs to finance. These factors include gender, level of education, size of the business, age of the entrepreneur, collateral, and level of income for the entrepreneurs. All the factors had a negative effect on the access of finances from the banks by SMEs and hence indicate SMEs low access to financial products. Results also indicated that there are tools and systems put in place by banks to improve accessibility to financial products offered to small and medium enterprises.Unique contribution to theory, practice and policy:The study recommended that training be emphasized to SME entrepreneurs on financial matters, all gender to be treated equally, the banks to introduce financial education programs for SMEs to improve their access to credit, banks to further make use of a credit scoring system to assess the credit worthiness of small businesses and to introduce the use of new credit bureau regulations to increase SME finances.

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