Financial distress prediction for small and medium enterprises using machine learning techniques

A Malakauskas, A Lakštutienė - Engineering Economics, 2021 - inzeko.ktu.lt
Financial distress prediction is a key challenge every financing provider faces when
determining borrower creditworthiness. Inherent opaqueness of Small and Medium …

Cost-sensitive ensemble methods for bankruptcy prediction in a highly imbalanced data distribution: a real case from the Spanish market

N Ghatasheh, H Faris, R Abukhurma… - Progress in Artificial …, 2020 - Springer
Bankruptcy is an issue of interest in the business world since decades. It is a crucial
endeavor for survival to predict this phenomenon in periods of economic turmoil and …

Early Insolvency Prediction as a Key for Sustainable Business Growth

D Kušter, B Vuković, S Milutinović, K Peštović, T Tica… - Sustainability, 2023 - mdpi.com
This research aimed to determine whether and how financial analysis combined with
machine learning can support decision-making for sustainable business growth. This study …

[HTML][HTML] Predicting financial distress in publicly-traded companies

FF Rezende, RMS Montezano, FN Oliveira… - Revista Contabilidade …, 2017 - SciELO Brasil
Several models for forecasting bankruptcy have been developed over the years, one of the
reasons for which is the important part it plays in decision-making. However, forecasting a …

A dynamic credit index system for TSMEs in China using the delphi and analytic hierarchy process (AHP) methods

A Yu, Z Jia, W Zhang, K Deng, F Herrera - Sustainability, 2020 - mdpi.com
A high-quality credit index system is essential for technological small and medium-sized
enterprises (TSMEs) to obtain financing from various institutions, such as banks, venture …

Financial indicators as predictors of illiquidity

D Jovanović, M Todorovic, M Grbic - Available at SSRN 2945488, 2017 - papers.ssrn.com
The main objective of this study is the development of the model for predicting illiquidity, ie
identification of financial indicators on the basis of which one can predict illiquidity. The …

[PDF][PDF] Prediction of the bankruptcy of Slovak companies using neural networks with SMOTE

M Tumpach, A Surovičová, Z Juhászová, A Marci… - Ekonomický …, 2020 - zbw.eu
Although the bankruptcy prediction models can be a stabilizing element on both macro and
microeconomic levels, they are rather a domain of academic research than an instrument …

Financial distress prediction of Chinese listed companies using the combination of optimization model and convolutional neural network

L Zhu, D Yan, Z Zhang, G Chi - Mathematical Problems in …, 2022 - Wiley Online Library
In order to predict financial distress in 3424 Chinese listed companies, we incorporate a
novel time windows optimization model into a convolutional neural network and use 576 …

Why business fail? A thematic review analysis on SMEs

HA Shiyuti, FA Zainol, MSI Ishak - The Journal of …, 2021 - journal.unisza.edu.my
It is not easy to stand up again after any failure because the collapse may not only bind with
the business organisation but it may root straight away to the individual or personality of the …

Previsão de dificuldade financeira em empresas de capital aberto

FF Rezende, RMS Montezano, FN Oliveira… - Revista Contabilidade …, 2017 - SciELO Brasil
Ao longo dos anos, desenvolveram-se diversos modelos de previsão de insolvência, sendo
uma das razões o seu importante papel na tomada de decisão. Entretanto, ao prever a …