Machine learning techniques in bankruptcy prediction: A systematic literature review

A Dasilas, A Rigani - Expert Systems with Applications, 2024 - Elsevier
The main objective of this systematic literature review is to unveil the prevailing trend of
employing cutting-edge models for bankruptcy prediction for a period spanning from 2012 to …

The role of artificial intelligence in developing a banking risk index: an application of Adaptive Neural Network-Based Fuzzy Inference System (ANFIS)

IE Ahmed, R Mehdi, EA Mohamed - Artificial Intelligence Review, 2023 - Springer
Banking risk measurement and management remain one of many challenges for managers
and policymakers. This study contributes to the banking literature and practice in two ways …

[HTML][HTML] Bank failure prediction models: Review and outlook

A Citterio - Socio-Economic Planning Sciences, 2024 - Elsevier
This paper presents a literature review of recent empirical contributions on bank default
prediction. The topic has always been important in the banking and finance literature, but it …

[PDF][PDF] Are Indonesian construction companies financially distressed? A prediction using artificial neural networks

FT Kristanti, Z Safriza, DF Salim - Investment …, 2023 - businessperspectives.org
Construction companies are very dependent on the projects carried out by a company.
Therefore, measuring whether a company is distressed or non-distressed can be done by …

[HTML][HTML] On logit and artificial neural networks in corporate distress modelling for Zimbabwe listed corporates

L Muparuri, V Gumbo - Sustainability Analytics and Modeling, 2022 - Elsevier
Corporate financial distress prediction is a pivotal aspect of economic development. The
ability to foretell that a company will be getting into financial distress is essential for decision …

Predicting bankruptcy using artificial intelligence: The case of the engineering industry

S Letkovsky, S Jencova, P Vasanicova, S Gavura… - Economics & …, 2023 - ceeol.com
Bankruptcy prediction is a powerful early-warning tool and plays a crucial role in various
aspects offinancial and business management. It is vital forsafeguarding investments …

The accuracy of artificial neural networks and logit models in predicting the companies' financial distress

FT Kristanti, V Dhaniswara - Journal of technology management & …, 2023 - SciELO Chile
In the face of the global economic crisis and the resulting uncertainty, it is crucial for
investors and management to predict a company's financial distress for decision-making …

Analisis Financial Distress pada Perusahaan Konstruksi selama PSBB-PPKM era COVID-19 di Indonesia

LS Budiman - Reviu Akuntansi, Manajemen, dan Bisnis, 2023 - penerbitgoodwood.com
Purpose: The purpose of this study is to analyze the extent of financial distress experienced
by construction companies during the implementation of the PSBB-PPKM policy in the …

Ensemble learning with imbalanced data handling in the early detection of capital markets

PAR Mukhlashin, A Fitrianto, AM Soleh… - Journal of Accounting …, 2023 - journal.umy.ac.id
Research aims: This study aims to create an early detection model to predict events in the
Indonesian capital market. Design/Methodology/Approach: A quantitative study comparing …

Analysing the Likelihood of and Market Reaction to Reverse Stock Splits in India

R Nayyar, S Dhamija, C Mehta - Global Business Review, 2023 - journals.sagepub.com
The study analysed the factors that motivated Indian companies to pursue reverse stock
splits strategy. The article also aimed at examining the market reaction around the …