Prediction of financial distress, using metaheuristic models

AA Ghasemi, M Seyghalib, M Moradi - … and credit activity problems of …, 2018 - fkd.net.ua
forecasting for Iran Khodro Company which was non–failure, but … research is qualitative
nature is the firm's financial crisis. analyze should be based on theory and empirical evidence

Financial distress prediction: The case of French small and medium-sized firms

N Mselmi, A Lahiani, T Hamza - International Review of Financial Analysis, 2017 - Elsevier
… In Section 3, we present comparison of the competing models/techniques used in the literature
of financial distress prediction and introduce our empirical study. Section 4 describes the …

Predicting corporate financial distress using data mining techniques: An application in Tehran Stock Exchange

M Salehi, M Mousavi Shiri… - International Journal of …, 2016 - emerald.com
Financial distress is the most notable distress for companies. During the past four decades,
predicting corporate bankruptcy and financial distress … to predict financial distress of Iranian

Using an ensemble classifier based on sequential floating forward selection for financial distress prediction problem

S Fallahpour, EN Lakvan, MH Zadeh - Journal of Retailing and Consumer …, 2017 - Elsevier
… This paper explored a total of 29 features specified for the Iranian companies. In this
procedure, 5, 10, 15 and 20 features were determined as the numbers of features that should be …

Experimental Comparison of Financial Distress Prediction Models Using Imbalanced data sets

SB Razavi Ghomi, A Mehrazin… - … Mathematical Finance …, 2022 - amfa.arak.iau.ir
… Therefore, to fill such a gap in this study, the performance of financial distress prediction
financial distress prediction models was studied. For this means, 9 financial distress prediction

Using Glow-worm algorithm to predict companies' financial distress

A Mayeli, E Mehregan, M Manna - … Universidad del Quindío, 2022 - ojs.uniquindio.edu.co
problems in the Iranian economic system, the extant study can play a vital role in helping …
empirical study. They found the neural network approach superior to other prediction methods

[HTML][HTML] A novel hybrid model for stock price forecasting based on metaheuristics and support vector machine

M Sedighi, H Jahangirnia, M Gharakhani… - Data, 2019 - mdpi.com
This paper intends to present a new model for the accurate forecast of the stock’s future price.
Stock price forecasting is one of the most complicated issues in view of the high fluctuation …

A novel hybrid model for forecasting crude oil price based on time series decomposition

H Abdollahi - Applied energy, 2020 - Elsevier
… of their model over alternative methods through an empirical study. Moreover, using predictive
… Also, geopolitical de-escalations, such as Iran nuclear deal or changes in OPEC policies, …

Financial distress prediction using the hybrid associative memory with translation

L Cleofas-Sánchez, V García, AI Marqués… - Applied Soft …, 2016 - Elsevier
… Very remarkable cases are the Iranian and Thomas databases where all techniques except
… the very strongly skewed Iranian database is because these methods have obtained a TPR …

Evaluation of the hybrid method of genetic algorithm and adaptive neural-fuzzy network (ANFIS) model in predicting the bankruptcy of companies listed on the Tehran …

MA Rahbar - Journal of applied research on industrial …, 2022 - journal-aprie.com
study includes 136 companies (68 active companies and 68 bankrupt companies). Prediction
of financial distress by … economic conditions of Iran, the results of national research and the …