Results 41 to 50 of about 7,744,752 (291)
Applying a probabilistic neural network to hotel bankruptcy prediction [PDF]
Using a probabilistic neural network and a set of financial and nonfinancial variables, this study seeks to improve the ability of the existing bankruptcy prediction models in the hotel industry.
Manuel Ángel Fernández-Gámez +2 more
doaj +1 more source
Benchmarking Machine Learning Models to Predict Corporate Bankruptcy
Using a comprehensive sample of 2,585 bankruptcies from 1990 to 2019, we benchmark the performance of various machine learning models in predicting financial distress of publicly traded U.S. firms. We find that gradient boosted trees outperform other models in one-year-ahead forecasts.
Emmanuel Alanis +2 more
openaire +2 more sources
A comparative study of selected bankruptcy prediction models in insurance companies listed on the Tehran Stock Exchange [PDF]
The purpose of this study is a comparative study of selected models for predicting bankruptcy of insurance companies. The statistical population includes all insurance companies listed on the Tehran Stock Exchange and OTC in the period 2012 to 2016.
Atefeh Safajoo, Hoda Hemmati
doaj +1 more source
This study observes the bankruptcy prediction models introduced by Altman; the First Altman model, the Revised Altman model, and the Modified Altman model to predict bankruptcy for manufacturing companies listed in the Indonesian Stock Exchange.
Ayu Suci Ramadhani, Niki Lukviarman
doaj +4 more sources
Between Domestic and Commonly Known Bankruptcy Prediction Models, How Differ It Can Be?
Risk Management become such an important study after 2008 Financial Crisis. As such the needs of research and improvement of Bankruptcy Prediction Models as risk assessment tool is a must. This paper will help the current and upcoming research in related
Muhamad Fiqri Aripin
doaj +1 more source
PREDICTING CORPORATE BANKRUPTCY IN INDONESIA’S TRANSPORTATION INDUSTRY
This study predicts the potential bankruptcy of transportation firms listed on the Indonesia Stock Exchange in 2014-2019. Three prediction models are modified Altman Z-score, Springate Score, and Zmijewski Score.
Arni Surwanti +2 more
doaj +1 more source
A Hybrid SOM-Altman Model for Bankruptcy Prediction [PDF]
This article analyzes the problems of business bankruptcy, and the methods for bankruptcy prediction. This study proposed to join two models, one is the multi-discriminate Z-Score created by Altman, and the other is the Self-organizing maps. We proposed to generate self-organizing maps based on the financial data of public companies that are included ...
Egidijus Merkevicius +2 more
openaire +2 more sources
Exploring the Role of Global Value Chain Position in Economic Models for Bankruptcy Forecasting
This study addresses a significant gap in the literature by comparing the effectiveness of traditional statistical methods with artificial intelligence (AI) techniques in predicting bankruptcy among small and medium-sized enterprises (SMEs).
Mélanie Croquet +4 more
doaj +1 more source
Predicting Bankruptcy through Neural Network: Case of PSX Listed Companies
The paper reconnoiters if logistic regression (LR) and neural network (NN) can estimate bankruptcy for PSX non-financial companies a year ahead of bankruptcy occurrence; particularly it endeavors to explore how exact LR and NN models are?
Javed Iqbal +3 more
doaj +1 more source
ABSTRACT Rational actors constantly incorporate information into their decision‐making behavior. Since there is often a time lag between the announcement of a policy and its implementation, an important question arises: when do rational actors incorporate new information into their market behavior, at the announcement or at the implementation of a ...
Tim Ölkers, Oliver Mußhoff
wiley +1 more source

