Log in

Relevant bibliographies by topics / Model of bankruptcy / Journal articles

To see the other types of publications on this topic, follow the link: Model of bankruptcy.

Journal articles on the topic 'Model of bankruptcy'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Model of bankruptcy.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Syed Nor, Sharifah Heryati, Shafinar Ismail, and Bee Wah Yap. "Personal bankruptcy prediction using decision tree model." Journal of Economics, Finance and Administrative Science 24, no. 47 (2019): 157–70. http://dx.doi.org/10.1108/jefas-08-2018-0076.

Full text

Abstract:

Purpose Personal bankruptcy is on the rise in Malaysia. The Insolvency Department of Malaysia reported that personal bankruptcy has increased since 2007, and the total accumulated personal bankruptcy cases stood at 131,282 in 2014. This is indeed an alarming issue because the increasing number of personal bankruptcy cases will have a negative impact on the Malaysian economy, as well as on the society. From the aspect of individual’s personal economy, bankruptcy minimizes their chances of securing a job. Apart from that, their account will be frozen, lost control on their assets and properties

APA, Harvard, Vancouver, ISO, and other styles

2

Syed Nor, Sharifah Heryati, Shafinar Ismail, and Yap Bee Wah. "Personal Bankruptcy Prediction Using Logistic Regression Model." Information Management and Business Review 16, no. 3S(I)a (2024): 366–78. http://dx.doi.org/10.22610/imbr.v16i3s(i)a.4139.

Full text

Abstract:

According to the Insolvency Department of Malaysia, as of December 2023, 233,483 Malaysians are currently involved in bankruptcy cases due to their defaults on hire purchase loans, credit card loans, personal loans, housing loans, and business loans. This is indeed a critical issue because the growing number of personal bankruptcy cases will hurt the Malaysian economy as well as society. From an individual's economic perspective, bankruptcy minimizes their chances of getting a job. Apart from that, their accounts will be frozen, they will lose control of their properties and assets, and they w

APA, Harvard, Vancouver, ISO, and other styles

3

Blanco-Oliver, A., A. Irimia-Dieguez, M. D. Oliver-Alfonso, and M. J. Vázquez-Cueto. "Hybrid model using logit and nonparametric methods for predicting micro-entity failure." Investment Management and Financial Innovations 13, no. 3 (2016): 35–46. http://dx.doi.org/10.21511/imfi.13(3).2016.03.

Full text

Abstract:

Following the calls from literature on bankruptcy, a parsimonious hybrid bankruptcy model is developed in this paper by combining parametric and non-parametric approaches.To this end, the variables with the highest predictive power to detect bankruptcy are selected using logistic regression (LR). Subsequently, alternative non-parametric methods (Multilayer Perceptron, Rough Set, and Classification-Regression Trees) are applied, in turn, to firms classified as either “bankrupt” or “not bankrupt”. Our findings show that hybrid models, particularly those combining LR and Multilayer Perceptron, of

APA, Harvard, Vancouver, ISO, and other styles

4

Gu, Zheng, and Luyuan Gao. "A Multivariate Model for Predicting Business Failures of Hospitality Firms." Tourism and Hospitality Research 2, no. 1 (2000): 37–49. http://dx.doi.org/10.1177/146735840000200108.

Full text

Abstract:

This study estimated a multivariate discriminant model for predicting hospitality firm bankruptcy. The model has a 93 per cent accuracy in classifying the in-sample firms into bankrupt and non-bankrupt firms. The model suggests that unprofitable firms burdened with debts, short-term debts in particular, are more likely to be candidates for bankruptcy. Fast expansion and sales growth of those firms may increase their bankruptcy likelihood.

APA, Harvard, Vancouver, ISO, and other styles

5

Prof., Rohini Sajjan. "PREDICTING BANKRUPTCY OF SELECTED FIRMS BY APPLYING ALTMAN'S Z-SCORE MODEL." International Journal of Research – Granthaalayah 4, no. 4 (2017): 152–58. https://doi.org/10.5281/zenodo.846680.

Full text

Abstract:

Predication of Bankruptcy is critical task. Early stage of identification of likelihood of solvency may avoid evils in the near future & may shelter the firm from Bankruptcy situation. Bankruptcy of organizations can be predicated by using Altman’s Z-Score Model. This study tries to apply the model to understand the likelihood of Bankruptcy of selected firms for past 5 years from 2011 to 2015 which are listed in BSE & NSE. Companies are selected from manufacturing & non-manufacturing sector. The study reveals that none of the companies completely belongs to Safe Zone except for few

APA, Harvard, Vancouver, ISO, and other styles

6

Lukason, Oliver, and Kaspar Käsper. "Failure prediction of government funded start-up firms." Investment Management and Financial Innovations 14, no. 2 (2017): 296–306. http://dx.doi.org/10.21511/imfi.14(2-2).2017.01.

Full text

Abstract:

This study aims to create a prediction model that would forecast the bankruptcy of government funded start-up firms (GFSUs). Also, the financial development patterns of GFSUs are outlined. The dataset consists of 417 Estonian GFSUs, of which 75 have bankrupted before becoming five years old and 312 have survived for five years. Six financial ratios have been calculated for one (t+1) and two (t+2) years after firms have become active. Weighted logistic regression analysis is applied to create the bankruptcy prediction models and consecutive factor and cluster analyses are applied to outline the

APA, Harvard, Vancouver, ISO, and other styles

7

Anandasayanan.S and V.A Subramaniam. "PREDICTING BANKRUPTCY OF SELECTED MANUFACTURING COMPANIES LISTED IN COLOMBO STOCK EXCHANGE: APPLYING ALTMAN'S Z-SCORE." International Journal of Research -GRANTHAALAYAH 5, no. 2 (2017): 313–21. https://doi.org/10.5281/zenodo.376051.

Full text

Abstract:

Bankruptcy is the legal status for an individual or company incapable to pay off outstanding debt. Predication of Bankruptcy is critical task. Early stage of identification of likelihood of solvency may avoid evils in the near future & may shelter the firm from Bankruptcy situation. Bankruptcy of organizations can be predicated by using Altman’s Z-Score Model. This study tries to apply the model to understand the likelihood of Bankruptcy of selected listed manufacturing firms for past 5 years from 2010 to 2014 which are listed in Colombo Stock Exchange. The study reveals that four companie

APA, Harvard, Vancouver, ISO, and other styles

8

Kopczyński, Paweł. "Bankruptcy risk assessment of Polish listed companies using Asian multiple discriminant analysis models." Zeszyty Teoretyczne Rachunkowości 46, no. 2 (2022): 69–96. http://dx.doi.org/10.5604/01.3001.0015.8810.

Full text

Abstract:

Purpose: The main purpose of this article is to evaluate whether multiple discriminant analysis models developed in Malaysia to forecast the bankruptcy of Malaysian indus-trial companies and Singaporean companies can be useful in assessing the risk of bank-ruptcy of Polish listed companies. Methodology/approach: To test the efficacy of these discriminant models, the finan-cial statements of 25 bankrupt Polish companies and 25 viable companies were used. The accuracy of the classification of these enterprises into two groups (potential bank-ruptcy and companies able to survive on the market) wa

APA, Harvard, Vancouver, ISO, and other styles

9

Iwan, Mohamad. "BANKRUPTCY PREDICTION MODEL WITH ZETAc OPTIMAL CUT-OFF SCORE TO CORRECT TYPE I ERRORS." Gadjah Mada International Journal of Business 7, no. 1 (2005): 41. http://dx.doi.org/10.22146/gamaijb.5563.

Full text

Abstract:

This research examines financial ratios that distinguish between bankrupt and non-bankrupt companies and make use of those distinguishing ratios to build a one-year prior to bankruptcy prediction model. This research also calculates how many times the type I error is more costly compared to the type II error. The costs of type I and type II errors (cost of misclassification errors) in conjunction to the calculation of prior probabilities of bankruptcy and non-bankruptcy are used in the calculation of the ZETAc optimal cut-off score. The bankruptcy prediction result using ZETAc optimal cut-off

APA, Harvard, Vancouver, ISO, and other styles

10

Masduki, Uki, Adi Rizfal Efriadi, and Ermalina Ermalina. "Kemampuan Model Z- Score dan Model Springate Dalam Memprediksi Financial Distress BPR Multi Artha Sejahtera." Jurnal Manajemen dan Keuangan 8, no. 1 (2019): 68–79. http://dx.doi.org/10.33059/jmk.v8i1.1156.

Full text

Abstract:

The purpose of this study was to test the ability of the model or analytical tool used to predict the bankruptcy of the company, namely the Altman's Z-afternoon model and the Springate model of BPR Multi Artha Sejahtera whose license has been revoked by the Financial Services Authority (OJK) through Commissioner Decree Number 16 / KDK.03 / 2016 with company considerations deteriorating. The data used is secondary data, namely the 2012-2015 BPR Multi Artha Sejahtera financial report data obtained from Bank Indonesia reports. The data is then analyzed using the Altman Z-score (Z-Score) and Sprin

APA, Harvard, Vancouver, ISO, and other styles

11

Sfakianakis, Evangelos. "Bankruptcy prediction model for listed companies in Greece." Investment Management and Financial Innovations 18, no. 2 (2021): 166–80. http://dx.doi.org/10.21511/imfi.18(2).2021.14.

Full text

Abstract:

This paper deals with the ever-increasing issue of bankruptcy prediction in distressed economies. Specifically, the aim of this study is to create a model by establishing a new set of predictor variables, which achieves significant discrimination among listed manufacturing firms in Greece, by using multivariate discriminant analysis (MDA). An equally balanced matched sample of 28 Greek-listed manufacturing firms was used in this study covering the distressed period from 2008 to 2015 (including all firms that went bankrupt between 2008–2015). It is found that the quick ratio, cash flow interest

APA, Harvard, Vancouver, ISO, and other styles

12

Martini, Rita, Rana Raihana Aksara, Kartika Rachma Sari, Zulkifli Zulkifli, and Sukmini Hartati. "Comparison of Financial Distress Predictions With Altman, Springate, Zmijewski, and Grover Models." Golden Ratio of Finance Management 3, no. 1 (2023): 11–21. http://dx.doi.org/10.52970/grfm.v3i1.216.

Full text

Abstract:

Several predictive models of financial distress and corporate bankruptcy have been developed. In this study, the Altman model (Z-Score), the Springate model (S-Score), the Zmijewski model (X-Score), and the Grover model (G-Score) were used. These methods are used to analyze the potential for financial difficulties which in the end to determine the potential for bankruptcy at PT Garuda Indonesia (Persero) Tbk. The secondary data used is in the form of financial statements for 2018-2020. The results of the bankruptcy prediction using the Altman model resulted in PT Garuda Indonesia (Persero), Tb

APA, Harvard, Vancouver, ISO, and other styles

13

Šlefendorfas, Gediminas. "Bankruptcy prediction model for private limited companies of Lithuania." Ekonomika 95, no. 1 (2016): 134–52. http://dx.doi.org/10.15388/ekon.2016.1.9910.

Full text

Abstract:

The paper is mainly devoted to the bankruptcy prediction models and their ability to assess a bankruptcy probability for Lithuanian companies. The study showed that the most common type of companies in Lithuania is a private limited company, therefore, the main objective was to analyse such companies’ financial information and by using these results, create a new bankruptcy prediction model, which would allow to predict the bankruptcy probability as accurately as possible. 145 companies (73 already bankrupt and 72 still operating) were chosen as a primary sample and by using multivariate discr

APA, Harvard, Vancouver, ISO, and other styles

14

Peter, Peter, Herlina Herlina, and Jessica Wiraatmaja. "ANALISIS KEBANGKRUTAN PERUSAHAAN MELALUI PERBANDINGAN MODEL ALTMAN Z-SCORE, MODEL SPRINGATE'S, DAN MODEL FULMER PADA INDUSTRI SEMEN DI INDONESIA." Ultima Management : Jurnal Ilmu Manajemen 13, no. 2 (2021): 369–78. https://doi.org/10.31937/manajemen.v13i2.2313.

Full text

Abstract:

Abstract- The aims of this research is to determine the difference between the rate of bankrupcy Altman Z- Score Model, Springate's Model, and Fulmer Model, as well as measures which model is most accurate in predicting bankruptcy at cement companies that listed at Indonesia Stock Exchange period 2014 – 2018 (PT. Indocement Tunggal Prakasa Tbk, PT. Semen Baturaja Tbk, PT. Holcim Indonesia Tbk, and PT. Semen Indonesia Tbk). The Collection of the data that we used is documentation, that we collecting data of financial reports from 2014- 2018 periods. In this research, ratio analysis and regressi

APA, Harvard, Vancouver, ISO, and other styles

15

Wulansari, Siska, and Nelvirita Nelvirita. "Prediksi Kebangkrutan dengan Model Grover, Altaman Z-Score, Springate, Zmijewski, Olhson dan Fulmer: pada Perusahaan Pertambangan di Bursa Efek Indonesia (BEI) Tahun 2017 – 2021." Jurnal Nuansa Karya Akuntansi 2, no. 3 (2024): 307–19. https://doi.org/10.24036/jnka.v2i3.54.

Full text

Abstract:

The aim of this research is to determine (1) predictions of bankruptcy for mining companies listed on the Indonesia Stock Exchange using the Altman Z-Score, Springate, Fulmer, Ohlson, Zmijewski and Grover models from 2017 to 2021, and (2) to determine the level of accuracy six models in predicting bankruptcy. The sampling method used purposive sampling with several criteria which resulted in 37 samples of mining companies during 5 years of data observation. The research results show that, using the Altman model and the Ohlson model, it is estimated that 12 companies will experience bankruptcy.

APA, Harvard, Vancouver, ISO, and other styles

16

Ika, Yuanita, Trinanto Novirwan, Sumiarti Elni, and Yenida. "Bankruptcy Prediction Model Under Uncertainty in Indonesia." International Journal of Social Science and Human Research 08, no. 04 (2025): 2583–92. https://doi.org/10.5281/zenodo.15314662.

Full text

Abstract:

This paper assesses three issues in predicting of the bankruptcy under uncertainty in the COVID-19 pandemic within the Textile and Garment companies listing in the IDX Stock Exchange. First, it determines the industry characteristics that categorizes potential to bankrupt or non-bankrupt. Second, it identifies predictors as the benchmark model’s that can indicate a company's potential to bankrupt. Third, it assesses the bankruptcy prediction panels are more significant than the benchmark model’s that concerning the financial ratios, firm characteristics, and macroeconomic. Using th

APA, Harvard, Vancouver, ISO, and other styles

17

Gruszczyński, Marek. "On Unbalanced Sampling in Bankruptcy Prediction." International Journal of Financial Studies 7, no. 2 (2019): 28. http://dx.doi.org/10.3390/ijfs7020028.

Full text

Abstract:

The paper discusses methodological topics of bankruptcy prediction modelling—unbalanced sampling, sample bias, and unbiased predictions of bankruptcy. Bankruptcy models are typically estimated with the use of non-random samples, which creates sample choice biases. We consider two types of unbalanced samples: (a) when bankrupt and non-bankrupt companies enter the sample in unequal numbers; and (b) when sample composition allows for different ratios of bankrupt and non-bankrupt companies than those in the population. An imbalance of type (b), being more general, is examined in several sections o

APA, Harvard, Vancouver, ISO, and other styles

18

Nasmi, Widia, and Mayar Afriyenti. "Analisis Prediksi Kebangkrutan pada Perusahaan Manufaktur Sub Sektor Food & Beverages Yang Terdaftar di Bursa Efek Indonesia: Menggunakan Model Altman, Springate, dan Grover." JURNAL EKSPLORASI AKUNTANSI 3, no. 4 (2021): 749–63. http://dx.doi.org/10.24036/jea.v3i4.421.

Full text

Abstract:

The objective of this research is to determine (1) the prediction of bankruptcy of manufacturing companies in the food and beverages sub-sector listed on the Indonesia Stock Exchange by using the Altman, Springate and Grover models in the 2016 to 2019 period, and (2) to find out the differences in the results of bankruptcy predictions, and also to determine the level of accuracy of the five models in predicting bankruptcy. Sampling method used Purposive Sampling with some criterias which produce 14 samples of food and beverages firms for 5 years of data observation. The results indicate that,

APA, Harvard, Vancouver, ISO, and other styles

19

Al-Hroot, Yusuf Ali Khalaf. "Bankruptcy Prediction Using Multilayer Perceptron Neural Networks In Jordan." European Scientific Journal, ESJ 12, no. 4 (2016): 425. http://dx.doi.org/10.19044/esj.2016.v12n4p425.

Full text

Abstract:

This study attempts to develop bankruptcy prediction model for the Jordanian industrial sector with a recent approach—neural networks. The multilayer perceptron neural network (MPNN) approach was used to develop the bankruptcy prediction model for the Jordanian industrial companies for the period from 2000 to 2015. The samples have been divided into two subsets: the first set for developing or building the model, made up of 14 companies, of which 7 are bankrupt and 7 are non-bankrupt; while the second is a hold-out sample for testing the model, made up of 18 companies, of which 9 are bankrupt

APA, Harvard, Vancouver, ISO, and other styles

20

Sajjan, Rohini. "PREDICTING BANKRUPTCY OF SELECTED FIRMS BY APPLYING ALTMAN’S Z-SCORE MODEL." International Journal of Research -GRANTHAALAYAH 4, no. 4 (2016): 152–58. http://dx.doi.org/10.29121/granthaalayah.v4.i4.2016.2767.

Full text

Abstract:

Predication of Bankruptcy is critical task. Early stage of identification of likelihood of solvency may avoid evils in the near future & may shelter the firm from Bankruptcy situation. Bankruptcy of organizations can be predicated by using Altman’s Z-Score Model. This study tries to apply the model to understand the likelihood of Bankruptcy of selected firms for past 5 years from 2011 to 2015 which are listed in BSE & NSE. Companies are selected from manufacturing & non-manufacturing sector. The study reveals that none of the companies completely belongs to Safe Zone except for few

APA, Harvard, Vancouver, ISO, and other styles

21

Halek, Vitezslav. "Practical application of the CCB model in Czechia." Zbornik radova Ekonomskog fakulteta u Rijeci: časopis za ekonomsku teoriju i praksu/Proceedings of Rijeka Faculty of Economics: Journal of Economics and Business 39, no. 2 (2021): 299–323. http://dx.doi.org/10.18045/zbefri.2021.2.299.

Full text

Abstract:

This research aimed to present a new bankruptcy prediction model and apply this original prediction method in practice. The Come Clean Bankruptcy (or CCB) model uses relevant financial indicators and ratios to detect the signs of impending financial distress in time so that the management can take appropriate measures to avoid it. The model was applied to the data reported by 199 entities operating in the textile/clothing industry in the Czech Republic. Analyzing data reported for the previous seven years enabled us to predict which companies are more likely to end in a difficult financial sit

APA, Harvard, Vancouver, ISO, and other styles

22

Vinnikova, Irina. "Assessment of factors that affect the bankruptcy of an organization." Scientific notes of the Russian academy of entrepreneurship 19, no. 1 (2020): 57–71. http://dx.doi.org/10.24182/2073-6258-2020-19-1-57-71.

Full text

Abstract:

Analysis of factors that influence the company's bankruptcy is one of the main tasks for companies that want to assess their financial situation and prevent possible bankruptcy in a timely manner. This article analyzes the factors that affect the company's bankruptcy. A logistic regression model was constructed based on the indicators of both bankrupt and financially stable companies. During the development of the model, significant factors were identified for predicting the bankruptcy of the organization. The results will be useful both for future bankruptcy researchers and for those companie

APA, Harvard, Vancouver, ISO, and other styles

23

Chekudaev, K. V., G. A. Suyazova, E. A. Motina, and N. A. Matvienko. "Application financial analysis methods for the designing of innovative food enterprises, aimed at import substitution." Proceedings of the Voronezh State University of Engineering Technologies 81, no. 1 (2019): 397–401. http://dx.doi.org/10.20914/2310-1202-2019-1-397-401.

Full text

Abstract:

The article formulates the problem of the lack of pectin production in the country, which affects the food security of Russia. The relevance and significance of this problem, as well as the feasibility of creating a pectin production line in the territory of the Voronezh Region are considered. Various technologies for the production of pectin are given, but the most progressive is the method of electro-membrane processing of technological media. Further, the work presents the production and financial plan of the projected enterprise for the production of pectin and based on its results, forwar

APA, Harvard, Vancouver, ISO, and other styles

24

Kusmartono, Hendra, and Toto Rusmanto. "Model prediksi kebangkrutan pada perusahaan perusahaan properti-konstruksi di Indonesia." SOSIOHUMANIORA: Jurnal Ilmiah Ilmu Sosial Dan Humaniora 8, no. 2 (2022): 158–72. http://dx.doi.org/10.30738/sosio.v8i2.12298.

Full text

Abstract:

This study aims to analyze the Altman, Grover, and AAN models in predicting the bankruptcy of construction-property companies in Indonesia. Sample selection used the purposive sampling method, and the sample is property and construction companies listed on the Indonesia Stock Exchange. Data analysis used Hit Ratio followed by Kruskal Wallis and Mann-Whitney statistical tests. The analysis of bankruptcy predictions using the Altman method obtained that in 2015 there were two issuers grouping bankrupt companies; in 2016, 2017, and 2018, there were four issuers, and five issuers in 2019. The Grov

APA, Harvard, Vancouver, ISO, and other styles

25

Dewi, Ida Ayu Pradnyandhari, and I. Wayan Ramantha. "Prediksi Kebangkrutan Menggunakan Model Grover, Zmijewski, & Altman Pada LPD di Kabupaten Gianyar Tahun 2013-2017." E-Jurnal Akuntansi 29, no. 3 (2019): 1041. http://dx.doi.org/10.24843/eja.2019.v29.i03.p10.

Full text

Abstract:

LPDs throughout the Gianyar Regency have assets of Rp. 3.6 trillion, but from 2013 to 2017 there were 41 non-operating. This study uses other alternatives besides CAMEL and determines which model has the accuracy between the grover, zmijewski and altman models in predicting LPD bankruptcy. The results showed that in 2013, 2014, and 2016 there were 2 LPDs and in 2015 and 2017 there were 1 LPDs that were predictet bankrupt using the grover model. In 2013 there were 78 LPDs, in 2014 and 2017 there were 76 LPDs and in 2016 there were 77 LPDs that were predicted bankrupt using the zmijewski model.

APA, Harvard, Vancouver, ISO, and other styles

26

Noh, Seol-Hyun. "Comparing the Performance of Corporate Bankruptcy Prediction Models Based on Imbalanced Financial Data." Sustainability 15, no. 6 (2023): 4794. http://dx.doi.org/10.3390/su15064794.

Full text

Abstract:

Forecasts of corporate defaults are used in various fields across the economy. Several recent studies attempt to forecast corporate bankruptcy using various machine learning techniques. We collected financial information on 13 variables of 1020 companies listed on the KOSPI and KOSDAQ to capture the possibility of corporate bankruptcy. We propose a data processing method for small-sample domestic corporate financial data. We investigate the case of random sampling of non-bankrupt companies versus sampling non-bankrupt companies based on approximate entropy and optimized threshold based on AUC

APA, Harvard, Vancouver, ISO, and other styles

27

Nurdini, Rizki Amalia, Yudi Priyadi, and Norita . "Analisis Prediksi Kebangkrutan Perusahaan Menggunakan Artificial Neural Network Pada Sektor Pertambangan Batubara." JURNAL SISTEM INFORMASI BISNIS 8, no. 1 (2018): 107. http://dx.doi.org/10.21456/vol8iss1pp107-114.

Full text

Abstract:

Indonesia’s coal mining industry has been decreased since the last five years and causing the financial performance of companies in the industry to deteriorate. The aim of this paper is to analyze the bankruptcy prediction on coal mining sector companies listed in Indonesia Stock Exchange (IDX) in 2012 – 2016 using data mining prediction method that is artificial neural network model with three financial ratios as an input parameter. The financial ratios used are shareholder’s equity ratio, current ratio and return on assets. The results indicate that these ratios are very suitable to be used

APA, Harvard, Vancouver, ISO, and other styles

28

Aadilah, Salmaa Rif’at, and Teguh Parmono Hadi. "ANALISIS TINGKAT KEBANGKRUTAN SEBELUM DAN SAAT PANDEMI DENGAN MENGGUNAKAN METODE ALTMAN Z-SCORE DAN SPRINGATE S-SCORE (STUDI KASUS PADA PERUSAHAAN RETAIL YANG TERDAFTAR DI BURSA EFEK INDONESIA 2016-2020)." Dinamika Akuntansi Keuangan dan Perbankan 11, no. 1 (2022): 81–91. http://dx.doi.org/10.35315/dakp.v11i1.8963.

Full text

Abstract:

This study aims to determine the difference in results in predicting bankruptcy using the Altman Z-Score model and the Springate S-Score model, as well as ineasures which model is most accurate in predicting bankruptcy at retail companies at Indonesia. The population used in this study are retail companies listed on the Indonesia Stock Exchange (IDX) for the 2016-2020 period with a sample of 11 companies. The sampling method used in this study was purposive sampling. The data analysis technique used multiple discriminant analysis. The results showed that there were differences in the results i

APA, Harvard, Vancouver, ISO, and other styles

29

Bogdan, Siniša, Luka Šikić, and Suzana Bareša. "Predicting bankruptcy based on the full population of Croatian companies." Ekonomski pregled 72, no. 5 (2021): 643–69. http://dx.doi.org/10.32910/ep.72.5.1.

Full text

Abstract:

This paper analyses the bankruptcy prediction based on the population of companies representative of the total business sector in Croatia. The representativity of the sample is achieved through the propensity score matching of the full population of bankrupt and similar non-bankrupt companies. The robust estimation of bankruptcy prediction is carried out through the multiple discriminant analysis (MDA) and logistic regression (logit). The results indicate high classification accuracy of both models, but more favourable performance of the logit estimation. Overall accuracy of the MDA model was

APA, Harvard, Vancouver, ISO, and other styles

30

Del Castillo García, Agustín, and Sergio Manuel Fernández Miguélez. "Predictive potential of the bankruptcy global models in the tourism industry." Tourism & Management Studies 17, no. 4 (2021): 23–31. http://dx.doi.org/10.18089/tms.2021.170402.

Full text

Abstract:

The globalisation process and the recent economic crises have increased the development of models to identify the factors related to business bankruptcy. The tourism industry is not immune to this concern, and in the previous literature, bankruptcy prediction models are generally focused on hotels or restaurants. However, there are no experiences of global models for tourism companies. This study develops a global bankruptcy prediction model capable of predicting any activities carried out in the tourism industry with high precision. To this end, a sample of 406 Spanish companies that have dev

APA, Harvard, Vancouver, ISO, and other styles

31

Budiwati, Hesti. "Analisis Rasio Keuangan Camel Terhadap Prediksi Kepailitan." Wiga : Jurnal Penelitian Ilmu Ekonomi 1, no. 2 (2011): 50–72. https://doi.org/10.30741/wiga.v1i2.50.

Full text

Abstract:

The challenge of the banking sector in the future will be more severe, most of which are perceived as a failure of risk management in managing risk can lead to bankruptcy. CAMEL financial ratio analysis can be used as an early warning system of bankruptcy. The purpose of this study are: 1) to obtain empirical evidence regarding differences in financial ratios simultaneously CAMEL significant between bankrupt and insolvent banks, 2) to obtain empirical evidence regarding differences in financial ratios partially CAMEL significant between bankrupt and insolvent banks, 3) to obtain empirical evid

APA, Harvard, Vancouver, ISO, and other styles

32

Fedorova, E. A., L. E. Khrustova, and D. V. Chekrizov. "Industry characteristic of bankruptcy prediction models appliance." Strategic decisions and risk management, no. 1 (May 25, 2018): 64–71. http://dx.doi.org/10.17747/2078-8886-2018-1-64-71.

Full text

Abstract:

The aim of the research is to develop the methodology of bankruptcy prediction applying the specified statutory values of the existing models with a glance to company’s industry and developing the author’s prediction model. Initially authors estimated the forecast accuracy of the existing models for the enterprises of 8 industries. Using CART (Classification And Regression Tree) methodology the original statutory values of the models were specified for every industry under research. The calculated statutory values demonstrated the high level of prediction accuracy and balanced the indicators o

APA, Harvard, Vancouver, ISO, and other styles

33

Barbullushi, Erjola, Albana Kastrati, and Aurora Kinka. "Insolvency Pattern Trends in Albanian Enterprises: An in-depth Investigation." WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS 22 (May 2, 2025): 845–59. https://doi.org/10.37394/23207.2025.22.74.

Full text

Abstract:

Predicting bankruptcy has become a significant focus for researchers, especially during periods of economic instability such as the COVID-19 pandemic and the ongoing Russian-Ukrainian conflict. Early detection of financial distress enables stakeholders to make more informed decisions, minimizing the adverse effects of business failures. In Albania, studies on bankruptcy prediction are scarce, particularly for economic entities such as limited liability companies and joint-stock companies, which dominate the market. This paper aims to develop a bankruptcy prediction model tailored to the Albani

APA, Harvard, Vancouver, ISO, and other styles

34

Teoh Yeong Kin, Akmal Haziq Ahmad Aizam, Suzanawati Abu Hasan, Anas Fathul Ariffin, and Norpah Mahat. "Bankruptcy Prediction Model with Risk Factors using Fuzzy Logic Approach." Journal of Computing Research and Innovation 6, no. 2 (2021): 102–10. http://dx.doi.org/10.24191/jcrinn.v6i2.220.

Full text

Abstract:

Forecasting bankruptcy remains crucial, especially during this pandemic. Managers, financial institutions, and government agencies rely on the information regarding an impending bankruptcy threat to make decisions. This paper developed a straightforward bankruptcy prediction model using the fuzzy logic approach for individuals and companies to evaluate their performance and analyse the tendency of getting bankrupt. A sample of 250 respondents from banks and financial firms were tested using the qualitative risk factors, namely, industrial risk, management risk, financial flexibility, credibili

APA, Harvard, Vancouver, ISO, and other styles

35

Dian Dwi Sahniar, Tatas Ridho Nugroho, Nurdiana Fitri Isnaini, and Imam Baidlowi. "Analisis Laporan Keuangan Untuk Memprediksi Tingkat Kebangkrutan Dengan Menggunakan Model Altman Z- Score, Grover dan Zmijewski." Jurnal Mutiara Ilmu Akuntansi 1, no. 4 (2023): 119–30. http://dx.doi.org/10.55606/jumia.v1i4.1998.

Full text

Abstract:

This study aims to analyze financial statements to determine the potential for bankruptcy in companies in the transportation and logistics sector using the Altman Z-score, Grover and Zmijewski methods. The research used is quantitative with a descriptive approach. The population used is 28 companies in the transportation and logistics sector. The sample used in this research was 15 companies using purposive sampling technique in taking the sample. Statistical analysis in this study uses the calculation of the company's financial ratios from each bankruptcy method. The data used is secondary da

APA, Harvard, Vancouver, ISO, and other styles

36

S, Anandasayanan, and Subramaniam V.A. "PREDICTING BANKRUPTCY OF SELECTED MANUFACTURING COMPANIES LISTED IN COLOMBO STOCK EXCHANGE: APPLYING ALTMAN’S Z-SCORE." International Journal of Research -GRANTHAALAYAH 5, no. 2 (2017): 313–21. http://dx.doi.org/10.29121/granthaalayah.v5.i2.2017.1743.

Full text

Abstract:

Bankruptcy is the legal status for an individual or company incapable to pay off outstanding debt. Predication of Bankruptcy is critical task. Early stage of identification of likelihood of solvency may avoid evils in the near future & may shelter the firm from Bankruptcy situation. Bankruptcy of organizations can be predicated by using Altman’s Z-Score Model. This study tries to apply the model to understand the likelihood of Bankruptcy of selected listed manufacturing firms for past 5 years from 2010 to 2014 which are listed in Colombo Stock Exchange. The study reveals that four companie

APA, Harvard, Vancouver, ISO, and other styles

37

Kurnia, Rahmat, Lucky Nugroho, and Anees Janee Ali. "Signaling theory vis a vis bankruptcy prediction model in islamic bank industry in Indonesia." AiBi Revista de Investigación, Administración e Ingeniería 12, no. 1 (2024): 194–202. https://doi.org/10.15649/2346030x.3788.

Full text

Abstract:

This study aims to analyze the difference in the results of bankruptcy predictions in Islamic banking in Indonesia with the research period of 2018-2022. This study uses a quantitative approach, with a sample number of 11 Islamic banking companies. The bankruptcy prediction results compared in this study include Zmijewski, Grover, and Altman Z-Score Modified. Furthermore, the results of this study show that the three calculation models have differences in predicting the bankruptcy of Islamic banks. (1) The Zmijewski model analyzes five samples to be on the criteria of potentially bankrupt and

APA, Harvard, Vancouver, ISO, and other styles

38

Kuběnka, Michal, Jan Čapek, and František Sejkora. "A NEW LOOK AT BANKRUPTCY MODELS." E+M Ekonomie a Management 24, no. 3 (2021): 167–85. http://dx.doi.org/10.15240/tul/001/2021-3-010.

Full text

Abstract:

New models for bankruptcy prediction are constantly being formulated and tested against the current ones and current ones are tested to assess their current accuracy and to allow users to determine the reliability of the results when using the model. These models use accounting information as input data. Accounting systems, for example, US GAAP, or IFRS, contain rules that may be applied differently from one company to another without being breached. This leads to input data uncertainty. Likewise, uncertainties may arise due to errors in recording and transcribing input data or in translating

APA, Harvard, Vancouver, ISO, and other styles

39

Lawrence, Judy Ramage, Surapol Pongsatat, and Howard Lawrence. "The Use Of Ohlson's O-Score For Bankruptcy Prediction In Thailand." Journal of Applied Business Research (JABR) 31, no. 6 (2015): 2069. http://dx.doi.org/10.19030/jabr.v31i6.9468.

Full text

Abstract:

Business failure is a major concern to all parties involved and can create high costs and heavy losses. If bankruptcy can be predicted with reasonable accuracy ahead of time, firms can better protect their businesses and can take action to minimize risk and loss of business, and perhaps even prevent the bankruptcy itself. Bankruptcy prediction in thailand is important because business in thailand has historically operated on a system of trust where one person doing business trusts the other to perform as agreed upon in written and oral contracts. The threat of bankruptcy tends to diminish that

APA, Harvard, Vancouver, ISO, and other styles

40

Budiwati, Hesti, and Ainun Jariah. "Asset Quality as a Predictor of Rural Bank Bankruptcy in Indonesia." Jurnal Ilmu Manajemen Advantage 4, no. 1 (2021): 44–45. http://dx.doi.org/10.30741/adv.v4i1.612.

Full text

Abstract:

The study aims to form a bankruptcy prediction model of rural bank in Indonesia at a time variation of 1 quarter (MP1), 2 quarters (MP2), 4 quarters (MP4), and 8 quarters (MP8) before bankruptcy. The quality of productive assets as a predictor variable consist of CEA, CEAEA, and NPL. The condition of rural bank bankrupt and non bankrupt as a dependent variable. The analytical method used is logistic regression followed by testing the model accuration. The population of this study is rural bank in Indonesia. The sample used was 241 rural banks that consist of 41 bankrupt rural banks and 200 non

APA, Harvard, Vancouver, ISO, and other styles

41

Marsenne, Maureen, Tubagus Ismail, Muhamad Taqi, and Imam Abu Hanifah. "Financial distress predictions with Altman, Springate, Zmijewski, Taffler and Grover models." Decision Science Letters 13, no. 1 (2024): 181–90. http://dx.doi.org/10.5267/j.dsl.2023.10.002.

Full text

Abstract:

Several models have been developed to predict financial difficulties and corporate bankruptcy. In this research various models were employed, including the Altman model (referred to as the Z-Score), the Springate model (known as the S-Score), the Zmijewski model (designated as the X-Score), and the Grover model (referred to as the G-Score). These techniques serve the purpose of evaluating the likelihood of encountering financial difficulties, which in turn determines the probability of PT Garuda Indonesia (Persero) Tbk going bankrupt. The study utilized secondary data sourced from financial st

APA, Harvard, Vancouver, ISO, and other styles

42

Dewi, Erwita. "PREDIKSI TINGKAT KEBANGKRUTAN PERUSAHAAN PERTAMBANGAN BATU BARA YANG TERDAFTAR Di BURSA EFEK INDONESIA TAHUN 2014-2015." Jurnal Sains Sosio Humaniora 1, no. 2 (2017): 156–73. http://dx.doi.org/10.22437/jssh.v1i2.4298.

Full text

Abstract:

This study aims to determine the financial statements prior to the bankruptcy can be used to predict the rate of bankruptcy with Altman Model and Foster on coal mining company listed on the Indonesia Stock Exchange. Model classification Altman Z score Z score> 2.90 is classified as a healthy company, while the company has a Z score <1.20 were classified as potentially bankrupt company. Furthermore, scores between 1.20 to 2.90 is classified as a company in the gray area or the gray area. While the Model Z score Foster use the "Cut-off Point" Z = 0.640, so companies that have Z < 0.640

APA, Harvard, Vancouver, ISO, and other styles

43

DEWI, ERWITA. "PREDIKSI TINGKAT KEBANGKRUTAN PERUSAHAAN PERTAMBANGAN BATU BARA YANG TERDAFTAR DI BURSA EFEK INDONESIA TAHUN 2014-2015 (DENGAN METODE Z-SCORE ALTMAN DAN Z-SCORE FOSTER)." Jurnal Manajemen Terapan dan Keuangan 6, no. 1 (2017): 1–22. http://dx.doi.org/10.22437/jmk.v6i1.3790.

Full text

Abstract:

This study aims to determine the financial statements prior to the bankruptcy can be used to predict the rate of bankruptcy with Altman Model and Foster on coal mining company listed on the Indonesia Stock Exchange. Model classification Altman Z score Z score> 2.90 is classified as a healthy company, while the company has a Z score <1.20 were classified as potentially bankrupt company. Furthermore, scores between 1.20 to 2.90 is classified as a company in the gray area or the gray area. While the Model Z score Foster use the "Cut-off Point" Z = 0.640, so companies that have Z <0.640 b

APA, Harvard, Vancouver, ISO, and other styles

44

Sartika, Umi. "ANALISIS PREDIKSI KEBANGKRUTAN DENGAN MENGGUNAKAN MODEL ALTMAN Z SCORE PADA PERUSAHAAN BUMN YANG TERDAFTAR DI BURSA EFEK INDONESIA." BALANCE Jurnal Akuntansi dan Bisnis 2, no. 1 (2018): 117. http://dx.doi.org/10.32502/jab.v2i1.1165.

Full text

Abstract:

ABSTRACTThe aim of this research is to test whether the altman model (z score) could be used to predict bankruptcy in the public companies in Indonesia Stock Exchange. Altman z score is one of the multivariate analysis-model which is useful to predict the company bankruptcy with the trusted accuracy level. This sample selection was done by purposive judgement sampling method. The sample used was 16 companies from all public company listed in the Indonesia Stock Exchange (IDX) periode 2012-2016. While the source of this research data was collected from the company financial reporting in Indones

APA, Harvard, Vancouver, ISO, and other styles

45

Bodle, Kerry Anne, Patti J. Cybinski, and Reza Monem. "Effect of IFRS adoption on financial reporting quality." Accounting Research Journal 29, no. 3 (2016): 292–312. http://dx.doi.org/10.1108/arj-03-2014-0029.

Full text

Abstract:

Purpose The purpose of this paper is to investigate whether International Financial Reporting Standards (IFRS)-based data improve bankruptcy prediction over Australian Generally Accepted Accounting Principles (AGAAP)-based data. In doing so, this paper focuses on intangibles because conservative accounting rules for intangibles under IFRS required managers to write off substantial amounts of intangibles previously capitalized and revalued upwards under AGAAP. The focus on intangibles is also motivated by empirical evidence that financially distressed firms are more likely to voluntarily capita

APA, Harvard, Vancouver, ISO, and other styles

46

Blazhevich, O., A. Karachun, and A. Suleymanova. "Comparative analysis and application of methods for predicting bankruptcy." Bulletin of Science and Practice, no. 5 (May 14, 2017): 161–75. https://doi.org/10.5281/zenodo.579745.

Full text

Abstract:

In article methods of forecasting of bankruptcy are considered, their classification, the characteristic, a design procedure is given, merits and demerits are resulted. On an example of data of the accounting reporting of the enterprise–bankrupt the probability of bankruptcy is certain by each of analyzed methods. The analysis of procedures is lead and the most precise models are revealed.

APA, Harvard, Vancouver, ISO, and other styles

47

Bondar, Ros Bunga, and Mochamad Kohar Mudzakar. "Bankruptcy Prediction Model." Jurnal Ekonomi, Bisnis & Entrepreneurship 17, no. 2 (2023): 279–95. https://doi.org/10.55208/fksmm983.

Full text

Abstract:

This study aims to assess the effectiveness of four prominent bankruptcy prediction models, namely Altman's Z-Score, Springate's S-Score, Zmijewski's X-Score, and Grove's G-Score, in forecasting financial distress among companies listed on the LQ 45 Stock Index. The research leverages financial data spanning a specified period to construct and evaluate the predictive capabilities of these models. By employing a sample of companies operating within the LQ 45 index, the study provides a comprehensive comparative analysis of the models' accuracy, sensitivity, and specificity in identifying firms

APA, Harvard, Vancouver, ISO, and other styles

48

Novita, Nova, Andi Salahudin Akbar, and Puti Dwi Handayani. "Analisis Kebangkrutan Bank Melalui Rentabilitas, Capital dan Bankometer: Studi Pada Bank Umum Indonesia dan Malaysia." Jurnal Ekonomi, Manajemen dan Perbankan (Journal of Economics, Management and Banking) 2, no. 1 (2018): 11. http://dx.doi.org/10.35384/jemp.v2i1.63.

Full text

Abstract:

This study aimed to analyze the accuracy of the two component of RBBR model as model of evaluation for the bank’s health with Bankometer as bankruptcy prediction model. The sample used is public bank in Indonesia and Malaysia from year 2011 to 2014. Data is processed by using a fixed effect model. In this research is measured by rentanility and capital, while S-Score is used to measure Bankometer. The results of this study indicate that the Bankometer model can be use in bankruptcy predicting. This study finds that only liquidity, credit and capital have impact to the bankruptcy. Bankometer ca

APA, Harvard, Vancouver, ISO, and other styles

49

Shubhan, M. Hadi, Indrawati, and Dri Utari CR. "LEGAL RESTRICTION OF BANKRUPTCY OF STATE-OWNED ENTERPRISE (SEO) AND SUSTAINABILITY: THE CASE OF INDONESIA." Humanities & Social Sciences Reviews 8, no. 1 (2020): 674–81. http://dx.doi.org/10.18510/hssr.2020.8181.

Full text

Abstract:

Purpose of Study: This research examines the possibility of state-owned enterprises being nailed in the legal system in Indonesia. According to the bankruptcy regulation in Indonesia, those who are unable to pay debts can be declared bankrupt by the creditors, including SOEs. However, other regulations state that the government’s assets (including those within SOEs) cannot be confiscated, including within bankruptcy confiscation. Methodology: The research method used in this study is qualitative research using the type of doctrinal law research. The approach used is to use the statutory

APA, Harvard, Vancouver, ISO, and other styles

50

Moradi, Ali Mosayeb, and Neda Ahmad Khan Beigi. "Strategic management of organizational resources using predicting the organization's bankruptcy level: New approach using Monte Carlo Simulation." Annals of Management and Organization Research 2, no. 2 (2020): 113–27. http://dx.doi.org/10.35912/amor.v2i2.615.

Full text

Abstract:

Abstract Purpose: There are several methods to predict organization bankruptcy; each of them has different accuracy. Another considerable note in investigating organization bankruptcy is the data considered for the study. The goal of this study is to determine which model is the most accurate in predicting organization bankruptcy. Research methodology: In this study, the initial data were used to compare predicting Monte Carlo processes that simulate bankruptcy models to compare models and results more accurately. Simulated data coefficient modification of Mckee, CA-SCORE, Springate, Zmijewski

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!