Relevant bibliographies by topics / Model of bankruptcy

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Model of bankruptcy'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Model of bankruptcy"

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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.

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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
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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.

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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
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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.

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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
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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.

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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.
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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.

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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
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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.

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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
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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.

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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
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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.

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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
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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.

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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
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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.

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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
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Dissertations / Theses on the topic "Model of bankruptcy"

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Charraud, Jocelyn, and Saez Adrian Garcia. "Bankruptcy prediction models on Swedish companies." Thesis, Umeå universitet, Företagsekonomi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-185143.

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Bankruptcies have been a sensitive topic all around the world for over 50 years. From their research, the authors have found that only a few bankruptcy studies have been conducted in Sweden and even less on the topic of bankruptcy prediction models. This thesis investigates the performance of the Altman, Ohlson and Zmijewski bankruptcy prediction models. This research investigates all Swedish companies during the years 2017 and 2018.  This study has the intention to shed light on some of the most famous bankruptcy prediction models. It is interesting to explore the predictive abilities and usa
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Seidu, Mohammed Nazib. "Predicting Bankruptcy Risk: A Gaussian Process Classifciation Model." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-119120.

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This thesis develops a Gaussian processes model for bankruptcy risk classification and prediction in a Bayesian framework. Gaussian processes and linear logistic models are discriminative methods used for classification and prediction purposes. The Gaussian processes model is a much more flexible model than the linear logistic model with smoothness encoded in the kernel with the potential to improve the modeling of the highly nonlinear relationships between accounting ratios and bankruptcy risk. We compare the linear logistic regression with the Gaussian process classification model in the con
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Manaweera, Wickramage Heshani Anjalie Manaweera. "Bankruptcy Model Application to Missouri River Water Allocation." Thesis, North Dakota State University, 2019. https://hdl.handle.net/10365/31733.

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Growing demand for water and improper resource management over the years have led conflicts among states and countries. This research applies cooperative game theory. The bankruptcy model, where claims for resources exceed their total availability, was applied to Missouri River water allocation during dry years. In this study, five allocation rules were applied. These include Proportional, Constrained Equal Award, Sequential Sharing Rules based Proportional, Mianabadi’s methodology, and a proposed Modified Constrained Equal Award rule in allocating Missouri River water among two agents where t
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Gega, Ilda <1995&gt. "Bankruptcy Analise of Italian Startups: Altman Z - Score Model." Master's Degree Thesis, Università Ca' Foscari Venezia, 2022. http://hdl.handle.net/10579/21660.

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The Altman Z-score model has been used to predict the bankruptcy of a company since the late 1960s. The formula, developed by Edward I. Altman, was used in this dissertation to speculate the financial distress of companies, using as a sample a certain number of Italian startups. Since the formula has been adapted over the years to different types of companies, this thesis uses the formula for privately owned companies, also called Z'. In essence, the coefficients have different values and in this model the variable X4 with the market value of equity has been replaced by the book value of equit
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Baker, Matthew. "The Impact of Bankruptcy Exemptions for Retirement Assets." Thesis, Virginia Tech, 2013. http://hdl.handle.net/10919/22080.

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When filing for personal bankruptcy, an individual can, in almost all cases, claim an exemption for retirement assets.  Using the Survey of Consumer Finances from 2007 and 2010, we test the theory that highly educated or financially sophisticated households allocate more resources to retirement assets under conditions of higher probability of filing for personal bankruptcy.  This hypothesis stems from the concept of asset sheltering, in which an individual will demonstrate a preference for assets that are exempt from a particular risk. To address our hypothesis, we run a Heckman model on th
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Burdych, Filip. "Modelování predikce bankrotu stavebních podniků." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2017. http://www.nusl.cz/ntk/nusl-319227.

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This master thesis deals with bankruptcy prediction models for construction companies doing business in Czech Republic. Terms important for understanding the issue are defined in the theoretical part. In analytical part, there are five current bankruptcy prediction models tested on the analysed sample and resulted accuracy compared with original ones. On the basis of knowledges acquired, there is developed a brand-new bankruptcy prediction model.
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Egilmezer, Sapci Nurdan. "Organizational Decline And Bankruptcy Prediction Model For The Turkish Construction Companies." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608529/index.pdf.

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Within the scope of this research, factors contributing to the decline and failure in the Turkish construction industry are examined by the aid of a broad literature review and a Delphi Study conducted among respondents selected to be civil engineers who experienced organizational decline and/or bankruptcy throughout their professional lives. Based on the identified factors and their interrelations, Analytical Network Process (ANP) is used to quantify the relative importance of these factors on &ldquo<br>Organizational Decline/Bankruptcy of the Turkish Construction Companies&rdquo<br>. Organiz
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CABRERA, GUSTAVO ADOLFO SORENSEN. "A NEURAL MODEL FOR PREDICTION OF BANKRUPTCY IN THE FINANCIAL SYSTEM." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 1998. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=7493@1.

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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>Esta dissertação investiga a utilização de Redes Neurais, especificamente o modelo conhecido como Mapa Auto- Organizável de Kohonen, na previsão de insolvência no sistema finaneiro. Para o desenvolvimento deste trabalho foram utilizados inicialmente indicadores financeiros trimestrais de 32 Bancos e 53 Financeiras do Paraguai no período compreendido entre dezembro de 1996 e dezembro de 1997. Como parâmetro de comparação foram utilizados os resultados fornecidos pelo sistema de qualificação denominado CAULA, empregado pela
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Kratochvilová, Monika. "Model predikce bankrotu." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2020. http://www.nusl.cz/ntk/nusl-417377.

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This diploma thesis is focused on the evaluation of the efficiency of selected bankruptcy models in the Czech Republic. In the theoretical part the basic terminology and methodology of bankruptcy models creation are introduced. In addition are mentioned, model constraints, an overview of the indicators used, and information about model accuracy. This part also presents analyzed models and methods of assessing the reliability of bankruptcy models. In the practical part, the reliability of selected bankruptcy models is evaluated and a new bankruptcy model is built.
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PEREIRA, ORLANDO MANSUR T. S. A. "THE E SCORE MODEL FOR THE PREDICTION OF BANKRUPTCY OF INTERNET COMPANIES." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2002. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=3327@1.

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O objetivo desta pesquisa é propor um modelo estatístico que possa estimar a probabilidade de ocorrência de falências ou concordatas em empresas de Internet. Após as recentes e drásticas perdas de capital em investimentos nas empresas desta nova indústria, instituições financeiras, pessoas físicas e todos os investidores desejam ter o conhecimento da real situação financeira das empresas denominadas pontocom. Esta pesquisa selecionou empresas norte-americanas que pediram falência ou concordata nas Cortes Norte-Americanas de Falências,entre 1999 e 2001, e empresas que não o fizeram, por amostr
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Books on the topic "Model of bankruptcy"

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Alan, Fox. A comparison of the Zeta model to a failure prediction model incorporating the effects of recession and stress related factors. University College Dublin, Graduate School of Business, 1998.

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United Nations Commission on International Trade Law, ed. UNCITRAL model law on cross-border insolvency, with guide to enactment. United Nations, 1999.

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Aiyar, S. K. Law of provincial insolvency: Being commentaries on the Provincial Insolvency Act and Presidency Towns Insolvency Act, with model forms in insolvency proceedings. 5th ed. University Book Agency, 1988.

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Commission, South African Law. Interim report on review of the law of insolvency: The enactment in South Africa of UNCITRAL's Model Law on Cross-Border Insolvency. The Commission, 1999.

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United Nations. Commission on international trade law. UNCITRAL model law on recognition and enforcement of insolvency-related judgments with guide to enactment. United Nations, 2019.

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Lustig, Hanno. The market price of aggregate risk and the wealth distribution. National Bureau of Economic Research, 2005.

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New Zealand. Law Commission. Cross-border insolvency: Should New Zealand adopt the UNCITRAL model law on cross-border insolvency? The Commission, 1999.

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Look, Chan Ho. Cross border insolvency: A commentary on the UNCITRAL model law. 3rd ed. Globe Law and Business, 2012.

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Look, Chan Ho. Cross-border insolvency: A commentary on the UNCITRAL model law. 2nd ed. Edited by United Nations Commission on International Trade Law. Globe Law and Business, 2009.

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1950-, Feidler Robert E., and International Insolvency Institute, eds. Romania, the insolvency system: Overview of the Romanian insolvency system, summary overview in Romanian, comparative analysis with the U.S. law, harmonization with international model laws, appendices. International Insolvency Institute, 1999.

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Book chapters on the topic "Model of bankruptcy"

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Steiger, Eva-Maria. "The Model." In Personal Bankruptcy Law. Deutscher Universitätsverlag, 2005. http://dx.doi.org/10.1007/978-3-322-81965-9_3.

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Mota, Carlos, Adalmiro Pereira, Angela Vaz, and António Vieira. "Bankruptcy Prediction Model in Portuguese SMEs." In Advances in Tourism, Technology and Systems. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1040-1_42.

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Hirokawa, Sachio, Takahiro Baba, and Tetsuya Nakatoh. "Search and Analysis of Bankruptcy Cause by Classification Network." In Model and Data Engineering. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24443-8_17.

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Taksar, M. I. "Infinite-Horizon Investment Consumption Model with a Nonterminal Bankruptcy." In Optimal Consumption and Investment with Bankruptcy. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6257-3_4.

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Merkevicius, Egidijus, Gintautas Garšva, and Stasys Girdzijauskas. "A Hybrid SOM-Altman Model for Bankruptcy Prediction." In Computational Science – ICCS 2006. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11758549_53.

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Sethi, Suresh P., and Michael Taksar. "A Note on Merton’s “Optimum Consumption and Portfolio Rules in a Continuous-Time Model”." In Optimal Consumption and Investment with Bankruptcy. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6257-3_3.

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Hedayatinia, Pooya, David Lemoine, Guillaume Massonnet, and Jean-Laurent Viviani. "Put Option Contracts in Newsvendor Model with Bankruptcy Risk." In Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85906-0_19.

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Koval, Maria, Neli Abramishvili, Nadezhda Lvova, and Alexander Kazansky. "Building a Bankruptcy Prediction Model for Chemical Industry Companies." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-87532-8_29.

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Putra, M. N. F., and Z. A. Husodo. "Bankruptcy prediction model for public companies in Indonesia stock exchange." In Sustainable Future: Trends, Strategies and Development. Routledge, 2022. http://dx.doi.org/10.1201/9781003335832-68.

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Meisa Putri, Amanda, and Imo Gandakusuma. "Bankruptcy prediction of manufacturing companies using Altman and Ohlson model." In Business Innovation and Development in Emerging Economies. CRC Press, 2019. http://dx.doi.org/10.1201/9780429433382-10.

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Conference papers on the topic "Model of bankruptcy"

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Chaikovska, Inna, Pavlo Hryhoruk, Nila Khrushch, Svitlana Grygoruk, Taras Tkach, and Maksym Chaikovskyi. "Fuzzy Model for Complex Assessment of the Risk of Enterprise Bankruptcy." In 2024 14th International Conference on Advanced Computer Information Technologies (ACIT). IEEE, 2024. http://dx.doi.org/10.1109/acit62333.2024.10712555.

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Huang, Ziyue. "Evaluating Hybrid Machine Learning Models Bankruptcy Prediction." In 2025 7th International Symposium on Computational and Business Intelligence (ISCBI). IEEE, 2025. https://doi.org/10.1109/iscbi64586.2025.11015371.

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Li, Ling, and Feiqi Deng. "A Bankruptcy Liquidation Model." In 2006 6th International Conference on Intelligent Systems Design and Applications. IEEE, 2006. http://dx.doi.org/10.1109/isda.2006.16.

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Odom, M. D., and R. Sharda. "A neural network model for bankruptcy prediction." In 1990 IJCNN International Joint Conference on Neural Networks. IEEE, 1990. http://dx.doi.org/10.1109/ijcnn.1990.137710.

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Khemka, Devanshu, Ranjeesh Kaippada, Parasu Sai Nikhil, and Suseela S. "Machine Learning based efficient Bankruptcy Prediction Model." In 2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE). IEEE, 2023. http://dx.doi.org/10.1109/rmkmate59243.2023.10368978.

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Joshi, Shreya, Rachana Ramesh, and Shagufta Tahsildar. "A Bankruptcy Prediction Model Using Random Forest." In 2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS). IEEE, 2018. http://dx.doi.org/10.1109/iccons.2018.8663128.

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Sponerova, Martina. "FINANCIAL DISTRESS PREDICTION FOR MANUFACTURING AND COMMERCIAL COMPANIES." In NORDSCI Conference Proceedings. Saima Consult Ltd, 2021. http://dx.doi.org/10.32008/nordsci2021/b2/v4/18.

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"A large number of studies on bankruptcy prediction are published every year. The topic of SME failure prediction has evolved over the past decades into a relevant research area that has grown exponentially across many disciplines, including finance and management, for obvious reasons. This has been motivated by the massive toll on SMEs caused by the global crisis of 2007-2009, the recent COVID-19 crisis and the resulting need to update indicators of SME failure. Many authors during the last fifty years have examined several possibilities to predict business failure. They have studied bankrupt
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Sai, Ying, Chenjian Zhong, and Lehong Qu. "A Hybrid GA-BP Model for Bankruptcy Prediction." In 2007 International Symposium on Autonomous Decentralized Systems. IEEE, 2007. http://dx.doi.org/10.1109/isads.2007.3.

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Bartulović, Željko, and Dejan Bodul. "POLOŽAJ RAZLUČNIH VJEROVNIKA U POSTUPKU STEČAJA POTROŠAČA." In 14 Majsko savetovanje. University of Kragujevac, Faculty of Law, 2018. http://dx.doi.org/10.46793/xivmajsko.835b.

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Croatia has a long legal tradition of bankruptcy proceedings over the assets of natural persons. Hence, from a historical perspective, such institute is not terra incognita in Croatian legislation. Nevertheless, only at 1 January 2016, in the legal order of the Republic of Croatia, along with the "classic" bankruptcy proceedings (pre-litigation procedure, liquidation bankruptcy proceedings, bankruptcy, personal bankruptcy, international bankruptcy, bankruptcy proceedings of the debtor's debtor, automatic bankruptcy, shortened bankruptcy proceedings a bankruptcy procedure of small value) the le
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Šaina, Rea. "Comparative Analysis of the Personal Bankruptcy Model and Their Effects in the Legal Orders in Slovenia and Croatia." In 37th Bled eConference. University of Maribor Press, 2024. http://dx.doi.org/10.18690/um.fov.4.2024.54.

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Personal bankruptcy is a procedure in which a natural person who is over-indebted or insolvent is helped by paying off the debts with his or her own assets. It is an institution that is changing and is increasingly being used by people in situations of over-indebtedness. In practice, it has become popular because debtors seek to obtain a discharge of their liabilities by concealing their assets, thereby failing to achieve the essential objective of personal insolvency - the equal and simultaneous repayment of creditors. The following analysis focuses on the differences and similarities between
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Reports on the topic "Model of bankruptcy"

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Legal, Diego, and Eric R. Young. Consumer Bankruptcy and Unemployment Insurance. Federal Reserve Bank of Cleveland, 2024. http://dx.doi.org/10.26509/frbc-wp-202409.

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We quantitatively evaluate the effects of UI on bankruptcy in an equilibrium model of labor market search and defaultable debt. First, we ask whether a standard unsecured credit model extended with labor market search and matching frictions can account for the negative correlation between UI caps and bankruptcy rates observed in the data. The model can account for this fact only if estimated with the employment rate among bankruptcy filers as a target. Not matching this employment rate underestimates the consumption smoothing benefits of UI cap increases, as the model assigns too much importan
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Sánchez, Juan M., Eric R. Young, Xuan S. Tam, and Kartik Athreya. Bankruptcy and Delinquency in a Model of Unsecured Debt. Federal Reserve Bank of St. Louis, 2012. http://dx.doi.org/10.20955/wp.2012.042.

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Rud, Juan Pablo. Bankruptcy Choice with Endogenous Financial Constraints. Inter-American Development Bank, 2017. http://dx.doi.org/10.18235/0011802.

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In this paper we study firm dynamics and industry equilibrium when firms under financial distress face a non-trivial choice between alternative bankruptcy procedures. Given limited commitment and asymmetric information, financial contracts specify default, renegotiation and reorganization policies. Renegotiation entails a redistribution of social surplus, while reorganization takes the form of enhanced creditor monitoring. Firms with better contract histories are less likely to default, but, contingent on default, firms with better outside options successfully renegotiate, in line with the emp
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Blanco, Roberto, Elena Fernández, Miguel García-Posada, and Sergio Mayordomo. An estimation of the default probabilities of Spanish non-financial corporations and their application to evaluate public policies. Banco de España, 2023. http://dx.doi.org/10.53479/33512.

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We model the one-year ahead probability for default of Spanish non-financial corporations using data for the period 1996-2019. While most previous literature considers that a firm is in default if it files for bankruptcy, we define default as having non-performing loans during at least three months of a given year. This broader definition allows us to predict firms’ financial distress at an earlier stage that cannot generally be observed by researchers, before their financial conditions become too severe and they have to file for bankruptcy or engage in private workouts with their creditors. W
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Micco, Alejandro, and Arturo Galindo. Bank Credit to Small and Medium-Sized Enterprises: The Role of Creditor Protection. Inter-American Development Bank, 2005. http://dx.doi.org/10.18235/0010766.

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This paper develops a model showing that inefficient legal protections disproportionately increase financial restrictions for creditors that have less wealth. Due to fixed monitoring costs in equilibrium, banks will not monitor small firms, and therefore these firms will adopt risky technologies that imply a higher probability of bankruptcy. This implies that inefficiencies in the bankruptcy procedure will have a greater effect on small firms vis-à-vis large ones. Using a survey of firms in 62 countries around the world (WBES) and econometric techniques that allow us to deal with observed and
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Tubb, Catherine, and Tony Seba. Rethinking Food and Agriculture 2020-2030: The Second Domestication of Plants and Animals, the Disruption of the Cow, and the Collapse of Industrial Livestock Farming. RethinkX, 2019. http://dx.doi.org/10.61322/ijip9096.

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By 2030, the number of cows in the U.S. will have fallen by 50% and the cattle farming industry will be all but bankrupt. All other livestock industries will suffer a similar fate, while the knock-on effects for crop farmers and businesses throughout the value chain will be severe. Rethinking Food and Agriculture shows how the modern food disruption, made possible by rapid advances in precision biology and an entirely new model of production we call Food-as-Software, will have profound implications not just for the industrial agriculture industry, but for the wider economy, society, and the en
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