Relevant bibliographies by topics / Bankruptcy factors

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  2. Dissertations / Theses
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Academic literature on the topic 'Bankruptcy factors'

Author: Grafiati
Published: 4 June 2021
Last updated: 29 May 2022

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Journal articles on the topic "Bankruptcy factors"

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Vinnikova, Irina. "Assessment of factors that affect the bankruptcy of an organization." Scientific notes of the Russian academy of entrepreneurship 19, no. 1 (March 25, 2020): 57–71. http://dx.doi.org/10.24182/2073-6258-2020-19-1-57-71.

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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 companies that want to assess their financial situation.
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Korol, Tomasz. "Evaluation of the factors influencing business bankruptcy risk in Poland." e-Finanse 13, no. 2 (December 1, 2017): 22–35. http://dx.doi.org/10.1515/fiqf-2016-0020.

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AbstractThis article is devoted to the issue of assessing the causes of business failure. The presented studies answer two research questions – what are the causes of corporate bankruptcies in Poland and how to more effectively predict the scale of bankruptcies in the country. The author has conducted a study to analyze the specific endogenous and exogenous causes of company bankruptcy depending on the type of the bankruptcy with consideration of the three different phases of the crisis in enterprises. The research is based on 185 companies (60 bankrupt and 125 non-bankrupt firms) listed on the Warsaw Stock Exchange. For each company the author has calculated 14 different financial ratios for each of the six years before classifying the firm as bankrupt or non-bankrupt.The author has also done research to identify specific macroeconomic variables affecting the bankruptcy process of the companies in Poland. This provided specification of the manner and how strongly the various factors affect the quantity and intensity of bankruptcy applications in this region of Europe. Additionally, with the use of selected macroeconomic variables the author programmed a fuzzy logic model to forecast the general intensity of bankruptcies in Poland. This study is the first attempt at using fuzzy logic to predict the risk of bankruptcy in a macro aspect. The results demonstrate the great potential of this method. The received effectiveness of the fuzzy logic model is at the level of 84%.
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Sulistyowati, Retno. "The Position of Legal Protection for Debtors for Bankruptcy Conducted by Separatist Creditors in terms of Act No. 4 of 1996 concerning Mortgage Rights." Sultan Agung Notary Law Review 2, no. 4 (December 30, 2020): 450. http://dx.doi.org/10.30659/sanlar.2.4.450-458.

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The purpose of this research is to know and analyze; 1). The current implementation of debtor legal protection for bankruptcy is carried out by separatist creditors. 2) Factors that influence the implementation of debtor's legal protection for bankruptcy carried out by separatist creditors. 3) The proper implementation of debtor legal protection for bankruptcy by separatist creditors. This study uses a normative juridical research method, using a statutory approach and a conceptual approach. This type of research is descriptive analytical. The data collection technique is the literature study of this thesis. The data analysis method is descriptive qualitative analytical. The results show that: 1. The implementation of the Bankruptcy Law has not provided protection to debtors, because: The requirements for requesting a bankruptcy statement make it easier for the debtor to be declared bankrupt, even though the debtor is actually in a solvent condition; The PKPU mechanism has not provided broad opportunities for debtors to improve company performance; and Efforts in bankruptcy are dominated by the authority of creditors. 2. Factors that influence the implementation of debtor's legal protection against bankruptcy carried out by separative creditors are: There are no funds for the costs of managing and settling bankruptcy assets; Bankrupt Debtor is not cooperative; and The debtor sells/transfers his assets before being declared bankrupt. 3. The Bankruptcy Law in future requires an insolvency test. This is based on reasons to prevent debtors whose assets are more than their debts being declared bankrupt by the court.
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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 (September 1, 2021): 102–10. http://dx.doi.org/10.24191/jcrinn.v6i2.220.

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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, credibility, competitiveness, and operational risk. This study provides a comprehensive analysis using the Fuzzy Inference System (FIS) editor in the MATLAB software, where the model's accuracy is compared to the actual results. The results show an accuracy rate of 99.20%, indicating that this approach can determine the likelihood of bankruptcy. The fuzzy logic approach can improve prediction accuracy while also guiding decision-makers in detecting and preventing possible financial crises in their early phases.
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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 (October 31, 2021): 23–31. http://dx.doi.org/10.18089/tms.2021.170402.

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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 developed their activity in three tourism industry sectors (hotels, restaurants, and travel agencies) in the period 2017-2019 has been used. This sample includes bankrupt and non-bankrupt corporations and has allowed the comparison between a global model and various focused models applying artificial neural network techniques. The results have confirmed the superiority of the global model and provide different sample selection and cost minimisation solutions for bankruptcy prediction modelling in the tourism industry
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Lobeev, Ivan. "Bankruptcy Prediction for Innovative Companies." Journal of Corporate Finance Research / Корпоративные Финансы | ISSN: 2073-0438 15, no. 4 (December 5, 2021): 36–55. http://dx.doi.org/10.17323/j.jcfr.2073-0438.15.4.2021.36-55.

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The main purpose of this article is to identify the best neural network model algorithm and relevant set of variables for predicting financial distress/bankruptcy in innovative companies. While previous articles in this area considered neural network analysis for large companies from primary sectors of the economy, we take the novel approach of examining theless-explored area of innovative companies. First, we complete a comprehensive review of the relevant literature in order to define the best configuration of factors which can influence bankruptcy, network architecture and learning methodology. We apply our chosen method to a sample of companies from around the world, from industries which are considered innovative, and identify the dependence of bankruptcy probability on a set of factors which are reflected in the financial data of a company. Our evaluation is based on the financial data of 300 companies – 50 of them are bankrupts, and 250 are ‘healthy’. Our results represent the set of relevant factors for bankruptcy prediction and the appropriate neural network. We have applied a total of 19 factors characterising efficiency, liquidity, profitability, sustainability, and level of innovation. Our proposed analysis is appropriate for all sizes of companies. We provided two models in order to cater for the most confidence in terms of obtained results. The total predictive ability of the model developed in our research is almost 98%, which is extremely efficient, and corresponds to the results of the most modern methods. Both approaches demonstrated almost the same level of influence of factor groups on final bankruptcy probability.
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Rico, Manuel, Santiago Cantarero, and Francisco Puig. "Regional Disparities and Spatial Dependence of Bankruptcy in Spain." Mathematics 9, no. 9 (April 25, 2021): 960. http://dx.doi.org/10.3390/math9090960.

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Firm survival, bankruptcy, and turnaround are of great interest nowadays. Bankruptcy is the ultimate resource for a company to survive when it is affected by a severe decline. Thus, determinants of firm turnaround and survival in the context of bankruptcy are of interest to researchers, managers, and policy-makers. Prior turnaround literature has broadly studied firm-specific factors for turnaround success. However, location-specific factors remain relatively unstudied despite their increasing relevance. Thus, this paper aims to evaluate the existence of spatial dependence on the outcome of the bankruptcy procedure. Economic geography and business literature suggest that location matters and closer companies behave similarly to further ones. For this purpose, we designed a longitudinal analysis employing spatial correlation techniques. The analyses were conducted on a sample of 862 Spanish bankrupt firms (2004–2017) at a regional level (province). For overcoming the limitations of the broadly usually logistic model employed for the turnaround context, the Moran’s Index and the Local Association Index (LISA) were applied with gvSIG and GeoDa software. The empirical results show that the predictors GDP per capita and manufacturing specialization are related to higher bankruptcy survival rates. Both characteristics tend to be present in the identified cluster of provinces with better outcomes located in the North of Spain. We suggest that location broadly impacts the likelihood of the survival of a bankrupt firm, which can condition the strategic decision of locating in one region or another. Our findings provide policy-makers, managers, and researchers with relevant contributions and future investigation lines.
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Patricia, Zoe, Suganthi R, Devinaga R, Yuen Yeen Yen, and Shalini . "Factors Affecting Bankruptcy in Malaysian Listed Companies." International Journal of Engineering & Technology 7, no. 3.21 (August 8, 2018): 139. http://dx.doi.org/10.14419/ijet.v7i3.21.17110.

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In a number of studies bankruptcy has been known to bring about the downfall and embarrassment of firms as well as destroying a lot of careers. On the other hand for bankruptcy of corporate institutions, factors such as accounting aspects that include, profitability, leverage as well as liquidity are mainly the core of this issue as mentioned by Boettcher, Cavanagh, and Xu (1). Nowadays corporate governance has been added into the mix. In order to support both affected and smoothly running firms, it is crucial for researchers to investigate all the aspects of the management of the firm as expressed in their annual reports. The methods focused on in this research includes the models such as, multicollinearity, polled least square model and finally the fixed effect model. The annual reports and indexes were used to get values in the measurements. This study found that corporate governance, firm size and profitability were not significant to the bankruptcy of the firm. However, Liquidity and leverage contributed to firm bankruptcy. In conclusion, this study is generally meant to explore the impact of different factors that probably contributed to bankruptcy among Malaysian firms.
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Sponerova, Martina, Miroslav Sponer, and Miroslav Svoboda. "Dependence of Company Size on Factors Influencing Bankruptcy." SHS Web of Conferences 92 (2021): 03028. http://dx.doi.org/10.1051/shsconf/20219203028.

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Research background: There is extensive empirical literature on default prediction methodologies. Many authors during the last fifty years have examined several possibilities to predict default or business failure. The reviews from the last years show that the closer the similarity of businesses, the greater accuracy of bankruptcy models. Purpose of the article: The aim of this article is finding if there exist different factors that could predict bankruptcy depending on the size of the company. Our motivation is to show if there exist differences when predicting bankruptcy according the size of the company. Methods: This paper focuses on the Czech economy, specifically at small and medium sized enterprises (SMEs). It is the ongoing research about the value of several popular bankruptcy models that are often applied, namely the Altman Z-score, the Ohlson O-score, the Zmijewski’s model, the Taffler’s model, and the IN05 model. We have used logistic regression and investigated around 2 800 companies, of which 642 failed during the period 2010 – 2017. Findings & Value added: Results of the analysis confirm research hypotheses that there exist different factors which could predict bankruptcy depending on the size of the company and exploit common used financial indicators to assess the probability of bankruptcy precisely. We have found that for the segment of micro-enterprises is necessary to pay attention to liquidity and profitability. Small enterprises emphasize to leverage, liquidity and profitability while the model developed for the segment of medium-sized enterprises measures most of all leverage, liquidity and activity.
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Cong Nguyen, Van, Thi Nga Nguyen, Thi Tu Oanh Le, and Trong Than Nguyen. "Determining the impact of financial performance factors on bankruptcy risk: an empirical study of listed real estate companies in Vietnam." Investment Management and Financial Innovations 16, no. 3 (October 7, 2019): 307–18. http://dx.doi.org/10.21511/imfi.16(3).2019.27.

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The risk of bankruptcy is affected by many different factors. Therefore, identifying the groups of factors affecting bankruptcy risks, especially financial performance factors, are important and necessary. The study focused on the impact of financial performance on the bankruptcy risk of real estate companies listed on Vietnam’s stock exchange. Research data were collected from 44 real estate companies listed on Vietnam’s stock exchange from 2011 to 2017 with 308 observations. The study was conducted by the quantitative method based on the logistic regression model with the help of SPSS 25 specialized software. The research results show that Return on Assets (ROA), Return on Equity (ROE) and Total Asset Turnover (TAT) have significant reverse effects on bankruptcy risk, while Operating Profit Margin (OPM) is not a relevant factor. The accuracy rate of the overall predictive model is 90.9%. This study extends the scope of literature on the impact of financial performance on the bankruptcy risk of real estate companies. Moreover, this study offers the model of bankruptcy risk prediction of the listed real estate companies in Vietnam and recommends effective solutions to improve business efficiency, limit and prevent financial risks for listed real estate companies in Vietnam.
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Dissertations / Theses on the topic "Bankruptcy factors"

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Tolkin, Jason. "Airline Bankruptcy: The Determining Factors Leading to an Airline's Decline." Scholarship @ Claremont, 2010. http://scholarship.claremont.edu/cmc_theses/88.

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The purpose of this study was to determine what the critical factors are to an airline’s financial turmoil, leading ultimately to a bankruptcy filing. Over the past decade, the airline industries’ performance has been dismal, leading to 20 bankruptcy filings. As competition increases, it is crucial for airlines to know which core business areas are essential to success. This paper identifies 8 specific industry metrics that are used to compare airlines, revealing where certain airlines falter and others shine. Some of these metrics are later applied to a case study examining Trans World Airlines (TWA) and American Airlines (AA), highlighting the factors leading to TWA’s bankruptcy filing during the same time period American Airlines remained profitable. The results show that the labor inefficiency, operating inefficiencies, unsuccessful fuel hedging programs, and high long-term debt are critical factors leading to an airlines bankruptcy. Four recommendations for airlines are provided, namely: 1.) The cross-utilization of employees, 2.) Maintain Cost Discipline, 3.) Focus on Breakeven Load Factor, and 4.) Do not neglect the intangibles such as brand reputation.
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Lagiewski, Richard M. "Factors contributing to airline insolvency /." Online version of thesis, 1993. http://hdl.handle.net/1850/11449.

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PAZOS, PRISCILLA VANESSA GUERRERO. "AN ANALYSIS OF BOOK-TO-MARKET, BANKRUPTCY RISK AND RETURN FACTORS IN THE STOCK BRAZILIAN MARKET." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2015. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=25830@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
PROGRAMA DE SUPORTE À PÓS-GRADUAÇÃO DE INSTS. DE ENSINO
O presente estudo analisa a relação entre as variáveis Book-to-Market, risco de falência e retornos no mercado acionário brasileiro para um total de 168 firmas da Bovespa no período de Julho 2009 até Junho 2014. Os resultados demonstram que na medida em que a probabilidade de falência e o Book-to-Market aumentam, as empresas brasileiras pagam um prêmio de risco maior. Apesar disto, o fator Book-to-Market quando analisado separadamente, não consegue mostrar uma relação direta com o prêmio de risco, isto é, empresas com alto Book-to-Market (empresas de valor) não necessariamente pagam retornos maiores que as empresas com baixo Book-to-Market (empresas de crescimento). Isto contraria estudos feitos em mercados financeiros desenvolvidos, onde tal relação é estatisticamente significante.
This study analyzes the relationship between the variables Book-to-Market, bankruptcy risk and returns in the Brazilian stock market for a total of 168 Bovespa firms in the period from July 2009 to June 2014. The results demonstrate that as the probability of failure and the Book-to-Market increase, Brazilian companies pay a higher risk premium. Despite this, it was found that the Book-to- Market factor when analyzed separately, is not able to show a direct relationship to the risk premium, that is companies with high Book-to-Market (value companies) do not necessarily pay higher returns than companies with low Bookto- Market (growth companies). This contradicts previous studies done in developed financial markets, where such relationship is statistically significant.
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Hariyoga, Himawan. "An economic analysis of factors affecting the failure of an agricultural marketing cooperative : the bankruptcy of Tri Valley Growers /." For electronic version search Digital dissertations database. Restricted to UC campuses. Access is free to UC campus dissertations, 2004. http://uclibs.org/PID/11984.

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Alfvegren, Adam, Emil Bäckman, and Pontus Eidemar. "Varför går företag i konkurs? : Företagsledares förklaringar ur ett meningsskapandeperspektiv." Thesis, Örebro universitet, Handelshögskolan vid Örebro Universitet, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-26965.

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This paper is about sensemaking. By using sensemaking we have derived bankruptcy factors from business leaders’ own statements about their bankruptcies. The focus in this paper is to ensure how business leaders create meaning about the bankruptcies, which is also our research question. To make the study feasible, we used a method that corresponds well to the purpose of our work. The collection of data started with collecting a number of newspaper articles with direct quotes from business leaders. These quotes were, through a model that structures and categorizes empirical datum, aggregated into bankruptcy factors. The factors were then explained with regards to the business leaders’ statements. The factors are also compared with previous studies of bankruptcy factors. Those studies use different approaches then ours, in deriving and explaining their bankruptcies. With regards to that, we found it interesting to analyze similarities and differences in results. The study has shown five bankruptcy factors. These are customer losses, financing, external circumstances, profitability and planning. They are described by a number of underlying causes. The factors we found have shown both similarities and differences with regards to the previous studies.
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Carlsson, Christian. "The fall of Lehman Brothers : A literary overview of the internal and external factors that lead to the largest bankruptcy in history." Thesis, Umeå universitet, Nationalekonomi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-114497.

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Галич, М. Л. "Методичні засади оцінювання ймовірності банкрутства банку." Master's thesis, Cумський державний університет, 2018. http://essuir.sumdu.edu.ua/handle/123456789/72436.

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В роботі досліджено теоретичні засади та розроблено практичні рекомендації щодо оцінювання ймовірності банкрутства банку.
В работе исследованы теоретические основы и разработаны практические рекомендации по оценке вероятности банкротства банка.
The theoretical principles and practical recommendations for estimating bank bankruptcy probabilities are explored.
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Hansson, Agnes, and Agnes Lindvall. "Macroeconomic factors' impact on the number of bankruptcies among small and medium-sized companies." Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-275663.

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Small and medium-sized companies constitute a large part of the Swedish economy and are to a great extent exposed to the developments in the macroeconomy. There is a general consensus that it exists a relationship between these two components, but to what dimension is it true? The aim of this thesis is to evaluate if the number of bankruptcies among small and medium-sized companies can be explained by the situation in the macroeconomy. In order to do so, data have been collected and a multiple linear regression analysis has been accomplished. The result of the analysis suggests that a model of the six macroeconomic factors months, CPI, retail sales, OMX30, total enterprises and liquidated enterprises, can explain the number of bankruptcies to an extent of 64.49%. When comparing the adequacy of other models used to estimate risks of bankruptcy, it is stated that other models are more accurate. Furthermore, we have concluded that the model is useful to bring insight but only when considered in combinations with other models and tools.
Små- och medelstora bolag utgör en stor del av den svenska ekonomin och är i mycket stor utsträckning exponerad mot utvecklingen i makroekonomin. Den generella bilden är att det existerar en relation mellan dessa två komponenter, men till vilken utsträckning är det sant? Syftet med den här uppsatsen är att utvärdera om antalet konkurser bland små- och medelstora bolag kan förklaras av vilket stadium makroekonomin befinner sig i. För att kunna genomföra undersökningen har en multipel linjär regressionsanalys genomförts. Resultatet av analysen visar att en modell bestående av sex oberoende variabler, månader, KPI, detaljhandeln, OMX30, totalt antal bolag och antal likviderade bolag, kan till 64.49% förklara utfallet av antalet konkurser bland små- och medelstora bolag. Jämfört med andra modeller och teorier som används för att beräkna risken av konkurs hos ett bolag uppfyller modellen inte lika hög tillförlitliget. Slutgiltigen föreslås att modellen kan användas i kombination med andra modeller och verktyg för att bidra med insikt och slutsatser.
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Van, Niekerk Muller. "An investigation into the factors that most often contribute to the insolvency of franchisee businesses in the Western Cape." Thesis, Stellenbosch : Stellenbosch University, 2012. http://hdl.handle.net/10019.1/20760.

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Thesis (MBA)--Stellenbosch University, 2012.
ENGLISH ABSTRACT: “The business format, franchising, can be defined as the granting of a license for a predetermined financial return by a franchising company (franchisor) to its franchisees. The grant entitles them to make use of a complete business package, including training, support and the corporate name which include all branding and logos. Through this enabling the franchisees to operate their own businesses to the same standards and format as the other outlets in the franchise chain” (Maree, 2007, p. iii). Franchising has grown in popularity for entrepreneurs and business people to start a business, a professional career and a way of creating employment. It is seen as a proven business system that is sold to a franchisee as “best practices knowledge” by the franchisor (Maree, 2007). Although the “best practices” approach is at the core of franchising very little research was found to exist that investigates the factors that influence the success or failure of franchisees. The lack of formal research in this regard gave rise to the research question as to what the factors are that will contribute to the failure and subsequent liquidation of franchise businesses in the Western Cape. Current franchise owners and entrepreneurs considering to enter into the franchising sphere need to ensure that they not only understand what factors will influence the success of their businesses, but possibly more importantly, they need to comprehend which are the factors that could potentially lead to the failure of the franchise business. Based on the theoretical research and the data gained from the questionnaire analysis, one can conclude that the majority of the factors discussed in this report contribute towards the failure of franchisee businesses in the Western Cape.
AFRIKAANSE OPSOMMING: Die besigheidsvormbekend as ‘n eksklusieweagentskap of konsessie (“franchise”) kanomskryf word as die verlening van ‘n lisensie of reg teen ‘n voorafbepaaldefinansieletariefdeur die konsessiegewer (“franchisor”) aansykonsessiehouers. Hierdie vergunningmaakdie konsessiehouersgeregtig op die gebruik van ‘n volledigebesigheidsmodelwatopleiding, ondersteuning en die maatskappynaam, sowel as allehandelsmerke en logos, insluit. Hierdeur word die konsessiehouers in staatgestelomhuleiebesighedevolgensdieselfdestandaarde en formaat as die anderafsetpunte in die konsessiegroeptebedryf (Maree, 2007) Die verskaffing van eksklusieweverkoopsregaan entrepreneurs en sakemensewathuleiebesighedewil begin, ‘n professioneleloopbaanwilbeoefen en werksgeleenthedewil skep, het in die jongstetyd al gewildergeword. Dit word as ‘n bewesebesigheidskonsepbeskou en word deur die konsessiegeweraan die konsessiehouer as “bestegebruikskennis” verhandel (vertaaluitMaree, 2007).Alhoewel die “bestegebruik”-benadering die kern van ‘n konsessie is, is slegskarigenavorsingmet betrekking tot die faktorewat die sukses of mislukking van konsessiesondersoek, tans beskikbaar. Die gebrekaanformelenavorsing in hierdie verband het aanleidinggegee tot die navorsingsvraagoorwatterfaktorebydraendkanwees tot die mislukking en gevolglikelikwidasie van konsessies in die Wes-Kaap. Huidigekonsessiehouers, asook entrepreneurs watditoorweegom die terrein van eksklusieweagentskappetebetree, moetnie net die faktorewat die sukses van hulbesighedesalbeinvloedverstaannie maar, stellig van groterbelang, die faktorewatmoontlik tot die mislukking van die besigheidkan lei, identifiseer en begryp. Na aanleiding van die teoretiesenavorsingwatgedoen is, asook die inligtingwat van die vraelys-ontledingsbekom is, kan tot die slotsomgekom word dat die meerderheidfaktorewat in hierdie werkstukbespreek is, tot die mislukking van eksklusieweagentskappe in die Wes-Kaap bydra.
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Новгородцева, Д. С. "Покращення економічного стану промислового підприємства." Master's thesis, Сумський державний університет, 2021. https://essuir.sumdu.edu.ua/handle/123456789/82526.

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Метою кваліфікаційної роботи є встановлення економічного стану промислових підприємств та знаходження шляхів його покращення. Об’єктом дослідження є процеси переходу до покращення економічного стану промислових підприємств. Предметом дослідження є теоретичні і практичні питання визначення незадовільного економічного стану промислового підприємства та впровадження заходів щодо покращення такого стану. Методи дослідження: аналіз, синтез, порівняння, графічний метод представлення даних і матеріалу, діалектичний метод, абстрактно-логічний, системного аналізу, розрахунково-конструктивний. У першому розділі «Теоритичні основи формування прибутку суб’єктів господарювання та шляхи його збільшення» розглянуто загальне поняття прибутку підприємства, визначено ознаки та основні причини його зниження, а також розкрито питання шляхів та напрямків збільшення прибутку. У другому розділі "Методичні підходи до використання та збільшення прибутку підприємства" проаналізована структура прибутку, показники прибутку та здійснений аналіз щодо можливих резервів підвищення прибутку. У третьому розділі "Аналіз та шляхи покращення економічного стану підприємства на прикладі Качанівського ГПЗ" проаналізовано економічний стан підприємства на прикладі Качанівського ГПЗ та запропоновано план заходів щодо покращення економічного стану підприємства.
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Books on the topic "Bankruptcy factors"

1

Hall, Graham. Factors associated with insolvency amongst small firms in the London area. Manchester: Manchester Business School, 1989.

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Hall, Graham. Factors associated with small firm insolvency: Inter-temporal and inter-regional comparisons. Manchester: Manchester Business School, 1990.

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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. Dublin: University College Dublin, Graduate School of Business, 1998.

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Beene, M. Melanie. Autopsy of an orchestra: An analysis of factors contributing to the bankruptcy of the Oakland Symphony Orchestra Association. Edited by Johnson Fenton, Mitchell Patricia A, and Melanie Beene & Associates. San Francisco, Calif: Melanie Beene & Associates, 1988.

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Office, United States Government Accountability. Employer-sponsored benefits: Many factors affect the treatment of pension and health benefits in Chapter 11 bankruptcy : report to Congressional requesters. Washington, DC: United States Government Accountability Office, 2007.

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Kukukina, Irina, and Irina Astrahanceva. Accounting and analysis of bankruptcies. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/949490.

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The textbook introduces the history of the formation of the institute of bankruptcy, conducting reorganization and liquidation procedures in a crisis, diagnosing the financial condition of an enterprise based on situational and coefficient analysis, multiplicative factor models for assessing the threat of bankruptcy, methods for assessing the value of an insolvent enterprise, as well as accounting for operations related to bankruptcy procedures. The possibilities of an integrated approach to the development of a strategy for overcoming the crisis and choosing ways to restructure a bankrupt enterprise are considered. Meets the requirements of the federal state educational standards of higher education of the latest generation. For teachers, postgraduates and students of higher educational organizations, employees of analytical services, anti-crisis managers.
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Lim, Youngjae. Bankruptcy policy reform and total factor productivity dynamics in Korea: Evidence from macro data. Cambridge, Mass: National Bureau of Economic Research, 2003.

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Vitrò, Vincenzo. Le società di fatto: Profili sostanziali ed effetti del fallimento. Milano: Giuffrè, 2009.

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Vitrò, Vincenzo. Le società di fatto: Profili sostanziali ed effetti del fallimento. Milano: Giuffrè, 2009.

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Vacchiano, Massimo. Il fallimento della società di fatto. Milano: Giuffrè, 2004.

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Book chapters on the topic "Bankruptcy factors"

1

Sponerová, Martina, Miroslav Svoboda, and Miroslav Sponer. "Factors Affecting Bankruptcy Depending on the Size of the Company." In Sustainable Finance in the Green Economy, 225–36. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-81663-6_17.

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Umaña-Hermosilla, Benito, Edinson Cornejo-Saavedra, Valeria Riquelme-Garcés, Hanns de la Fuente-Mella, and Claudio Elórtegui-Gómez. "Assessment of the Forecasting Capacity of the Bankruptcy Prediction Models in Companies Listed on the Stock Exchange in Chile and Brazil." In Advances in Human Factors, Business Management and Leadership, 119–28. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80876-1_17.

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Arefieva, Olena, Samira Piletska, and Nadiia Honcharova. "MANAGEMENT SYSTEM OF FINANCIAL SUSTAINABILITY OF THE ENTERPRISE." In Economics, management and administration in the coordinates of sustainable development. Publishing House “Baltija Publishing”, 2021. http://dx.doi.org/10.30525/978-9934-26-157-2-35.

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In modern conditions of economic instability, and a complex geopolitical situation there is a high degree of uncertainty in the functioning of business entities, which significantly increases the risk of bankruptcy due to their inability to withstand the negative impact of external and internal factors. Over the last decade many enterprises of different ownership forms have become bankrupts or are on the verge of bankruptcy as a result of the crisis processes in the world community and in Ukraine in particular. This indicates that at present even large and successful companies need to form and effectively operate a new management system on a microeconomic level, focused on the growth of equity capital while ensuring the target level of financial sustainability in an unstable environment.
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Eskantar, Marianna, Michalis Doumpos, Evangelos Grigoroudis, and Constantin Zopounidis. "Prediction of Corporate Failures for Small and Medium-Sized Enterprises in Europe." In Machine Learning Applications for Accounting Disclosure and Fraud Detection, 223–35. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-4805-9.ch015.

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The risk of bankruptcy is naturally faced by all corporate organizations, and there are various factors that may lead an organization to bankruptcy, including microeconomic and macroeconomic ones. Many researchers have studied the prediction of business bankruptcy risk in recent decades. However, the research on better tools continues to evolve, utilizing new methodologies from various scientific fields of management science and computer science. This chapter deals with the development of statistical and artificial intelligence methodologies for predicting failures for small and medium-sized enterprises, considering financial and macroeconomic data. Empirical results are presented for a large sample of European firms.
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Goletsis, Y., C. Papaloukas, Th Exarhos, and C. D. Katsis. "Bankruptcy Prediction through Artificial Intelligence." In Machine Learning, 684–93. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-60960-818-7.ch320.

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Bankruptcy prediction or corporate failure is considered a classic issue in both, academic and business communities. Bankruptcy risk is one of the most important factors (if not the most important one) to be considered when credit requests are screened or even existing debtors are evaluated. On the other hand, all potential stakeholders (shareholders, suppliers, customers, employees, creditors, auditors, etc.) have potential interest to identify if a company is on a trajectory that is tending towards failure. Commercial banks, public accounting firms and other institutional entities (e.g., bond rating agencies) appear to be the primary beneficiaries of accurate bankruptcy prediction, since they can use research results to minimize exposure to potential client failures. In addition to avoiding potentially troubled obligors, the research can also benefit in other ways. It can help in accurately assessing the credit risk of bank loan portfolios. Credit risk has been the subject of much research activity, since the regulators are acknowledging the need and are urging the banks to assess the credit risk in their portfolios. Measuring the credit risk accurately also allows banks to engineer future lending transactions, so as to achieve targeted return/risk characteristics. The other benefit of the prediction of bankruptcies is for accounting firms. If an accounting firm audits a potentially troubled firm, and misses giving a warning signal then it faces costly lawsuits (Atiya, 2001). A series of techniques have been applied in literature. Econometric / statistical methods have first appeared in literature: In late 1960’s (multiple) discriminant analysis (DA) was the dominant method; during the 1980’s logistic analysis. In the 1990’s artificial intelligence starts appearing in financial literature with neural networks (Odom & Sharda 1990) serving as an alternative to statistical methods demonstrating promising results. The goal of this chapter is therefore two-fold: First, it intends to give an overview of the artificial intelligence techniques successfully applied to the problem, ranging from the first neural network applications to recent applications of biologically inspired algorithms, such as genetic algorithms. Then, two kernel based methods, namely the Radial Basis Function Neural Networks and the Support Vector Machines are applied to the bankruptcy problem.
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Coate, Malcolm B. "Plus Factors in Price Fixing: Insightful or Anachronistic?" In Economic and Legal Issues in Competition, Intellectual Property, Bankruptcy, and the Cost of Raising Children, 1–41. Emerald Group Publishing Limited, 2015. http://dx.doi.org/10.1108/s0193-589520150000027001.

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Hackney, Donald D., Daniel L. Friesner, and Matthew Q. McPherson. "Incorporating Culture and Competition for Status into Quantitative Financial Epidemiology Models." In Developing Business Strategies and Identifying Risk Factors in Modern Organizations, 1–17. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4860-9.ch001.

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This chapter extends the financial epidemiology literature as it applies to the acquisition of consumer debt. A recent manuscript provided a very simple model to illustrate how conspicuous consumption within a community (in the vernacular, “keeping up with the Joneses”) can lead to situations where a contagion of financial insolvency may occur (Friesner, McPherson, & Hackney, 2014). However, that model simply illustrates the feasibility of modeling both conspicuous consumption and financial contagions in a single framework. It does not explicitly incorporate most of the epidemiological, socio-cultural, and psychological factors that drive decisions to use debt to finance conspicuous consumption. In this chapter, the authors build a much more detailed model of financial epidemiology that includes (or can be extended to include) most of the salient ecological characteristics advanced by financial economists (neoclassical or heterodox) and epidemiologists. The model can be used to illustrate specific characteristics that promote (or inhibit) consumer behavior that pushes the household into financial exigency. The results can therefore provide a more informative basis for policy makers to reduce the prevalence of bankruptcy or other financial insolvency within a community as a whole.
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Xin, Xiu, and Xiaoyi Xiong. "Financial Distress Prediction of Chinese-Listed Companies Based on PCA and WNNs." In Global Applications of Pervasive and Ubiquitous Computing, 212–20. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2645-4.ch023.

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The operating status of an enterprise is disclosed periodically in a financial statement. Financial distress prediction is important for business bankruptcy prevention, and various quantitative prediction methods based on financial ratios have been proposed. This paper presents a financial distress prediction model based on wavelet neural networks (WNNs). The transfer functions of the neurons in WNNs are wavelet base functions which are determined by dilation and translation factors. Back propagation algorithm was used to train the WNNs. Principal component analysis (PCA) method was used to reduce the dimension of the inputs of the WNNs. Multiple discriminate analysis (MDA), Logit, Probit, and WNNs were employed to a dataset selected from Chinese-listed companies. The results demonstrate that the proposed WNNs-based model performs well in comparison with the other three models.
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Aslan, Mustafa. "Precautions and Support Packages During COVID-19 for Aviation Companies." In Digitalization and the Impacts of COVID-19 on the Aviation Industry, 162–85. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-2319-6.ch009.

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The aviation industry is one of the most strategic industries because of economic, logistic, and defense reasons. The aviation sector, however, is a low-profit industry while requiring high investment and operating costs. This situation hinders the sustainability of the aviation industry by causing the sector to be adversely affected by any size of local or global crisis. The recent COVID-19 pandemic showed how vulnerable the sector is. Although almost all the countries have prepared support packages for the aviation sector, several companies have ceased their operations or filed for bankruptcy. For the rest that continue to operate, the trade-off between ensuring the operations and maintaining competition during and after the COVID-19 pandemic is challenging because of several political and economic factors. This chapter discusses the conditions of the aviation sector during the COVID-19 pandemic, its effect on the aviation sector, and the support packages created by states for the aviation sector to survive.
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Ibrahim, Celene. "Female Sex and Sexuality." In Women and Gender in the Qur'an, 19–62. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190063818.003.0002.

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This chapter discusses Qur’anic concepts related to sex and sexuality and considers how sex, as a feature of embodiment and as an act of intimacy, factors into Qur’anic narratives. It delineates concepts such as “female,” “woman,” and “wife,” and gives attention to Qur’anic notions of virginity and beauty. The chapter points out the many provocative juxtapositions between female figures, the situations that they navigate, and the moral valences of their actions and intentions. It demonstrates how the issue of illicit sex is a major human dilemma in the Qur’anic worldview, both for the chaste who are unjustly accused of illicit sex and for immoral people who create havoc for themselves and others through their profligacy and moral bankruptcy. On the other hand, the Qur’an does not emphasize the trope of the seductress; of the dozens of female figures mentioned in the Qur’an, only one plays this role, and even she can be directly contrasted to women in similar, potentially compromising situations who take the morally sound course of action. Qur’anic terminology for paradisal beings and the possibility of sex in paradise is also discussed.
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Conference papers on the topic "Bankruptcy factors"

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Hossain, Tasrin, Tashrifa Ferdous, Erfanul Hoque Bahadur, Abdul Kadar Muhammad Masum, and Abm YasirArafat. "Data Mining for Predicting and Finding Factors of Bankruptcy." In 2022 International Conference on Innovations in Science, Engineering and Technology (ICISET). IEEE, 2022. http://dx.doi.org/10.1109/iciset54810.2022.9775887.

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Мезенцева, Юлия, Yuliya Mezentseva, Лилия Гайдарова, and Lilia Gaidarova. "ANALYSIS OF BANKRUPTCY OF ECONOMIC ENTITIES IN RUSSIA AND ABROAD." In Modern problems of an economic safety, accounting and the right in the Russian Federation. AUS PUBLISHERS, 2018. http://dx.doi.org/10.26526/conferencearticle_5c505ffa43f612.25988078.

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In world practice, it is now generally recognized is the understanding of bankruptcy as an integral element of the market economy, which serves as a certain incentive for the effective work of economic entities. Bankruptcy in Russia and abroad has similar features, but the legislation of the countries at the same time develops, based on an individual kaleidoscope of political and social factors. The article analyzes bankruptcy in the Russian and foreign economy, its dynamics and development prospects
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Pakharukov, Alexander A. "The Impact Of Economic Factors On The Legislative Policy On Bankruptcy." In International Forum «Freedom and responsibility in pivotal times». European Publisher, 2022. http://dx.doi.org/10.15405/epsbs.2022.03.122.

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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 bankruptcy prediction models under different perspectives but still could not indicate the most reliable model. This paper focuses on the Czech economy, specifically at small and medium-sized enterprises (SMEs). This article aims to find if there exist different factors that could predict bankruptcy for manufacturing and commercial companies. Considering the research objective, the following hypotheses were set: H1: Indicators used in the financial distress model for manufacturing companies differ from commercial companies.; H2: Applying a model based on different segmentation criteria improves the reliability of bankruptcy prediction. It is the ongoing research about the value of several popular bankruptcy models that are often applied, namely the Altman Z-score, the Ohlson O-score, the Zmijewski's model, the Taffler's model, and the IN05 model. The logistic regression has been used to investigate around 1800 companies, of which 308 failed during 2010 – 2017. Reached results confirm both hypotheses and some suggestions arise from it. When we develop a bankruptcy model, it is necessary to sort companies according to different criteria. It also confirms findings of the last years literature review the closer the similarity of businesses, the greater accuracy of bankruptcy models. Further, it is required to exploit common used financial indicators with a combination of modified indicators to assess the probability of bankruptcy precisely."
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Suwendra, I. Wayan, I. Nyoman Sujana, and Kadek Rai Suwena. "Bankruptcy of Village-Owned Enterprises Based on Analysis of Various Factors on BUMDes Cipta Werdhi Amerta, Village of Tinga-Tinga, District of Gerokgak, Regency of Buleleng." In 6th International Conference on Tourism, Economics, Accounting, Management, and Social Science (TEAMS 2021). Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/aebmr.k.211124.050.

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Alekseeva, Evgeniya Vladimirovna. "Subsidiary Liability in Bankruptcy as a Factor in Ensuring the Economic Security of the State." In АКТУАЛЬНЫЕ ВОПРОСЫ РАЗВИТИЯ ГОСУДАРСТВЕННОСТИ И ПУБЛИЧНОГО ПРАВА. Санкт-Петербург: Санкт-Петербургский институт (филиал) ВГУЮ (РПА Минюста России), 2021. http://dx.doi.org/10.47645/9785604572849_24.

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Volna, E. S., Yu A. Dolgikh, and Yu E. Slepukhina. "Three-Factor Model of Predicting Bankruptcy of a Trading Company and the Advantages of Its Application in a Digital Economy." In 2nd International Scientific and Practical Conference “Modern Management Trends and the Digital Economy: from Regional Development to Global Economic Growth” (MTDE 2020). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/aebmr.k.200502.067.

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WANG, YI-YAN. "THE SURVIVAL OF FASHION LUXURY BRAND WHEN THE DESIGNER CHANGING: HOW TO BALANCE DESIGN AND MARKET IN ORDER TO MAINTAIN BRAND VALUE." In 2021 International Conference on Education, Humanity and Language, Art. Destech Publications, Inc., 2021. http://dx.doi.org/10.12783/dtssehs/ehla2021/35705.

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Fashion designer is one of dominate role in a fashion luxury brand. There are many cases that luxury fashion brand via recruiting a creative designer to revive their commercial empire. For example, Tom Ford capitalizes on ten years to make nearly bankrupt Gucci resurge, even become a bellwether that value 4.3 billion market cap in the luxury industry[1]. But, that is not mean every designer could be lucky to cooperate with a brand that match his or her design style, such as the transitory cooperation of Kalvin Klein and Raf Simons. Thus, except the cooperation situation of designer and company, the other critical factor to determinate one designer whether match a brand is the balance between design and marketing. This report examines the plight of fashion luxury brand when designer changing. And explore how to remedy the loosing of brand core competitiveness and discuss a sires of reasons why new design concept useless for sales improvement, also, how to utilize marketing strategy such as visual communication to maintain brand equity. In this paper, the author conducted a series of comprehensive methodologies such as content analysis, historical research and case study to probe the role of designer for luxury brands and describes that marketing strategy might contribute to protect brand value in the period of brand upgrading. The research finding that, whilst designer changing, the visual marketing could be an effective method to help luxury fashion brand tide over difficulties, whole visual presenting of brand could maintain the impression in customer mind.
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Reports on the topic "Bankruptcy factors"

1

Lim, Youngjae, and Chin Hee Hahn. Bankruptcy Policy Reform and Total Factor Productivity Dynamics in Korea. Cambridge, MA: National Bureau of Economic Research, July 2003. http://dx.doi.org/10.3386/w9810.

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