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    Wyświetlanie 1-11 z 11
    Tytuł:
    BANKRUPTCY IN SLOVAKIA: INTERNATIONAL COMPARISON OF THE CREDITOR´S POSITION
    Autorzy:
    Kliestik, Tomas
    Misankova, Maria
    Kliestikova, Jana
    Powiązania:
    https://bibliotekanauki.pl/articles/489093.pdf
    Data publikacji:
    2017
    Wydawca:
    Instytut Badań Gospodarczych
    Tematy:
    bankruptcy
    bankruptcy law
    insolvency
    insolvency law
    creditor
    Opis:
    Research background: Bankruptcy shouldn´t be considered only as negative phenomena although its impact is for companies in most cases more than devastating. This change of point of view is invoked by the needs of contemporary socio-economic evolution. If society wants to reach sustainable development, the bankruptcy should be perceived as an immanent part of normal cyclical economic development. Moreover, if the view of bankruptcy is changed in a positive way, it can be a stimulus for innovations, investment and global welfare. But it is not possible without an increase in the effectiveness of national and international bankruptcy law. Purpose of the article: The goal of this study is to analyse the position of a creditor in the case of a debtor´s bankruptcy on the basis of comparative law in the Slovak Republic de lege ferenda. It is because we assume that continuous attention should be given to the issue of the creditor’s position with regard to a debtor´s bankruptcy to achieve sustainable economic development. Methods: The potential consideration de lege ferenda should be based not only on performed legal analysis, but also on performed economic analysis. So, selected countries have been evaluated according to specific economic and legal indicators. We used the interdisciplinary approach based on selection analysis and legal comparative analysis applied to international comparison of the status of creditor and the effectiveness of bankruptcy law from his point of view. Findings & Value added: The applied approach has led us to the detection of the most important insolvency laws, specifically the insolvency laws of the United States and Austria. These legislations were further applied in the context of consideration de lege ferenda over the position of a creditor in the case of a debtor´s bankruptcy in the Slovak Republic.
    Źródło:
    Oeconomia Copernicana; 2017, 8, 2; 221-237
    2083-1277
    Pojawia się w:
    Oeconomia Copernicana
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Systematic review of variables applied in bankruptcy prediction models of Visegrad group countries
    Autorzy:
    Kovacova, Maria
    Kliestik, Tomas
    Valaskova, Katarina
    Durana, Pavol
    Juhaszova, Zuzana
    Powiązania:
    https://bibliotekanauki.pl/articles/19106225.pdf
    Data publikacji:
    2019
    Wydawca:
    Instytut Badań Gospodarczych
    Tematy:
    bankruptcy
    bankruptcy prediction
    variables
    countries of Visegrad four
    Opis:
    Research background: Since the first bankruptcy prediction models were developed in the 60's of the 20th century, numerous different models have been constructed all over the world. These individual models of bankruptcy prediction have been developed in different time and space using different methods and variables. Therefore, there is a need to analyse them in the context of various countries, while the question about their suitability arises. Purpose of the article: The analysis of more than 100 bankruptcy prediction models developed in V4 countries confirms that enterprises in each country prefer different explanatory variables. Thus, we aim to review systematically the bankruptcy prediction models developed in the countries of Visegrad four and analyse them, with the emphasis on explanatory variables used in these models, and evaluate them using appropriate statistical methods. Methods: Cluster analysis and correspondence analysis were used to explore the mutual relationships among the selected categories, e.g. clusters of explanatory variables and countries of the Visegrad group. The use of the cluster analysis focuses on the identification of homogenous subgroups of the explanatory variables to sort the variables into clusters, so that the variables within a common cluster are as much similar as possible. The correspondence analysis is used to examine if there is any statistically significant dependence between the monitored factors ? bankruptcy prediction models of Visegrad countries and explanatory variables. Findings & Value added: Based on the statistical analysis applied, we confirmed that each country prefers different explanatory variables for developing the bankruptcy prediction model. The choice of an appropriate and specific variable in a specific country may be very helpful for enterprises, researchers and investors in the process of construction and development of bankruptcy prediction models in conditions of an individual country.
    Źródło:
    Oeconomia Copernicana; 2019, 10, 4; 743-772
    2083-1277
    Pojawia się w:
    Oeconomia Copernicana
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    CORPORATE BANKRUPTCY AND SURVIVAL ON THE MARKET: LESSONS FROM EVOLUTIONARY ECONOMICS
    Autorzy:
    Boratyńska, Katarzyna
    Powiązania:
    https://bibliotekanauki.pl/articles/488966.pdf
    Data publikacji:
    2016
    Wydawca:
    Instytut Badań Gospodarczych
    Tematy:
    corporate bankruptcy and survival
    creative destruction
    evolutionary economics
    Opis:
    The following paper is a theoretical and empirical study. The terminological differences between bankruptcy and insolvency have been indicated and compared in the article. Most frequently considered aspects of bankruptcy appear in definitions. The first of them emphasizes the economic character of bankruptcy. Insolvency is a culmination of a lack of financial means and the loss of solvency, which does not have a fading tendency, but develops into a permanent phenomenon. In legal terms, insolvency is an institution, whose purpose is to stop the accumulation of debts and most frequently it consists on the liquidation of the debtor's estate. The main purpose of the study is a critical review of the scientific achievements of the representatives of evolutionary economics within the scope and mechanism of bankruptcy and the survival of enterprises. The analyzed case of the Beta company, which went bankrupt, indicates that the companies which are not able to undertake proper adjustments to competitive conditions of the market at the right moment are eliminated from it. The theoretical law “the survival of the fittest” finds then its reflection in practice. The following research methods were used in the article: a descriptive analysis and the trajectories of J. Argenti in terms of models. Detailed examinations of files of insolvency proceedings of the Beta company have been carried out.
    Źródło:
    Oeconomia Copernicana; 2016, 7, 1; 107-129
    2083-1277
    Pojawia się w:
    Oeconomia Copernicana
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Does the life cycle affect earnings management and bankruptcy?
    Autorzy:
    Durana, Pavol
    Michalkova, Lucia
    Privara, Andrej
    Marousek, Josef
    Tumpach, Milos
    Powiązania:
    https://bibliotekanauki.pl/articles/19233663.pdf
    Data publikacji:
    2021
    Wydawca:
    Instytut Badań Gospodarczych
    Tematy:
    earnings management
    corporate life cycle
    cash flow pattern
    bankruptcy
    Opis:
    Research background: Deteriorating economic conditions and a negative outlook increase the pressure on financial management and the need to show high financial performance. According to Positive Accounting Theory, the growing risk of bankruptcy is associated with the phenomenon of earnings management. Bankruptcy risk and the quality of reported profits, along with other aspects of financial performance, vary throughout the company's life cycle. Nevertheless, these factors or their interactions are investigated only to a very small extent. Purpose of the article: The aim of this study is to clarify the impact of corporate life cycle and bankruptcy on earnings management, in order to describe behaviour of companies at different stages of corporate life cycle. Methods: A hierarchical mixed model with a random time and industry effect was chosen as appropriate because it allows the investigation of multilevel data that is not independent. The sample covers the financial indicators of more than 33,000 Central European companies from 2015-2019. The non-sequential Dickinson model, company age, and three models of accrual earnings management were used as proxies for the company's life cycle and quality of reported profit. Findings & value added: Earnings management and bankruptcy risk have a U-shape, indicating that financially distressed firms reduce reported accounting profit at the Introduction, Decline and, to a lesser extent, at the Growth stage. Slovak and Czech companies manipulate profits to a similar extent, Hungarian companies increase accounting profit to a greatest extent than the surveyed countries by controlling bankruptcy - life cycle effect; however, the variability of accounting manipulations across industries has not been demonstrated. These findings imply that start-ups and declining businesses provide crooked financial statements to obtain more favourable debt covenants, and estimating discretionary accruals using life-cycle subsamples can improve the predictive power of accrual earnings management models.
    Źródło:
    Oeconomia Copernicana; 2021, 12, 2; 425-461
    2083-1277
    Pojawia się w:
    Oeconomia Copernicana
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Bankruptcy prediction in the post-pandemic period: A case study of Visegrad Group countries
    Autorzy:
    Valaskova, Katarina
    Gajdosikova, Dominika
    Belas, Jaroslav
    Powiązania:
    https://bibliotekanauki.pl/articles/19322751.pdf
    Data publikacji:
    2023
    Wydawca:
    Instytut Badań Gospodarczych
    Tematy:
    bankruptcy
    prediction model
    multiple discriminant analysis
    Visegrad group countries
    Opis:
    Research background: Effective monitoring of financial health is essential in the financial management of enterprises. Early studies to predict corporate bankruptcy were published at the beginning of the last century. The prediction models were developed with a significant delay even among the Visegrad group countries. Purpose of the article: The primary aim of this study is to create a model for predicting bankruptcy based on the financial information of 20,693 enterprises of all sectors that operated in the Visegrad group countries during the post-pandemic period (2020-2021) and identify significant predictors of bankruptcy. To reduce potential losses to shareholders, investors, and business partners brought on by the financial distress of enterprises, it is possible to use multiple discriminant analysis to build individual prediction models for each Visegrad group country and a complex model for the entire Visegrad group. Methods: A bankruptcy prediction model is developed using multiple discriminant analysis. Based on this model, prosperity is assessed using selected corporate financial indicators, which are assigned weights such that the difference between the average value calculated in the group of prosperous and non-prosperous enterprises is as large as possible. Findings & value added: The created models based on 6-14 financial indicators were developed using different predictor combinations and coefficients. For all Visegrad group countries, the best variable with the best discriminating power was the total indebtedness ratio, which was included in each developed model. These findings can be used also in other Central European countries where the economic development is similar to the analyzed countries. However, sufficient discriminant ability is required for the model to be used in practice, especially in the post-pandemic period, when the financial health and stability of enterprises is threatened by macroeconomic development and the performance and prediction ability of current bankruptcy prediction models may have decreased. Based on the results, the developed models have an overall discriminant ability greater than 88%, which may be relevant for academicians to conduct further empirical studies in this field.
    Źródło:
    Oeconomia Copernicana; 2023, 14, 1; 253-293
    2083-1277
    Pojawia się w:
    Oeconomia Copernicana
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Financial performance and bankruptcy concerns of SMEs in their export decision
    Autorzy:
    Ključnikov, Aleksandr
    Civelek, Mehmet
    Krajčík, Vladimír
    Novák, Petr
    Červinka, Michal
    Powiązania:
    https://bibliotekanauki.pl/articles/19322617.pdf
    Data publikacji:
    2022
    Wydawca:
    Instytut Badań Gospodarczych
    Tematy:
    financial performance
    bankruptcy
    SMEs
    export obstacles
    Visegrad countries
    Opis:
    Research background: Due to having lack of financial power and low amount of revenues, most of SMEs' major concerns are bankruptcy and low financial performance. Those issues are risky situations for SMEs when making for their exporting activities. Therefore, depending on their performance and bankruptcy risk, they might more intensively perceive export barriers and this fact might determine their export decisions. Purpose of the article: This paper examines whether financial performance and bankruptcy concerns of SMEs affect their perceptions of export obstacles or not. Methods: This research performs random sampling method and directs an internet-mediated questionnaire to the selected respondents who are the executives of 408 Czech, Slovakian and Hungarian SMEs. To examine the influences of firm performance and bankruptcy on the perceptions of export impediments by SMEs, this paper employs Ordinal Logistic Regression Test. Findings & value added: The results show that SMEs having less healthy financial conditions less intensively perceive cultural-linguistic export barriers in comparison with SMEs having better financial performance. Moreover, firm performance is not a predictor variable in the perceptions of export costs, legislative and tax-related barriers by SMEs. On the other hand, while SMEs having more bankruptcy concerns more intensively perceive tax-related and cultural-linguistic barriers, bankruptcy concerns of SMEs do not influence their perceptions of export costs and legislative differences. Although many studies have investigated the impacts of financial conditions of SMEs on their internationalization and exporting decisions, they are isolated with only a market or only with a financial issue. The limited extents of those studies cause a partial investigation of export and financial issues of SMEs and make readers having a narrow perspective in this specific area. By focusing on various export obstacles and financial issues that SMEs face in different markets, this research offers a detailed understanding of SMEs' perceptions regarding their financial conditions and export barriers, from a comprehensive perspective. In this regard, this is the research gap that this paper aims to fill.
    Źródło:
    Oeconomia Copernicana; 2022, 13, 3; 867-890
    2083-1277
    Pojawia się w:
    Oeconomia Copernicana
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Artificial intelligence in predicting the bankruptcy of non-financial corporations
    Autorzy:
    Gavurova, Beata
    Jencova, Sylvia
    Bacik, Radovan
    Miskufova, Marta
    Letkovsky, Stanislav
    Powiązania:
    https://bibliotekanauki.pl/articles/19322666.pdf
    Data publikacji:
    2022
    Wydawca:
    Instytut Badań Gospodarczych
    Tematy:
    engineering industry
    automotive industry
    bankruptcy prediction
    Logistic regression
    artificial intelligence
    neural network
    Opis:
    Research background: In a modern economy, full of complexities, ensuring a business' financial stability, and increasing its financial performance and competitiveness, has become especially difficult. Then, monitoring the company's financial situation and predicting its future development becomes important. Assessing the financial health of business entities using various models is an important area in not only scientific research, but also business practice. Purpose of the article: This study aims to predict the bankruptcy of companies in the engineering and automotive industries of the Slovak Republic using a multilayer neural network and logistic regression. Importantly, we develop a novel an early warning model for the Slovak engineering and automotive industries, which can be applied in countries with undeveloped capital markets. Methods: Data on the financial ratios of 2,384 companies were used. We used a logistic regression to analyse the data for the year 2019 and designed a logistic model. Meanwhile, the data for the years 2018 and 2019 were analysed using the neural network. In the prediction model, we analysed the predictive performance of several combinations of factors based on the industry sector, use of the scaling technique, activation function, and ratio of the sample distribution to the test and training parts. Findings & value added: The financial indicators ROS, QR, NWC/A, and PC/S reduce the likelihood of bankruptcy. Regarding the value of this work, we constructed an optimal network for the automotive and engineering industries using nine financial indicators on the input layer in combination with one hidden layer. Moreover, we developed a novel prediction model for bankruptcy using six of these indicators. Almost all sampled industries are privatised, and most companies are foreign owned. Hence, international companies as well as researchers can apply our models to understand their financial health and sustainability. Moreover, they can conduct comparative analyses of their own model with ours to reveal areas of model improvements.
    Źródło:
    Oeconomia Copernicana; 2022, 13, 4; 1215-1251
    2083-1277
    Pojawia się w:
    Oeconomia Copernicana
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Management of financial risks in Slovak enterprises using regression analysis
    Autorzy:
    Valaskova, Katarina
    Kliestik, Tomas
    Kovacova, Maria
    Powiązania:
    https://bibliotekanauki.pl/articles/18799016.pdf
    Data publikacji:
    2018
    Wydawca:
    Instytut Badań Gospodarczych
    Tematy:
    financial risk
    default
    bankruptcy
    regression model
    Opis:
    Research background: Financial risk management is the task of monitoring financial risks and managing their impact. Financial risk is often perceived as the risk that a company may default on its debt payments. The issue of the debt, default or prosperity of the company are presented in the article as one of the ways of the risk management. A prediction of corporate default is an inseparable element of the risk management. Mainly the consequences of risk are the engine of research and development of methods and models, which enable to predict economic and financial situation in specific conditions of global economies. Purpose of the article: The main aim of the presented article is to assess financial risks of Slovak entities, realized by the identification of significant factors and determinants affecting the prosperity of Slovak companies. Methods: To conduct the research we have used the data of Slovak enterprises, obtained from annual financial reports covering the year 2015 and the calculated financial ratios of profitability, activity, liquidity and indebtedness that may affect the financial health of the company were applied in the regression analysis. Realizing the multiple regression analysis, the statistically significant determinants that affect the future financial development of the company are identified, as well as the regression model of the bankruptcy prediction. Findings & Value added: In the research aimed at the management of financial risks in Slovak enterprises, we focused on the revelation of significant economic risk factors using multiple regression. The results suggest that the most significant predictors are net return on capital, cash ratio, quick ratio, current ratio, net working capital, RE/TA ratio, current debt ratio, financial debt ratio and current assets turnover based on which the decision about the future company default can be made. These factors are significant enough to manage financial risks and to affect the profitability and prosperity of the company.
    Źródło:
    Oeconomia Copernicana; 2018, 9, 1; 105-121
    2083-1277
    Pojawia się w:
    Oeconomia Copernicana
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Financial threat profiles of industrial enterprises in Poland
    Autorzy:
    Kaczmarek, Jarosław
    Alonso, Sergio Luis Náñez
    Sokołowski, Andrzej
    Fijorek, Kamil
    Denkowska, Sabina
    Powiązania:
    https://bibliotekanauki.pl/articles/19233668.pdf
    Data publikacji:
    2021
    Wydawca:
    Instytut Badań Gospodarczych
    Tematy:
    financial threat
    bankruptcy
    early warning systems
    risk management
    enterprise crisis
    Opis:
    Research background: The nature of bankruptcy has been the subject of interest for economic theories, both positive-identifying relationships between bankruptcy and other economic categories - and normative, shaping the rules for the proper regulation of bankruptcy. In turn, the functioning of an enterprise in conditions of risk, financial threat, and finally a crisis that could lead to bankruptcy, are of interest to management. The interpenetration of these two dimensions provided the motivation for this study, which assumes a bottom-up approach: from individual results to summarised multi-sectional comparisons. Purpose of the article: The purpose of the research was to evaluate the level, directions of change, and structure of the degree of financial threat in industrial enterprises. The period under analysis was 2007-2018 and the whole population of industrial enterprises in Poland (15,999 entities) was examined. The enterprises were small and medium-sized enterprises (SMEs) as well as large enterprises (LEs). The financial analysis covered macro-, meso-, and microeconomic levels. Methods: The analysis was conducted using a comparative approach and financial threat predictions obtained from the original multivariable logit model. Heat maps were used to evaluate the intensity of changes in financial threat. The displacement of objects in structures was studied, ordered, and classified. Four normative standards of threat scenarios were defined and then used to evaluate similarities in the profiles of the structures examined, using the similarity measure. The ranking and its variability were analysed in the assessment of profiles. Findings & value added: As the result of the research, properties were described and profiles were determined for the structures in terms of the degree of threat and its correlation with rate of bankruptcy and creating added value. The originality of the research comes from the use of novel dynamic logit models. The added value is a unique study on the entire population of industrial enterprises in the national economy and a methodology for identifying financial threat profiles and their similarity at subsequent aggregation levels (the micro-, meso-, and macro-levels). This made it possible to derive patterns and regularities for economic policy and guidelines for business management.
    Źródło:
    Oeconomia Copernicana; 2021, 12, 2; 463-498
    2083-1277
    Pojawia się w:
    Oeconomia Copernicana
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The impacts of innovative and competitive abilities of SMEs on their different financial risk concerns: System approach
    Autorzy:
    Civelek, Mehmet
    Krajčík, Vladimír
    Fialova, Vendula
    Powiązania:
    https://bibliotekanauki.pl/articles/19322758.pdf
    Data publikacji:
    2023
    Wydawca:
    Instytut Badań Gospodarczych
    Tematy:
    financial risk management
    financial performance
    bankruptcy
    innovativeness
    competitiveness
    Opis:
    Research background: The lack of financial resources of small and medium enterprises (SMEs) make them face high financial risk. Their entrepreneurial abilities that belong to Resource-based View (RBV), such as innovativeness and competitiveness, might reduce SMEs' financial risk because those entrepreneurial abilities increase the financial performance of businesses. Purpose of the article: This paper aims to investigate the effects of the innovativeness and competitiveness of SMEs on their financial concerns based on financial risk, including bankruptcy, financial performance, and financial risk management. Methods: The authors use a method of data analysis and synthesis, including advanced knowledge and digital processing of background studies. This paper examines 1221 SMEs from the Czech Republic, Slovakia, and Hungary. Those firms are chosen by random sampling method from Cribis and the Budapest Chamber of Commerce databases. Then the researchers directed an online questionnaire to collect the research data from the randomly selected firms. The researchers use Ordinal Logistic Regression Test for analysis purposes. Findings & value added: This paper's results indicate that SMEs' competitiveness does not impact SMEs' bankruptcy prediction, financial performance, or financial risk management. On the other hand, while more innovative SMEs are less likely to face bankruptcy issues than less innovative SMEs, less innovative SMEs indicate better financial performance than their more innovative counterparts. Since this paper focuses on the influences of intangible assets of SMEs (such as characteristics based on RBV and Entrepreneurial Orientation) on their tangible assets (financial performance etc.) and puts emphasis on this fact from an International perspective, this paper makes a significant contribution to the literature. Furthermore, analyzing multiple relationships between SMEs' different entrepreneurial characteristics and various financial risk concerns is another important fact that might draw prospective readers' attention.
    Źródło:
    Oeconomia Copernicana; 2023, 14, 1; 327-354
    2083-1277
    Pojawia się w:
    Oeconomia Copernicana
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Implementing artificial intelligence in forecasting the risk of personal bankruptcies in Poland and Taiwan
    Autorzy:
    Korol, Tomasz
    Fotiadis, Anestis K.
    Powiązania:
    https://bibliotekanauki.pl/articles/19322547.pdf
    Data publikacji:
    2022
    Wydawca:
    Instytut Badań Gospodarczych
    Tematy:
    fuzzy logic
    genetic algorithms
    artificial neural networks
    consumer bankruptcy
    the financial crisis of households
    Opis:
    Research background: The global financial crisis from 2007 to 2012, the COVID-19 pandemic, and the current war in Ukraine have dramatically increased the risk of consumer bankruptcies worldwide. All three crises negatively impact the financial situation of households due to increased interest rates, inflation rates, volatile exchange rates, and other significant macroeconomic factors. Financial difficulties may arise when the private person is unable to maintain a habitual standard of living. This means that anyone can become financially vulnerable regardless of wealth or education level. Therefore, forecasting consumer bankruptcy risk has received increasing scientific and public attention.  Purpose of the article: This study proposes artificial intelligence solutions to address the increased importance of the personal bankruptcy phenomenon and the growing need for reliable forecasting models. The objective of this paper is to develop six models for forecasting personal bankruptcies in Poland and Taiwan with the use of three soft-computing techniques. Methods: Six models were developed to forecast the risk of insolvency: three for Polish households and three for Taiwanese consumers, using fuzzy sets, genetic algorithms, and artificial neural networks. This research relied on four samples. Two were learning samples (one for each country), and two were testing samples, also one for each country separately. Both testing samples contain 500 bankrupt and 500 nonbankrupt households, while each learning sample consists of 100 insolvent and 100 solvent natural persons. Findings & value added: This study presents a solution for effective bankruptcy risk forecasting by implementing both highly effective and usable methods and proposes a new type of ratios that combine the evaluated consumers? financial and demographic characteristics. The usage of such ratios also improves the versatility of the presented models, as they are not denominated in monetary value or strictly in demographic units. This would be limited to use in only one country but can be widely used in other regions of the world.
    Źródło:
    Oeconomia Copernicana; 2022, 13, 2; 407-438
    2083-1277
    Pojawia się w:
    Oeconomia Copernicana
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
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