Search Results

1 - 10 of 27 items :

  • Mathematics and Statistics for Economists x
  • Business Management x
Clear All
Financial Stability of Insurance Companies in Selected CEE Countries

Abstract

Background: Financial stability or soundness of insurance companies has gained importance over the years, especially after the financial crisis of 2008. Various stakeholders such as policy makers, regulators, the insured, etc. are interested in keeping the insurance sector stable since it contributes to overall financial stability.

Objectives: The authors explore the determinants of insurers’ soundness in selected countries in Central and Eastern Europe. The analysis covers life, non-life and composite insurers that operated in Croatia, Hungary, and Poland in the period 2013 – 2017.

Methods/Approach: A set of insurer – specific, industry – specific and macroeconomic variables are taken into consideration for having a potential influence on soundness measured by the Z-score. The variables include the size based on total assets, the share of premium ceded to reinsurance, claims growth, gross written premium growth, the premium to surplus ratio, market shares held by the five largest insurers, the share of gross written premium in the gross domestic product (GDP) and the GDP per capita growth.

Results: The findings reveal that soundness of Croatian insurers is positively influenced by the size of an insurer. Both in Hungary and Poland reinsurance plays an important factor positively affecting soundness.

Conclusions: Each of the insurance markets covered by the analysis reveals its characteristics and offers guidelines on factors influencing financial stability.

Open access
The Effect of Government Subsidy on Non-Technological Innovation and Firm Performance in the Service Sector: Evidence from Germany

+ D de las empresas: un análisis empírico”, Herri ekonomiaz, No. 11, pp. 47-66. 13. Cainelli, G., Evangelista, R., Savona, M. (2004), „The impact of innovation on economic performance in services”, The Service Industries Journal, Vol. 24, No. 1, pp. 116-130. 14. Caliendo, M., Kopeinig, S. (2008), “Some Practical Guidance for the Implementation of Propensity Score Matching”, Journal of Economic Surveys, Vol. 22, No. 1, pp. 31-72. 15. Carboni, O. A. (2017), “The effect of public support on investment and R&D: An empirical evaluation on European

Open access
Work-Related Psychosocial Risk Factors and Care Workers Mental Health (In Estonian Nursing Homes)

Abstract

The humankind is ageing rapidly, and as a result, there is an increasing need for old people’s homes. The nursing homes face different problems in financing and recruiting the labour force and management. Lack of resources causes the situation, when managers have to find possibilities to accomplish services and to provide quality care with the limited funds. This situation has an additional impact on the nursing professionals, who have to deal with many psychosocial risk factors in their work. The aim of the paper is to explore the work-related psychosocial risk factors and their relationships with mental health problems (MHPs) amongst care workers. A cross-sectional survey was undertaken amongst the care workers in nine Estonian nursing homes. Psychosocial work factors and MHPs (stress, somatic symptoms, depressive symptoms, burnout, cognitive symptoms, and sleep disorders) were analysed using the second version of the Copenhagen Psychosocial Questionnaire (COPSOQ II). Descriptive statistics and Pearson’s r correlation were used to analyse the data. The analysis was based on 340 care worker surveys. The highest mean scores for the studied work-related psychosocial factors were recorded for the quantitative demands, influence, rewards, role conflicts, trust, insecurity and work-family balance. Low mean scores were recorded for the meaning of work, role clarity, social relationships at work. The lowest score was followed by burnout and the highest - by cognitive symptoms.

Open access
Predicting the Default Risk of Companies. Comparison of Credit Scoring Models: Logit Vs Support Vector Machines

Bibliography Abildgren K., Buchholst B.V., Staghøj J., 2011, Bank-firm relationships and the performance of non-financial firms during the financial crisis 2008-09 microeconometric evidence from large-scale firm-level data , Working Paper, no. 73. Danmarks National Bank. Akbani R., Kwek S., Japkowicz N., 2004, Applying support vector machines to imbalanced datasets , In Machine Learning: ECML 2004. Springer, pp. 39-50. Anderson R., 1999, The Credit Scoring Toolkit: Theory and Practice for Retail Credit Risk Management and Decision Automation

Open access
Corporate Governance of Banks in Poland and Slovenia

Abstract

This paper focuses on the analysis of the characteristics of corporate governance in banks in Poland and Slovenia between 2005 and 2013. It studies the impact of corporate governance in these banks on their performance. The results of our research show that Slovenia achieved lower average scores for the variables and indicators related to the transparency of corporate governance than Poland. The density of banks with the highest corporate governance index scores was higher in Poland than in Slovenia. When examining the impact of corporate governance on bank performance as measured with net interest income, the regression analysis showed that its impact is positive in both countries and that it is statistically significant in Slovenia.

Open access
Profitability as a business goal: the multicriteria approach to the ranking of the five largest Croatian banks

Profitability as a business goal: the multicriteria approach to the ranking of the five largest Croatian banks

Background: The ranking of commercial banks is usually based on using a single criterion, the size of assets or income. A multicriteria approach allows a more complex analysis of their business efficiency. Objectives: This paper proposes the ranking of banks based on six financial criteria using a multicriteria approach implementing a goal programming model. The criteria are classified into three basic groups: profitability, credit risk and solvency. Methods/Approach: Business performance is evaluated using a score for each bank, calculated as the weighted sum of relative values of individual indicators. Results: In the process of solving the corresponding goal programming problem, the weights are calculated. It is assumed that the goal of each bank is the highest profitability. Because of the market competition among banks, the weights of indicators depend on the performance of each bank. This method is applied to the five biggest Croatian banks (ZABA, PBZ, ERSTE, RBA and HYPO). Conclusion: For the observed period (2010), the highest priority is given to profitability and then to credit risk. The ranking is achieved by using a multicriteria model.

Open access
The Benchmarking Practices of the Economically Freest Countries in Europe and the World

Abstract

In our increasingly globalised economy, global competitiveness of countries and the means to measure it gain increasing significance. One of the ways to measure global competitiveness is by comparing an extent of the economic freedom that a country has, which also can, as surveys show, largely explain differences in living standards across the world. Seeing as how European economy is similar to most of the Western world capitalist economies in the sense that it has, for a number of reasons, very different economic policy traditions than many countries in other parts of the world, we may approach this topic from a European perspective; consequently, we can see that the main hypothesis of the work can be confirmed, and it is possible, for reasons based in economic or national image nature, to discern which is the freest of world economies by adopting the benchmarking practices of the continent. Nevertheless, the other hypothesis of the work does not fulfill itself, meaning that by adopting taxing policies of some of the wealthiest European Union economies it is not possible anymore to reach the result of the freest economy, both in the world and particularly Europe. Looking at the components and scores of the Index of Economic Freedom, it becomes apparent that the inclusion of government share components in its methodology is very controversial, similarly as the labour freedom component and even monetary freedom, albeit in lesser extent.

Open access
Performance Analysis and Benchmarking of Commercial Banks Operating in Bosnia and Herzegovina: a DEA Approach

Abstract

Background: During the last four years, the banking sector in Bosnia and Herzegovina has been facing crisis which has caused the stagnation within the sector. Still, the results within the sector vary to a great extent from bank to bank. Objectives: The efficiency score is assessed for each bank and serves as a basis for further comparisons between banks in the period between 2008 and 2010. Methods: A modified model of Data Envelopment Analysis (DEA) has been used in order to combine several financial indicators simultaneously in a unique efficiency measure. The model provides a rounded judgement on a bank's relative efficiency. Results: Efficiency of individual banks varied throughout the observed period and not all of the banks were a part of the negative banking sector trend induced by the crisis. There is no significant difference between performance of banks in different entities of Bosnia and Herzegovina, and between smaller and larger banks. Conclusions: The results of the study can be used by bank managers to assess the performance of their banks, as observing financial ratios separately can result in a misleading conclusion. The most valuable practical implications of the findings are the provided feasible targets for the three observed years.

Open access
Macroeconomic Factors in Modelling the SMEs Bankruptcy Risk. The Case of the Polish Market

Bibliography Agrawal K., Maheshwari Y., 2014, Default risk modelling using macroeconomic variables , Journal of Indian Business Research, vol. 6. Altman E.I., 1968, Financial ratios, discriminant analysis and the prediction of corporate bankruptcy , The Journal of Finance, vol. 23, no. 4, pp. 589-609. Bellotti A., Crook J., 2009, Credit scoring with macroeconomic variables using survival analysis , Journal of the Operational Research Society, no. 60(12), pp. 1699-1707. Bellovary J.L., Giacomino D.E., Akers M.D., 2007, A review of

Open access