Tibor Tarnóczi

Nowadays, the banking system is undergoing significant changes. Digitalization that appears in Industry 4.0 also pioneers in the banking system, so we can also talk about Bank 4.0 as a new development direction. In this shift in the digital age, it becomes even more critical to examine the performance of banks. The case study approach was based on an attempt to diagnose the performance of a sample of local commercial banks in Qatar and Kuwait based on their financial statements for the period 2013–2017, and approve the existing accounting data as sources for the financial analysis process, by using essential financial analysis tools such as financial ratios. The output of the analysis was used to measure performance. All this is applicable when using the CAMELS rating model to evaluate the financial performance of the banking sector. The results show statistically significant differences between countries for four factors (Asset quality, Management efficiency, Earnings quality and Sensitivity) and none for the remaining two (Capital adequacy and Liquidity management) because the significant level is higher than 5%. However, the two factors with no significant differences are vital to the prudent operation of banks, mainly that Qatari banks perform better than Kuwaiti banks.

In today’s increasingly competitive markets, it is essential to be able to determine the position of a company as opposed to its competitors. Today the traditional financial ratios are most widely used to measure corporate performance, but more and more authors begin to criticize their use. It is difficult to use financial ratios as a complex measurement tool. It is crucial to use an appropriate method or tool to measure corporate performance, which can measure the company’s performance in a complex way represented by one indicator. In this study, the Data Envelopment Analysis (DEA) method is used, which is one of the potential tools available. Several researchers have used the DEA method to measure corporate performance. Many authors consider DEA as a useful tool for measuring corporate performance, while others criticize it. The authors analyze the performance of retail food companies in Hungary’s Northern Great Plain region. The companies analyzed were chosen from the region investigated, and they have “food retail grocery store” as their main activity, and they had six cleared annual reports in the period 2012–2017. There was a total of 887 companies in the region examined, and 563 (63.5%) met the conditions. The analysis was made using the time-series data of companies for 2012–2017 based on their financial reports, and the authors dealt with various possibilities for extending DEA, which can support its more accurate use. Based on evaluating the retail food companies’ performance in the Northern Great Plain region, one can state that the efficiency of companies shows a very mixed picture over the years examined. The study suggests solutions to the indicated problem. The findings indicate that the application of extended DEA methods gives better results; that is, one can get better estimates of the efficiency of companies.