This paper presents a multicriteria model for the bank performance evaluation. The model is based on the AHP method (Analytical Hierarchy Process), and it enables the integration of the quantitative data (measured by selected financial ratios) and qualitative data by which the bank features and some internal and external environment factors are described. The financial ratios used in the model are selected in accordance with the established results of the research on their correlation with different levels of the bank's efficiency, measured by means of Data Envelopment Analysis method. In the qualitative analysis, such features of the bank are used, which are usually included in specific analyses of the qualitative rating of banks, as well as in SWOT analysis, which is also used in the analysis of the business potential of a bank. The result of the evaluation of the sample of the Croatian banks by this model is presented.

The standard errors of the trend models for the entropy indexes are smaller, and coefficients of determination are higher for the quadratic compared to the linear trend models for both types of insurances, life and non-life. Since the forecasts' quality measures for both types of insurance show that the quadratic trend is superior compared to the simple linear trend model, it was used for short-term forecasting of the entropy indexes. The quadratic trend model gave forecasts showing digressive-progressive dynamics for non-life, and progressive-digressive for life insurance entropy indexes.

This paper analyses the relationship between bond market, macroeconomic fundamentals and a set of additional covariates in the Republic of Croatia, a small open economy with a very high and persistent level of euroization. The sample ranges from the year 2001 to 2017. Ordinary least squares regression is applied on the quarterly dataset to examine the major drivers of nominal yields of government bonds, whereas Multiple Breakpoint Tests are used to determine structural breaks in the variables. The results corroborate theoretical knowledge and suggest a significant effect of fiscal and financial determinants on bond yields. Variables presenting macroeconomic fundamentals explain a substantial part of Croatian trends. Therefore, policymakers seeking to improve macroeconomic conditions should learn from multi-causal studies involving these variables before setting their policies.

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