Rating the reliability of banks has always been an important practical problem for businesses and the economic policy makers. The best way to do this is the CAMEL analysis. The aim of this paper was to create a bank-rating indicator from the five fields of the CAMEL analysis using two-two indicators for each field for the Turkish Islamic banking system. According to the results of the analysis, we could rank the Turkish Islamic banks. Beside the widespread use of the CAMEL analysis, we applied the Similarity Analysis as a new method. We compared the results from the two methods and came to the conclusion that the CAMEL analysis does not adequately provide a fairly shaded picture about the banks. The Component-based Object Comparison for Objectivity (COCO) method gave us the yearly results in time series form. The comparison of the time series data leads to the problem of deciding about what is more important for us – average, standard deviation or the slope. For handling this problem, we used Analytic Hierarchy Process, which gave weights to these indicators.
Fluctuating prices can cause unintended redistribution of income and wealth, which may be particularly painful to lower income households. Our study examines the indirect effects of this redistribution in an empirical way: it focuses on the capital market distortions of inflation and the disparities in wealth and income. Consumer Price Index (CPI) measures average inflation. However, households feel different inflation rates because their expenditure patterns are different from the ‘average’ patterns. We used the Kruskal – Wallis H test to determine if there are statistically significant differences between low- and high-income households. We calculated alternative inflation rates based on income deciles' different consumption basket. The study finds that households with low income often feel higher inflation than in the actual price indices published by the statistical offices. As our research shows, individuals in different wealth deciles perceive significantly different inflation. Our results also provide important information for economic policymakers, because if social groups perceive different inflation, it modifies the expected behaviour of the population, thereby weakening the economic policy effectiveness of different decisions.