The banking sector, it is possible to say that the countries affected by the economic indicators. In order to show the existence of this effect in an econometric way with the help of real data, in this study, banking sector data and economic indicators will be compared and evaluated. In this context, firstly, banking sector data will be subjected to performance evaluation with Gray Relational Analysis method. Then again, the performance results obtained will be compared with the rate of inflation and growth. Gray Relational Analysis is performed using the methods we have applying variable in this study were collected in five main groups. These main groups are; It is differentiated into Capital Adequacy, Asset Quality, Liquidity, Profitability and Income Expense Structure. Fifteen sub-variables belonging to these five groups were determined and these criteria were used as analysis criteria. Also in the study, the period of 2002-2018 was considered as the analysis period. The reason that existed in the country is in economic activity is to evaluate the results of the changes occurring in the banking sector. As a result of the evaluation, it is seen that the performance of the sector increased when there was a decrease in economic growth when the inflation rate increased in general. Considered in this context, the structure of the sector, while economic growth is directly proportional to the structure of the sector as a result of the inflation rate is inversely proportional.
Turkish Banking Sector, Inflation, Economic Growth, Gray Relational Analysis Method.