Abstract:

In the globalized world, have now gained different dimensions. In today’s business world where the boundaries have disappeared, want to grow, develop and provide a competitive advantage by increasing their market shares. Businesses move in this direction and make decisions. They need some indicators in seeing whether these decisions are made at the targeted level. Businesses see the effectiveness of their decisions by looking at their performance. The aim of our study is to evaluate the financial performance of using data coverage analysis (VZA), which is one of the non-parametric methods. For this purpose, from the last year of the 2011-2015 period, the financial activities of the BIST SINAI Index companies in the BIST 100 Index have been evaluated using data coverage analysis (VZA), which is one of the non-parametric methods. The analysis included 30 companies that were included in the BIST SINAI Index as of 2015. In this context, the input set required for the method is made up of the search rate, stock turnover rate, receiving turnover rate, financial lift rate and financing rate; the output set includes the PD/DD, ROA, ROE and price profit rate variables. The analysis of the appropriate data covering method entered according to the scale-oriented variable returned model (BCC) was selected and the financial performance assessment was made. As a result, effective and uneffective companies have been identified over the years. In addition, the potential improvement rates are also calculated necessary for the non-active companies to become effective.The non-active companies have been found to reach the group of effective companies in the event of lowering their high search rates, less resource allocation to their stocks, reducing their Financial Lift Rate values, profitability values and strategies that increase the stock prices.