Covid-19 Salgınının Borsa İstanbul’da İşlem Gören Bilişim Sektörü Şirketlerinin Finansal Performansına Etkisinin Veri Zarflama Analizi ile Değerlendirilmesi

Abstract

Epidemic etc. changing conditions affect human as well as companies with legal entities that are based on human. This effect also affects the periodical data of the companies and the financial ratios obtained from these data. Data Envelopment Analysis is a non-parametric analysis method based on linear modeling. In this method, it is aimed to measure the relative efficiency of decision making units (DMU) that produce homogeneous outputs by using homogeneous inputs. In this thesis, how the financial performance based efficiencies of companies in the information technology sector traded in BIST were affected by the Covid-19 epidemic, which affects many sectors positively or negatively, is examined. In addition, it is aimed to investigate the effect of the Covid-19 epidemic on the periodical efficiency average by determining the periods with the highest and lowest average efficiency from quarterly periods between 2019:03 and 2021:06 in terms of financial performance efficiency. By using Window Analysis, the periodical efficiency averages were compared, the general trend of the companies was examined according to the average efficiency of each window for each of the company and the average efficiency of the companies were compared with the general average. As a result, due to inevitable changing situations such as epidemics affect the countries; it is aimed that this thesis will shed light on both the comparison and evaluation studies for the informatics sector and similar studies for other sectors to be made in our country in the future.