Özet:

The Covid-19 pandemic, which emerged in December 2019 in China for the first time, affected the whole world in a short while. The pandemic spread to all countries not only damaged human health but also led to the losses in the global economy as the restrictions placed on struggling with the outbreak have resulted in shrinking the world economy. In the meantime, different sectors have been affected differently by the economic situation in line with their own characteristics. In this context, the aim of the present study was to examine the effects of the Covid-19 pandemic crisis on the Food, Service, Technology, Wholesale-Retail Trade, Electricity, and Transportation sectors in the Borsa Istanbul (BIST) indice using time series analysis. In this direction, the impulse variable in the analysis consisted of the number of daily active cases for the period 17.03.2020–31.05.2022, and the response variables consisted of the BIST sector indices. To analyze the relationship between the variables, the ADF and Zivot-Andrews unit root tests were used and it was determined that the variables were stationary at the level. In order to determine the causality relationship between the variables, we ran the Granger Causality test based on the Vector Autoregressive (VAR) model. The findings revealed that there is a unidirectional Granger Causality relationship from the number of active cases to the Food, Service, Technology, Wholesale-Retail Trade, Electricity, and Transportation sectors, and also that these sectors respond differently to the change in the number of active cases.

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