Özet:

The aim of this study is to analyze the mutual sensitivity and interaction degrees of oil prices with BIST100, BIST Industry, BIST Chemistry, Petroleum & Plastic, Dollar/TL, interest rate variables. The period 2005:01-2020:06 was used by the Vector Autoregression (VAR) method using monthly data. The relationship between the VAR method and the variables has been tested. Also, the dynamic relationships between the variables have been tried to be determined through the variance division and the influence-up function over the course of a decade. According to the empirical findings obtained from the study, the BIST100 index has identified a one-way causal relationship to the crude oil, the interest rate, the BIST Industry and the BIST Kim, the Petroleum & Plastic index. The study also identified a causal relationship between BIST Kim, Petroleum & Plastic Index and the Dollar/TL and the interest rate variable. According to the variance differentiation results, BIST100 and BISTChemistry have found that the variance of the Petroleum & Plastic variants has significantly changed by the variants themselves. The most explaining variable of the BIST Industry Index is the BISTChemistry, Petroleum & Plastic Index.

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