Analysis of volatility spread between dollar rate and oil prices and selected BIST indices using DCC-GARCH model

In this study, it is aimed to investigate the existence of volatility interaction between Dollar/TL exchange rate, oil price index and selected Borsa Istanbul (BIST) sector indices, and if there is an interaction, it is aimed to determine and interpret how it affects. It is analyzed whether the parameters expressing the volatility persistence have a permanent effect at the statistical significance level and at the level of significance. In the study, in which daily closing prices of the data of XMEYS, XSUIN, XTEKS, XTRZM, XULAS, XGIDA, and XU100, which are Borsa Istanbul (BIST) sector index variables, were used between 01.02.2015 and 28.02.2022, the multivariate GARCH model DCC was used to investigate the volatility interaction. The multivariate GARCH model was analyzed using DCC-GARCH models in volatility interaction research,In the analysis, the return series of the variables were used. While analyzing with the DCC GARCH model, the variables are examined as binary groups. The main reason for taking it in binary is to prevent the oversize problem from occurring. According to the results of the DCC-GARCH model, it is observed that there is a mutual volatility interaction with the shock effect that increases the volatility. It is observed that volatility clusters are densely formed in the dollar/TL exchange rate and oil price indices, and volatility has a permanent effect in this market. On the other hand, it is understood that volatility clusters are formed in XMEYS, XSUIN, XTEKS, XTRZM, XULAS, XGIDA, XU100 sector indices traded in Borsa Istanbul and volatility has a permanent effect in these indices.