Investigation of Causality Relationships among COVID-19 Cases, ISE100 Index, Dollar, Euro, Gram Gold Prices and 2 Years Bond Rates: the Case of Turkey

The purpose of this research is to analyze such economic data during the outbreak of the covid-19 in turkey. the variable rates were taken from covid-19 situations, ise-100 index, turkish lira dollar (try), try euro prices, try gram gold and two year bond rates. general covid-19 information was provided and certain financial indicators were investigated in covid-19 (47 days). first of all, these variables were used as descriptive statistics and correlation matrix. for the purposes of stationarity testing, the first variables were stationary with augmented dickey-fuller and phillips-terron tests. the lag duration of the deployment model vecm was then calculated as the fourth lag with the highest information requirement. the co-integration relationship between the variables was calculated by the johansen cointegration test. thanks to this relationship, the variables have a long-term correlation. the vector fix model (vecm) was chosen because it is co-integration. inverse roots, autocorrelation and normality have been developed, which are essential assumptions to use the vecm (4) model; therefore, the granger causality / block exogeneity wald test was applied to the variables of the vecm(4) model to define causality relationships between these variables. the results of this test have identified causalities for turkey 2 years of government bond rates, euro in try, dollar prices in try and gram in try.