摘要：The infectivity of viruses is affected by changes in temperature, and COVID-19, which causes coronavirus disease, is no exception. The stability of COVID-19 at temperatures close to normal core body temperature suggests scientists that temperature can play a particularly important role in the transmission and severity of COVID-19. The rapid spread of the COVID-19 outbreak globally had dramatic effects on the financial markets. An unprecedented risk perception occurred during the COVID-19 outbreak and caused investors to suffer significant losses and withdraw from the market. On the other hand, stock market returns react to big events. In this context, the purpose of the study is to measure the relationship between Covid-19 and some sub-indices of Borsa Istanbul and the effect of air temperature in this relationship. For this purpose, the data of 65 days as 10 March 2020-15 June 2020 were used in this study. In the study, the cointegration relationship between the variables was examined with Fourier ADL cointegration test. According to the results of Fourier ADL cointegration test, a long-term relationship between BISTtüm, BIST100, BIST30, BISTkimya, BISTulaştırma and BISTyiyecek indexes and case numbers was determined. However, the longterm relationship between the BISTturizm index and the number of cases could not be detected. Long-term coefficients were estimated by DOLS estimator, and according to the findings, there was a positive relationship between BISTtüm, BIST100, BIST30, BISTkimya and BISTyiyecek and the number of cases. The long-term coefficient between the BISTulaştırma index and the number of cases was found to be statistically insignificant. On the other hand, the moderator variable was proved to strengthen the relationship between the number of cases and BIST indices.
其他关键词：Borsa Istanbul, Temperature, Covid-19, Cointegration, Case Numbers
