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• I exploit the relationship between the S&P500 and DAX stock indices and the cryptocurrency markets of Bitcoin and Ethereum, using a dataset that comprehends daily price variations between 2017 and 2022.
• mpulse Response Function
• Vector Autoregressive methods were used in order to model the time series, allowing for the study of Granger causality relations and perform Impulse Response Functions. A triangular VAR-GARCH model is also estimated to further incorporate heteroskedasticity in the series
• Besides similar stationarity paths in both samples which may be suspected from figure 9, there are distinct results in Autocorrelation Function (ACF) plots.
• his is an outcome not expected by the literature as the returns may display correlation close to zero in different days

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