As Ethereum and Bitcoin dominate the cryptocurrency market, their investors are concerned about each possibility of market price movements. The study aims to analyze the market price of these two cryptocurrencies and their respective volatility. Generalized Auto Regressive Conditional Heteroskedasticity (GARCH) is a model that excels in modelling volatility of a price-based time series. This research utilized the daily prices of Ethereum and Bitcoin. GARCH (1,1) model is applied as it is the most accurate model compared to the other GARCH (p,q) model. Based on the findings, this study concludes that Ethereum's volatility is more likely to persist in the long run than Bitcoin. However, for the short run, Ethereum's volatility is less persistent as compared to Bitcoin. Thus, Ethereum is much more profitable in the long run as compared to Bitcoin meanwhile Bitcoin is much more profitable in the short run.

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