This article’s motivation is to understand the volatile Bitcoin price increase. The objective is to develop price … 2021 Bitcoin data. The findings are that Gompertz growth fits the damped oscillations and lengthening cycles well, and … by focusing on the fluctuations. Central banks should adjust the money supply while acknowledging. Bitcoin competition …

cryptocurrencies with an emphasis on the most popular cryptocurrency called Bitcoin. We elaborate on the main differences between the …

the way. This study implements some statistical and machine learning approaches for cryptocurrency investments. First, we … capitalization: Bitcoin, Bitcoin Cash, Bitcoin SV, Chainlink, EOS, Ethereum, Litecoin, TETHER, Tezos, and XRP. Then, we use Monte …

This study analyzes forecasts of Bitcoin price using the autoregressive integrated moving average (ARIMA) and neural … network autoregression (NNAR) models. Employing the static forecast approach, we forecast next-day Bitcoin price both with and …-sample periods. Despite the sophistication of NNAR, this paper demonstrates ARIMA enduring power of volatile Bitcoin price prediction. …

The paper investigates whether Bitcoin is a good predictor of the Standard & Poor's 500 Index. To answer this question … Model Selection (DMS). According to our results, Bitcoin does not show any direct impact on the predictability of Standard …