This study investigates the dynamics and spillovers between international monetary policy, between cryptocurrencies and across the two using daily data for four major economies (Eurozone, Japan, UK and US) and three key cryptocurrencies (Bitcoin, Litecoin and Ripple) over the period August 5,...

This paper examines the connectedness between Bitcoin and commodity volatilities, including oil, wheat, and corn, during the period Oct. 2013-Jun. 2018, using time- and frequency-domain frameworks. The time-domain framework's results show that the connectedness is 23.49%, indicating a low level...

Cryptocurrencies are currently traded worldwide, with hundreds of different currencies in existence and even more on the way. This study implements some statistical and machine learning approaches for cryptocurrency investments. First, we implement GJR-GARCH over the GARCH model to estimate the...