Bitcoin has received much attention in the media and by investors in recent years, although there remains scepticism … and a lack of understanding of this cryptocurrency. We add to the literature on Bitcoin by studying the market efficiency … of Bitcoin. Through a battery of robust tests, evidence reveals that returns are significantly inefficient over our full …

Due to counterparty risks, some Bitcoin trading platforms allow users to rate the level of trust they have in others …. We examine users' feedback behaviour on two Bitcoin trading platforms and provide statistically strong evidence that the … feedback behaviour of Bitcoin users is dependent on how they are rated themselves, that is, they retaliate. In addition, user …

investment strategies applied to Bitcoin. Our bubble model is defined as a geometric Brownian motion combined with separate crash …-free asset. Using our bubble model on Bitcoin from 8-Jul-2013 until 19-Dec-2017 would have generated a CAGR of 140% with a … maximum drawdown of 69% giving a Calmar Ratio of 2.03. It would have moved out of Bitcoin gradually since 25-Apr-2017 to be …

Volatility and investor sentiment have been factors for the slow adoption rate of Bitcoin (BTC) that was first … model analysis. The findings of this research paper confirm Bitcoin’s cyclical performance between volatility and adoption … purpose of this applied mathematics study will use a multivariate DCC GARCH model. Bitcoin holds its ground in volatility …

significant environmental externalities created by Proof-of-Work (PoW) cryptocurrencies, the most prominent of which is Bitcoin … finally discuss feasible mechanisms to regulate them. Latest estimates show that Bitcoin mining consumes roughly the same … externalities are Bitcoin’s electricity-intensive consensus protocol and Bitcoin prices, which directly influence mining incentives …