This research used the latest statistical tool ADANCO 1.1.1 by Henseler and Dijkstra (2015) to analyze the data collected by building a partial least squares structural equation model (PLS-SEM). The key variables studied are Regulation or lack of it around Bitcoin, Bitcoin Technology, Bitcoin Economy and the usage of Bitcoin as a Currency. The rise of crypto-currencies will add a new dimension to this challenge for US Dollar (USD) The focus of this study is to understand multiple factors which are translating Bitcoin (BTC) that is gaining momentum in various fields of global finance and how disruptive it can be, including replacing main fiat currencies in the financial system impacting mainly USD. Not only it will revolutionize the way payments are made, but also have potential to impact the future of world currencies like USD, which is already facing challenges from EURO or Chinese Yuan Renminbi (CNY).
Paper currency is bound to be a thing of past, as virtual currencies will start taking over and Bitcoin is well poised to achieve this feat. In an era of technology advancement when the entire world is talking about the " Internet of Things " whereby we are expected to have connectivity between anything and everything, Currency cannot be left behind.
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Lastly, error-correction models for Bitcoin, Etherem, Dash, Litcoin, and Monero show that cointegrated series cannot drift too far apart, and converge to a long-run equilibrium at a speed of 23.68%, 12.76%, 10.20%, 22.91%, and 14.27% respectively.
Third, SP500 index seems to have weak positive long-run impact on Bitcoin, Ethereum, and Litcoin, while its sign turns to negative losing significance in short-run, except Bitcoin that generates an estimate of -0.20 at 10% significance level. In other words, it travels slowly within the market. This indicates that formation (recognition) of the attractiveness of cryptocurrencies are subjected to time factor. Second, attractiveness of cryptocurrencies also matters in terms of their price determination, but only in long-run. First, cryptomarket-related factors such as market beta, trading volume, and volatility appear to be significant determinant for all five cryptocurrencies both in short- and long-run.
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The study employs ARDL technique and documents several findings. The Secret 20 Bitcoin Blueprint - The Daily Coin The Secret 20 Bitcoin Blueprint - Blogger The Secret 20 Bitcoin Blueprint - Bitcoinmovement Secret 20 Bitcoin Blueprint Proue Alpha Downloaded from by guest BRIANNA DIAZ Secret 20 Bitcoin Blueprint ProueThe Secret 20 Bitcoin Blueprint claims to teach you how to become a. This paper examines factors that influence prices of most common five cryptocurrencies such Bitcoin, Ethereum, Dash, Litecoin, and Monero over 2010-2018 using weekly data.
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