What Does Bitcoin Look Like

By Jamal Bouoiyour, Refk Selmi. 2015

245 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/b7410adc691b805bab0129850b021d5285193f59

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Elie Bouri
2. Rangan Gupta
3. David Roubaud
4. Libing Fang
5. Qiang Ji
6. Mahamitra Das
7. Anamika
8. Anders Stensås

Citations in the corpus

• Can volume predict Bitcoin returns and volatility? A quantiles-based approach (2017, unknown): “Bouoiyour and Selmi (2015) illustrate the significant role of a lagged Google search for the word ‘Bitcoin’ in explaining the Bitcoin price, whereas the velocity of Bitcoin, measured by data transactions, fails to explain the Bitcoin price.”
• Network causality structures among Bitcoin and other financial assets: A directed acyclic graph approach (2018, background): “Bouoiyour and Selmi (2015) highlight the impact of the Chinese stock market on the Bitcoin market.”
• Does global economic uncertainty matter for the volatility and hedging effectiveness of Bitcoin? (2019, background): “Compared to conventional assets, Bitcoin is exposed and determined by a unique set of non-financial and non-economic variables that include social sentiment (Kristoufek, 2015; Bouoiyour and Selmi, 2015; Polasik et al., 2015), energy prices (Hayes, 2017), user anonymity (Ober et al.”
• Can Bitcoin be a diversifier, hedge or safe haven tool? (2019, background): “Thus, cyber-attacks could play a destabilizing role in the Bitcoin system (Bouoiyour & Selmi, 2015).”
• The economics of BitCoin price formation (2014, background): “…affecting BitCoin price have been identified in the previous literature: (i) market forces of BitCoin supply and demand (Buchholz et al. 2012; Bouoiyour and Selmi 2015); (ii) BitCoin attractiveness for investors (Kristoufek 2013; Bouoiyour and Selmi 2015); and (iii) global macro-financial…”
• Virtual Relationships: Short- and Long-run Evidence from BitCoin and Altcoin Markets (2017, background): “The EUR/USD exchange rate data are extracted from the European Central Bank, while the USD/CNY exchange rate from the Federal Reserve Bank of St. Louis (Table 4).”
• Spillovers between Bitcoin and other assets during bear and bull markets (2018, methodology): “Our results also were somewhat consistent with those of Bouoiyour and Selmi (2015) and Kristoufek (2015), who stressed the close association between Bitcoin and the Chinese stock market.”
• Does Sentiment Impact Cryptocurrency? (2021, background): “Bouri et al. (2017a) reported that Bitcoin acts as a strong hedge against Japanese and Asia-pacific stocks’ movements. Sarwar (2017) investigated the impact of uncertainty on the stock market.”