Correction: Buzz Factor or Innovation Potential: What Explains Cryptocurrencies' Returns?

Wang, Sha; Vergne, Jean-Philippe

doi:10.1371/journal.pone.0177659

Cited by 18 publications

(8 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Less government intervention might also provide them with extra premium. (2) The more perceived value of Bitcoin the people perceive, the more government intervention people would prefer; however, the degree of the impact is less than the above situation (Wang & Vergne, 2017).…”

Section: Resultsmentioning

confidence: 99%

“…4. Less restriction and supervision of exchange (PV t, 4 ): the exchange of Bitcoin is not constrained or monitored by the government (politically-motivated) (Wang & Vergne, 2017;Chuen, 2015;Yermack, 2015;European Central Bank, 2012).…”

Section: The Hypothesis and Methodsmentioning

confidence: 99%

“…A number of scholars, as Chuen (2015), Dostov and Hust (2014), Polasik, Piotrowska, Wisniewski, Kotkowski, and Lightfoot (2015), Sauer (2016), Vovchenko et al (2017), Wang and Vergne (2017), considered the mechanics and classification of Bitcoin as the electronic currency or payment instruments. Particularly, Harwick (2016) termed Bitcoin not just as a medium of indirect exchange, but also as the supplanter of the existing regime of fiat currencies because of its portability, durability, divisibility, security, liquidity, salability, and stability of the value.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The impact on people’s holding intention of bitcoin by their perceived risk and value

Huang

2019

Economic Research-Ekonomska Istraživanja

View full text Add to dashboard Cite

This article has developed a structural equation model, aimed at evaluating the impact factors on people's holding intention of Bitcoin, a cryptocurrency created by the Blockchain technology. Specifically, this study directs its attention on the Bitcoin holder's perceived value and risk, the moderating effects of gender, income, age, and the experience of digital token provided by the respondents. The conclusions are: (1) The majority of individuals do not have any understanding of the values or risks of Bitcoin; (2) The more transaction and speculative risks of Bitcoin people perceive, the less government intervention they are expected to have. Nevertheless, even if government intervention is necessary, it would not impact their holding intention; (3) The higher value of Bitcoin people perceive, the more government intervention people would prefer. Despite this preference, people's holding intention remains intact. However, its degree of influence is definitely less conspicuous than the above effect of the second conclusion; and (4) The government advocacy about the values and risks of Bitcoin should be differentiated by the more nuanced factors such as gender, income, the experience of digital token usage, and age of users, in order to obtain an effective regulation of Bitcoin.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: The Hypothesis and Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The impact on people’s holding intention of bitcoin by their perceived risk and value

Huang

2019

Economic Research-Ekonomska Istraživanja

View full text Add to dashboard Cite

show abstract

“…A different yet promising approach to the study cryptocurrencies consists in quantifying the impact of public opinion, as measured through social media traces, on the market behaviour, in the same spirit in which this was done for the stock market [67]. While it was shown that social media traces can be also effective predictors of Bitcoin [68][69][70][71][72][73][74] and other currencies [75] price fluctuations, our knowledge of their effects on the whole cryptocurrency market remain limited and is an interesting direction for future work.…”

Section: Discussionmentioning

confidence: 99%

Machine Learning the Cryptocurrency Market

et al. 2018

View full text Add to dashboard Cite

Machine learning and AI-assisted trading have attracted growing interest for the past few years. Here, we use this approach to test the hypothesis that the inefficiency of the cryptocurrency market can be exploited to generate abnormal profits. We analyse daily data for 1, 681 cryptocurrencies for the period between Nov. 2015 and Apr. 2018. We show that simple trading strategies assisted by state-of-the-art machine learning algorithms outperform standard benchmarks. Our results show that nontrivial, but ultimately simple, algorithmic mechanisms can help anticipate the short-term evolution of the cryptocurrency market.

show abstract

“…Blockchain is a decentralised transaction and data management technology developed first for Bitcoin [12]. The authors [13] reinforce that the term cryptocurrency can be seen either as currency or as a 'synthetic commodity money', which 'resembles fiat money in having no nonmonetary value (but also) resembles commodity money in being not just contingently but absolutely scarce' [14]. Online and social media factors are currently related to the time intervals of cryptocurrency prices; thus it was observed 'that cryptocurrencies are prone to experience intervals of bubble-like price growth' [15].…”

Section: Blockchain and Cryptocurrenciesmentioning

confidence: 99%

Cryptocurrencies in the Ludic Economies: The Case of Contemporary Game Cultures

Mataruna-Dos-Santos¹,

Wanick²

2019

Blockchain and Cryptocurrencies

View full text Add to dashboard Cite

Games have their own economic models. Today, players can not only collect digital currencies, but they can also use real currencies to buy virtual goods. Business models in games such as freemium and in-app purchases, for example, sustain this structure. Within this context, there is also the expansion of models outside the game realm like eSports, which happens in the form of tournaments. With this, there is constant exchange of value that emerges from games, which could also include the use of cryptocurrencies. In this chapter, we give an overview of the current state of the art of economic models within games and eSports. The current chapter aims to situate and analyse the application of these business models derived from games, e-sport and the future of ludic economies.

show abstract

Correction: Buzz Factor or Innovation Potential: What Explains Cryptocurrencies' Returns?

Cited by 18 publications

References 1 publication

The impact on people’s holding intention of bitcoin by their perceived risk and value

The impact on people’s holding intention of bitcoin by their perceived risk and value

Machine Learning the Cryptocurrency Market

Cryptocurrencies in the Ludic Economies: The Case of Contemporary Game Cultures

Contact Info

Product

Resources

About