Cryptocurrencies and the Denationalization of Money

Fantacci, Luca

doi:10.1080/08911916.2019.1624319

Cited by 26 publications

(10 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Hayek's proposal had a great impact among professionals, and gave rise to heated debates on monetary questions (cf. Howard 1977;Friedman and Schwartz 1987;Issing, White and Vaubel 2000;Kelsey 2003;Ferris and Galbraith 2006;Endres 2009;Luther 2013;Fantacci 2019).…”

Section: Context and Main Ideas Of Denationalization Of Moneymentioning

confidence: 99%

Hayek and the cryptocurrency revolution

Bas

2020

IJHE

View full text Add to dashboard Cite

The emergence of cryptocurrencies has been one of the most notable monetary phenomenon of the last decade. Many academics and analysts have found a clear precedent to this event in Friedrich Hayek's latest monetary work, Denationalization of money. The aim of this article is to analyze what we can learn about cryptocurrencies by re-reading this book. As will be proven, Hayek would surely have rejected the idea that Bitcoin and cryptocurrencies with similar characteristics could be accepted as money in the market. Furthermore, this paper will prove that a very close connection between Stablecoins and private money exists, following the Austrian economist’s predictions in a context of monetary competition.

show abstract

Section: Context and Main Ideas Of Denationalization Of Moneymentioning

confidence: 99%

Hayek and the cryptocurrency revolution

Bas

2020

IJHE

View full text Add to dashboard Cite

show abstract

“…The large contribution of unmanaged inflation is the result of the creation from conventional system implementation policies which have a negative impact on the value of money (Pažický, 2018;Ffrench-Davis& Griffith-Jones, 2019;Jin, Mendis & Sutherland, 2019). The character that is formed by the enforcement of conventional economic system is that the value of money has a low resistance, because of inflation often causes the crisis that will lead to the decreasing value of money and it could happen continuously (Huber, 2016;Skidelsky, 2018;Cossiga, 2019;Fantacci, 2019).…”

Section: Introductionmentioning

confidence: 99%

The View of the Experts on the Currency Depreciation of Cash Waqf Value

Amalia¹

2020

JES

View full text Add to dashboard Cite

This study aims to analyze the view of the experts on the currency depreciation of cash waqf value. This research was decriptive qualitatif, the method of collecting data done by documentation and an interview. The data analysis used was content analysis. The result of this study found that the experts all agreed that the risk of decreasing currency value will have an impact on the value of cash waqf.

show abstract

“…The growth of virtual currencies (Baronchelli 2018) has fueled interest from the scientific community (Barrdear and Kumhof 2016;Dwyer 2015;Bohme et al 2015;Casey and Vigna 2015;Cusumano 2014;Krafft et al 2018;Rogojanu and Badeaetal 2014;White 2015;Baek and Elbeck 2015;Bech and Garratt 2017;Blau 2017;Dow 2019;Fama et al 2019;Fantacci 2019;Malherbe et al 2019). Cryptocurrencies have faced periodic rises and sudden dips in specific time periods, and therefore the cryptocurrency trading community has a need for a standardized method to accurately predict the fluctuating price trends.…”

Section: Introductionmentioning

confidence: 99%

A Gated Recurrent Unit Approach to Bitcoin Price Prediction

Dutta¹,

Kumar

Basu³

2019

SSRN Journal

View full text Add to dashboard Cite

In today's era of big data, deep learning and artificial intelligence have formed the backbone for cryptocurrency portfolio optimization. Researchers have investigated various state of the art machine learning models to predict Bitcoin price and volatility. Machine learning models like recurrent neural network (RNN) and long short-term memory (LSTM) have been shown to perform better than traditional time series models in cryptocurrency price prediction. However, very few studies have applied sequence models with robust feature engineering to predict future pricing. In this study, we investigate a framework with a set of advanced machine learning forecasting methods with a fixed set of exogenous and endogenous factors to predict daily Bitcoin prices. We study and compare different approaches using the root mean squared error (RMSE). Experimental results show that the gated recurring unit (GRU) model with recurrent dropout performs better than popular existing models. We also show that simple trading strategies, when implemented with our proposed GRU model and with proper learning, can lead to financial gain.

show abstract

Cryptocurrencies and the Denationalization of Money

Cited by 26 publications

References 7 publications

Hayek and the cryptocurrency revolution

Hayek and the cryptocurrency revolution

The View of the Experts on the Currency Depreciation of Cash Waqf Value

A Gated Recurrent Unit Approach to Bitcoin Price Prediction

Contact Info

Product

Resources

About