Purpose - The study considers time-varying risk premium in investigating the capability of technical analysis (TA) to predict and outperform a buy-hold strategy in Bitcoin exchange rate returns. Design/methodology/approach - The study tests the technical trading rule of fixed moving average...

This paper explores price effects caused by the expiration of derivatives in the cryptocurrency market. Applying different statistical tests (ANOVA, Mann-Whitney, and t-tests) and econometric methods (the modified cumulative abnormal return approach, regression analysis with dummy variables, and...

This paper assesses the impact of US policy responses to the Covid-19 pandemic on various cryptocurrencies and also technology stocks using fractional integration techniques. More precisely, it analyses the behaviour of the percentage returns in the case of nine major coins (Bitcoin - BITC,...

This paper features an analysis of cryptocurrencies and the impact of the COVID-19 pandemic on their effectiveness as a portfolio diversification tool and explores the correlations between the continuously compounded returns on Bitcoin, Ethereum and the S&P500 Index using a variety of parametric...

This paper examines the dynamic conditional correlations among 10 cryptocurrencies and the possibility of hedging investment strategies among multiple cryptocurrencies over the period affected by COVID-19 from 2017 to 2022. After studying the relationship between Bitcoin, Ethereum, and the other...

This study analyzes the volatility spillover effects in the US stock market (S&P500) and cryptocurrency market (BGCI) using intraday data during the COVID-19 pandemic. As the potential drivers of portfolio diversification, we measure the asymmetric volatility transmission on both markets. We...

The proliferation of cryptocurrencies and the remarkable expansion of novel economic practices associated with them pose an unprecedented challenge to established norms of taxation and market regulation. Drawing on two years of fieldwork, surveys, as well as big data analysis of the most...

We examine the presence of outliers and time-varying jumps in the returns of four major cryptocurrencies (Bitcoin, Ethereum, Ripple, Dogecoin, Litecoin), and a broad cryptocurrency index (CCI30). The results indicate that only Bitcoin returns are contaminated with outliers. Time-varying jumps...

The success of Bitcoin has spurred emergence of countless alternative coins with some of them shutting down only few weeks after their inception, thus disappearing with millions of dollars collected from enthusiast investors through initial coin offering (ICO) process. This has led investors...

Can Bitcoin remain tamper proof in the long run? We use block-level data from the Bitcoin blockchain to estimate the impact of congestion and the USD price on fee rates. The introduction and adoption of the Segwit protocol allows us to identify an aggregate demand curve for bitcoin transactions....

We examine the dynamics of liquidity connectedness in the cryptocurrency market. We use the connectedness models of Diebold and Yilmaz (Int J Forecast 28(1):57-66, 2012) and Baruník and Křehlík (J Financ Econom 16(2):271-296, 2018) on a sample of six major cryptocurrencies, namely, Bitcoin...

Since the emergence of Bitcoin, cryptocurrencies have grown significantly, not only in terms of capitalization but also in number. Consequently, the cryptocurrency market can be a conducive arena for investors, as it offers many opportunities. However, it is difficult to understand. This study...

The financial-technology industry has recently attracted the attention of many sectors. The financial-technology industry designs new and unusual technological financial services in many areas. It combines technology with finance and provides an alternative to the traditional financial system....

Financial data are expensive and highly sensitive with limited access. We aim to generate abundant datasets given the original prices while preserving the original statistical features. We introduce the Wasserstein Generative Adversarial Network with Gradient Penalty (WGAN-GP) into the field of...

The People's Republic of China (PRC) has rapidly achieved a relatively high degree of financial inclusion (access of individuals to financial products and services) as a result of the development of various large-scale financial platforms using financial technology (fintech) to reduce the cost...

Building on an economic model of rational Bitcoin mining, we measured the carbon footprint of Bitcoin mining power consumption using feed-forward neural networks. We found associated carbon footprints of 2.77, 16.08 and 14.99 MtCO2e for 2017, 2018 and 2019 based on a novel bottom-up approach,...

We employed linear and nonlinear error correction models (ECMs) to predict the log returns of Bitcoin (BTC). The linear ECM is the best model for predicting BTC compared to the neural network and autoregressive models in terms of RMSE, MAE, and MAPE. Using a linear ECM, we are able to understand...

Digital transformation is provoking a real revolution in the payment's landscape of many economies in the last few years. New technologies and the change in public's habits are transforming not only the way payments are processed but the very modes of registering, storing and transferring value...

Chen et al. (2021) show that almost one-third of First Nations band offices in Canada are within 1 kilometre (km) of an automated banking machine (ABM) or financial institution (FI) branch and more than half are within 5 km. Further, over three-quarters of band offices are within 20 km of an ABM...

We study a model of financial intermediation, payment choice, and privacy in the digital economy. Cash preserves anonymity but cannot be used for more efficient online transactions. By contrast, bank deposits can be used online but do not preserve anonymity. Banks use the information contained...

Recently parallels have been drawn between Bitcoin and Yapese stone money. This article focuses on Fitzpatrick and McKeon’s (2019) exploration of similarities and differences. The analogy between Bitcoin and Yapese stone money is based on proposed commonalities that are inaccurate,...

In July 2021 the Eurosystem decided to launch the investigation phase of the digital euro project, which aims to provide euro area citizens with access to central bank money in an increasingly digitalised world. While a digital euro could offer a wide range of benefits, it could prompt changes...

The purpose of this article is to evaluate if cryptocurrencies that have robust technology and anonymous features can be the money of the future. In this study, the transition phases of paper money, which started to be used at the beginning of the 17th century, to bank money, then banknotes and...

Recent literature has addressed initial coin offering (ICO) projects, which are an innovative form of venture financing through cryptocurrencies using blockchain technology. Many features of ICOs remain unexplored, leaving much room for additional research, including the success factors of ICO...

This paper analyses the herding behaviour among exchanges around the expiration of bitcoin futures traded on the Chicago Mercantile Exchange (CME). The database extends from December 2017 to October 2020, taking as a reference the main exchanges that trade bitcoin (Binance, Bitfinex, Bitstamp,...

Private cryptocurrencies allow for payments without the need for a financial institution. These institutions, the central bank and retail banks, may thus observe a decline in the demand for their payments systems, i.e. cash and deposits. Using the monetary search model of Lagos and Wright...

The emergence of so-called "decentralised finance" (DeFi) and a shadow financial system of cryptocurrency exchanges and stablecoin issuers raises the challenge of how to apply technology-neutral regulation so that similar risks are subject to the same rules. This paper makes the case for...

We estimate the effect of Bitcoin ownership on the level of cash holdings of Canadian consumers. Bitcoin ownership positively correlates with cash holdings even after accounting for selection into ownership via a control function approach. On average, Bitcoin owners hold 83 percent (in 2018) to...