Studies in Economics and Finance: Volume 39 Issue 3

Guest editorial: Cryptocurrencies: current trends and future perspectives

Harald Kinateder, Tonmoy Choudhury

Predicting bitcoin price movements using sentiment analysis: a machine learning approach

Ikhlaas Gurrib, Firuz Kamalov

Cryptocurrencies such as Bitcoin (BTC) attracted a lot of attention in recent months due to their unprecedented price fluctuations. This paper aims to propose a new method for…

Mining netizen’s opinion on cryptocurrency: sentiment analysis of Twitter data

M. Kabir Hassan, Fahmi Ali Hudaefi, Rezzy Eko Caraka

This paper aims to explore netizen’s opinions on cryptocurrency under the lens of emotion theory and lexicon sentiments analysis via machine learning.

Is Bitcoin a safe haven? Application of FinTech to safeguard Australian stock markets

Muhammad Kamran, Pakeezah Butt, Assim Abdel-Razzaq, Hadrian Geri Djajadikerta

This study aims to address the timely question of whether Bitcoin exhibited a safe haven property against the major Australian stock indices during the first and second waves of…

Price efficiency and safe-haven property of Bitcoin in relation to stocks in the pandemic era

Natalia Diniz-Maganini, Abdul A. Rasheed

When investors experience extreme uncertainty, they seek “safe havens” to reduce their risk, to limit their losses and to protect the value of their portfolios. The purpose of…

Dynamic frequency relationships between bitcoin, oil, gold and economic policy uncertainty index

Samah Hazgui, Saber Sebai, Walid Mensi

This paper aims to examine the frequency of co-movements and asymmetric dependencies between bitcoin (BTC), gold, Brent crude oil and the US economic policy uncertainty (EPU…

Analysis of diversification benefits for cryptocurrency portfolios before and during the COVID-19 pandemic

Florin Aliu, Ujkan Bajra, Naim Preniqi

This study aims to investigate the diversification benefits attached to the crypto portfolios when combined with stocks, Forex instruments and commodity assets.

Time series prediction using machine learning: a case of Bitcoin returns

Irfan Haider Shakri

The purpose of this study is to compare five data-driven-based ML techniques to predict the time series data of Bitcoin returns, namely, alternating model tree, random forest…

Accounting for crypto-assets: stakeholders’ perceptions

Jun Heng Chou, Prerana Agrawal, Jacqueline Birt

The purpose of this paper is to analyse stakeholders’ perceptions on the accounting of crypto-assets. They also look at the need to amend/clarify existing accounting standards or…

Investor attention and cryptocurrency price crash risk: a quantile regression approach

Lee A. Smales

Motivated by the lure of cryptocurrencies for retail investors, whose concentrated holdings are particularly exposed to price crash risk, this paper aims to study the relationship…

Dissecting the stock to flow model for Bitcoin

Thibaut G. Morillon, Ryan G. Chacon

Perhaps the most popular pricing model among Bitcoin enthusiasts is the stock-to-flow (S2F) model. The model gained significant traction after successfully predicting the meteoric…

Cryptocurrencies’ hashrate and electricity consumption: evidence from mining activities

Christophe Schinckus, Canh Phuc Nguyen, Felicia Hui Ling Chong

Given the growing importance of cryptocurrencies and the technique called “SegWit” that allows to compile more transactions in a mined block, the electricity consumed per block…