The Relationships among Cryptocurrencies: A Granger Causality Analysis

Nadir Khan (), Muhammad Zohair Durrani (), Naila Mushtaq (), S M Nabeel ul Haq () and Babar Ijaz ()
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Nadir Khan: Assistant Professor, Institute of Management Sciences, University of Balochistan, Quetta, Pakistan
Muhammad Zohair Durrani: Assistant Professor, Department of Management Sciences, Balochistan University of Information Technology, Engineering and Management Sciences, Quetta, Pakistan
Naila Mushtaq: Lecturer, Department of Management Sciences, Sardar Bahadur Khan Women University, Quetta, Pakistan
S M Nabeel ul Haq: Assistant Professor, Department of Economics, Balochistan University of Information Technology, Engineering and Management Sciences, Quetta, Pakistan
Babar Ijaz: BS Scholar, Institute of Management Sciences, University of Balochistan, Quetta, Pakistan

iRASD Journal of Economics, 2022, vol. 4, issue 2, 264-274

Abstract: The topic of Cryptocurrencies is emerging rapidly. Many investors and public want to invest in digital currencies. So, the nature of cryptocurrency and its theoretical understanding is essential currently. The aim of this research is to study major Cryptocurrencies having capitalization above $1bn and construct directed networks. Eleven major Cryptocurrencies are Bitcoin (BTC), Ethereum (ETH), Cardano (ADA), Binance Coin (BNB), Tether (USDT), Ripple (XRP), Doge Coin (DOGE), USD Coin (USDC), Bitcoin Cash (BCH), Chainlink (Link) and Litecoin (LTC). By using returns Granger Causality test was conducted. This test help in concluding that whether change in one price of cryptocurrency cause a change in other Cryptocurrencies or not. After analysis of results, it was concluded that there is a variation in the Cryptocurrencies relation. Some shows a direct cause and effect relation, while some have a unidirectional relation. However, some of them also showed no meaningful relationship. The relationship among these Cryptocurrencies was then showed using directed networks.

Keywords: Cryptocurrencies; Granger causality; Unit root test; Directed networks (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:ani:irdjoe:v:4:y:2022:i:2:p:264-274

DOI: 10.52131/joe.2022.0402.0078

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