Exploring the nexus between price and volume changes in the cryptocurrency market

  • Adeyinka Adediran*
  • , Bola Babajide
  • , Nataliia Osina
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The price-volume relationship provides insight into the structure of the financial markets, and investors or market participants can use the data obtained from price and volume to draw inferences. This concept has extensively been studied in the stock market, while it remained understudied in the cryptocurrency trading system. The study aims to contributing to the literature by examining the causal relationship between price changes and trading volume for the top three cryptocurrencies (Bitcoin, Ethereum and Tether) listed on CoinMarketCap. Previous research that examined causal relationship focused on Bitcoin and Ethereum, while neglecting Tether, which is often used by investor to avoid price volatility. The study employs correlation matrix, vector autoregression Model, and granger causality to conduct the analysis of the research. The data for this study was extracted from CoinMarketCap, which provides the daily closing price and 24 hours traded volume of the top three cryptocurrencies from January 1, 2016 to December 31, 2021. The outcome of the preliminary study suggested that there is a positive significant price-volume relationship for Bitcoin and Ethereum, while there is a negative relationship for Tether. Furthermore, the study exhibits that there is a unidirectional causality between price return and volume change of Bitcoin and Ethereum, while there is no evidence of causality for Tether. Therefore, the empirical results establish the reliability of variable forecasting, empowering market participants and investors to make informed investment decisions.
Original languageEnglish
Pages (from-to)498–512
JournalJournal of Asset Management
Volume24
Early online date12 Aug 2023
DOIs
Publication statusPublished - Oct 2023

Keywords

  • Bitcoin · Correlation · Cryptocurrency market · Granger causality · Price return · Vector autoregression · Volume changes

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