Bitcoin intraday time series momentum

Dehua Shen, Andrew Urquhart, Pengfei Wang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This study examines intraday time series momentum in Bitcoin. Unlike stock markets, Bitcoin trades 24 h a day and therefore has not got a clear opening and closing period. Therefore, we use trading volume as a proxy for the market trading time and show that the first half-hour positively predicts the last half-hour return. We find that the first trading sessions with the highest volume or volatility are associated with the greatest predictability for intraday time series momentum. We also show that intraday momentum-based trading yields substantial economic gains in terms of market timing and asset allocation, especially in periods of a market downturn in Bitcoin. Consistent with the finding in foreign exchange markets, our results also show that the Bitcoin intraday momentum is driven by liquidity provision rather than late-informed trading.
Original languageEnglish
Pages (from-to)319-344
Number of pages26
JournalFinancial Review
Volume57
Issue number2
Early online date26 Oct 2021
DOIs
Publication statusPublished - May 2022

Keywords

  • bitcoin
  • cryptocurrencies
  • intraday predictability
  • liquidity provision
  • time series momentum

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