Shen, D., Urquhart, A.
ORCID: https://orcid.org/0000-0001-8834-4243 and Wang, P.
(2022)
Bitcoin intraday time-series momentum.
Financial Review, 57 (2).
pp. 319-344.
ISSN 1540-6288
doi: 10.1111/fire.12290
Abstract/Summary
This study examines intraday time-series momentum in Bitcoin. Unlike stock markets, Bitcoin trades 24 hours 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 foreign exchange markets in Elaut et al. (2018), we also show that the intraday momentum is driven by liquidity provision not late-informed trading.
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| Item Type | Article |
| URI | https://reading-clone.eprints-hosting.org/id/eprint/100181 |
| Identification Number/DOI | 10.1111/fire.12290 |
| Refereed | Yes |
| Divisions | Henley Business School > Finance and Accounting |
| Publisher | Wiley |
| Download/View statistics | View download statistics for this item |
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