IDEAS home Printed from https://ideas.repec.org/a/bla/finrev/v61y2026i2p435-449.html

Price Discovery in Bitcoin ETF Market

Author

Listed:
  • Kiana Kia
  • Bo Liu
  • Qian Li
  • Victor Song
  • Ke Xu

Abstract

In this study, we explore price discovery across the following three Bitcoin markets: spot, futures, and exchange‐traded funds (ETFs). Employing the fractionally cointegrated vector autoregressive (FCVAR) model, we estimate price discovery in each market using minute‐level price data from October 19, 2021, the launch date of the first US Bitcoin futures‐based Bitcoin ETF, to December 30, 2022. The trivariate FCVAR analysis reveals that the three markets are pairwise cointegrated. In the spot‐futures pair, the spot market emerges as the dominant force in price discovery, while in the spot–ETF pair, the ETF market assumes a leading role. Our paper is the first to show the importance of the newly introduced Bitcoin ETF market in the price discovery process. Extending the analysis to the more recent period, we find that the approval of spot‐based Bitcoin ETFs has weakened the price discovery contribution of the futures‐based ETF and Bitcoin spot market has since become the dominant venue for price discovery.

Suggested Citation

  • Kiana Kia & Bo Liu & Qian Li & Victor Song & Ke Xu, 2026. "Price Discovery in Bitcoin ETF Market," The Financial Review, Eastern Finance Association, vol. 61(2), pages 435-449, May.
  • Handle: RePEc:bla:finrev:v:61:y:2026:i:2:p:435-449
    DOI: 10.1111/fire.70026
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/fire.70026
    Download Restriction: no

    File URL: https://libkey.io/10.1111/fire.70026?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Søren Johansen & Morten Ørregaard Nielsen, 2012. "Likelihood Inference for a Fractionally Cointegrated Vector Autoregressive Model," Econometrica, Econometric Society, vol. 80(6), pages 2667-2732, November.
    2. Madhavan, Ananth N., 2016. "Exchange-Traded Funds and the New Dynamics of Investing," OUP Catalogue, Oxford University Press, number 9780190279394.
    3. Oliver Entrop & Bart Frijns & Marco Seruset, 2020. "The determinants of price discovery on bitcoin markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(5), pages 816-837, May.
    4. Xu, Ke & Stewart, Kenneth G. & Cao, Zeyang, 2022. "Fractional cointegration and price discovery in Canadian commodities," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    5. Hasbrouck, Joel, 1995. "One Security, Many Markets: Determining the Contributions to Price Discovery," Journal of Finance, American Finance Association, vol. 50(4), pages 1175-1199, September.
    6. Johansen, Søren & Nielsen, Morten Ørregaard, 2016. "The Role Of Initial Values In Conditional Sum-Of-Squares Estimation Of Nonstationary Fractional Time Series Models," Econometric Theory, Cambridge University Press, vol. 32(5), pages 1095-1139, October.
    7. Itzhak Ben‐David & Francesco Franzoni & Rabih Moussawi, 2018. "Do ETFs Increase Volatility?," Journal of Finance, American Finance Association, vol. 73(6), pages 2471-2535, December.
    8. Dirk G. Baur & Thomas Dimpfl, 2019. "Price discovery in bitcoin spot or futures?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(7), pages 803-817, July.
    9. Duffy, John & Rabanal, Jean Paul & Rud, Olga A., 2021. "The impact of ETFs in secondary asset markets: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 674-696.
    10. Dolatabadi, Sepideh & Nielsen, Morten Ørregaard & Xu, Ke, 2016. "A fractionally cointegrated VAR model with deterministic trends and application to commodity futures markets," Journal of Empirical Finance, Elsevier, vol. 38(PB), pages 623-639.
    11. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    12. Lin, Chu-Bin & Chou, Robin K. & Wang, George H.K., 2018. "Investor sentiment and price discovery: Evidence from the pricing dynamics between the futures and spot markets," Journal of Banking & Finance, Elsevier, vol. 90(C), pages 17-31.
    13. Carol Alexander & Jaehyuk Choi & Heungju Park & Sungbin Sohn, 2020. "BitMEX bitcoin derivatives: Price discovery, informational efficiency, and hedging effectiveness," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(1), pages 23-43, January.
    14. Luca J. Liebi, 2020. "The effect of ETFs on financial markets: a literature review," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 34(2), pages 165-178, June.
    15. Dahud Kehinde Shangodoyin & Raghunath Arnab & Oluokun Kasali Agunloye, 2014. "Lag Length Specification in Engle-Granger Cointegration Test: A Modified Koyck Mean Lag Approach Based on Partial Correlation," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 15(4), pages 559-572, September.
    16. Sepideh Dolatabadi & Morten Ørregaard Nielsen & Ke Xu, 2015. "A Fractionally Cointegrated VAR Analysis of Price Discovery in Commodity Futures Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(4), pages 339-356, April.
    17. Henri Arslanian, 2022. "The Book of Crypto," Springer Books, Springer, number 978-3-030-97951-5, October.
    18. Johansen, SØren, 2008. "A Representation Theory For A Class Of Vector Autoregressive Models For Fractional Processes," Econometric Theory, Cambridge University Press, vol. 24(3), pages 651-676, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jinghong Wu & Ke Xu & Xinwei Zheng & Jian Chen, 2021. "Fractional cointegration in bitcoin spot and futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(9), pages 1478-1494, September.
    2. Yan, Meng & Chen, Jian & Song, Victor & Xu, Ke, 2022. "Trade friction and price discovery in the USD–CAD spot and forward markets," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    3. Ke Xu & Yu‐Lun Chen & Bo Liu & Jian Chen, 2024. "Price discovery and long‐memory property: Simulation and empirical evidence from the bitcoin market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(4), pages 605-618, April.
    4. Xu, Ke & Chen, Yu-Lun & Yang, J. Jimmy, 2023. "Market uncertainty, persistent arbitrage-free violation, and price discovery in RMB market," International Review of Financial Analysis, Elsevier, vol. 90(C).
    5. Sepideh Dolatabadi & Paresh Kumar Narayan & Morten Ørregaard Nielsen & Ke Xu, 2018. "Economic significance of commodity return forecasts from the fractionally cointegrated VAR model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(2), pages 219-242, February.
    6. Chen, Yu-Lun & Xu, Ke, 2021. "The impact of RMB’s SDR inclusion on price discovery in onshore-offshore markets," Journal of Banking & Finance, Elsevier, vol. 127(C).
    7. Filippo di Pietro & Antonio A. Golpe & Jose Carlos Vides, 2026. "When the Tail Wags the Dog: A Time‐Varying FCVAR Analysis of Bitcoin Market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 46(3), pages 529-544, March.
    8. Javier Hualde & Morten {O}rregaard Nielsen, 2022. "Fractional integration and cointegration," Papers 2211.10235, arXiv.org.
    9. Alexander Boca Saravia & Gabriel Rodríguez, 2022. "Presidential approval in Peru: an empirical analysis using a fractionally cointegrated VAR," Economic Change and Restructuring, Springer, vol. 55(3), pages 1973-2010, August.
    10. Sepideh Dolatabadi & Morten Ørregaard Nielsen & Ke Xu, 2015. "A Fractionally Cointegrated VAR Analysis of Price Discovery in Commodity Futures Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(4), pages 339-356, April.
    11. Gemayel, Roland & Franus, Tatiana & Bowden, James, 2023. "Price discovery between Bitcoin spot markets and exchange traded products," Economics Letters, Elsevier, vol. 228(C).
    12. Nikolaos Stoupos & Apostolos Kiohos, 2022. "Euro Area: Towards a European Common Bond? – Empirical Evidence from the Sovereign Debt Markets," Journal of Common Market Studies, Wiley Blackwell, vol. 60(4), pages 1019-1046, July.
    13. Azhar Mohamad & Sarveshwar Kumar Inani, 2023. "Price discovery in bitcoin spot or futures during the Covid-19 pandemic? Evidence from the time-varying parameter vector autoregressive model with stochastic volatility," Applied Economics Letters, Taylor & Francis Journals, vol. 30(19), pages 2749-2757, November.
    14. Stoupos, Nikolaos & Kiohos, Apostolos, 2022. "Bond markets integration in the EU: New empirical evidence from the Eastern non-euro member-states," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    15. Oliver Entrop & Bart Frijns & Marco Seruset, 2020. "The determinants of price discovery on bitcoin markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(5), pages 816-837, May.
    16. Abbritti, Mirko & Carcel, Hector & Gil-Alana, Luis & Moreno, Antonio, 2023. "Term premium in a fractionally cointegrated yield curve," Journal of Banking & Finance, Elsevier, vol. 149(C).
    17. Mustanen, Dmitri & Maaitah, Ahmad & Mishra, Tapas & Parhi, Mamata, 2022. "The power of investors’ optimism and pessimism in oil market forecasting," Energy Economics, Elsevier, vol. 114(C).
    18. Pati, Pratap Chandra, 2022. "Informativeness of CME Micro Bitcoin Futures in Pricing of Bitcoin: Intraday Evidence," Finance Research Letters, Elsevier, vol. 49(C).
    19. Federico Carlini & Paolo Santucci de Magistris, 2019. "Resuscitating the co-fractional model of Granger (1986)," Discussion Papers 19/01, University of Nottingham, Granger Centre for Time Series Econometrics.
    20. Filippo Beltrami & Fulvio Fontini & Monica Giulietti & Luigi Grossi, 2022. "The Zonal and Seasonal CO2 Marginal Emissions Factors for the Italian Power Market," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 83(2), pages 381-411, October.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:finrev:v:61:y:2026:i:2:p:435-449. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/efaaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.