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A first econometric analysis of the CRIX family

Author

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  • Chen, Shi
  • Chen, Cathy Yi-Hsuan
  • Härdle, Wolfgang Karl
  • Lee, TM
  • Ong, Bobby

Abstract

The CRIX (CRyptocurrency IndeX) has been constructed based on approximately 30 cryptos and captures high coverage of available market capitalisation. The CRIX index family covers a range of cryptos based on di erent liquidity rules and various model selection criteria. Details of ECRIX (Exact CRIX), EFCRIX (Exact Full CRIX) and also intraday CRIX movements may be found on the webpage of hu.berlin/crix.

Suggested Citation

  • Chen, Shi & Chen, Cathy Yi-Hsuan & Härdle, Wolfgang Karl & Lee, TM & Ong, Bobby, 2016. "A first econometric analysis of the CRIX family," SFB 649 Discussion Papers 2016-031, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    • Handle: RePEc:zbw:sfb649:sfb649dp2016-031
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    References listed on IDEAS

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    Cited by:

    1. Gergana Taneva, 2019. "An analysis and a forecast of the cryptomarket based on the ARIMA model," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 4, pages 66-84.
    2. Jeffrey Chu & Stephen Chan & Saralees Nadarajah & Joerg Osterrieder, 2017. "GARCH Modelling of Cryptocurrencies," JRFM, MDPI, vol. 10(4), pages 1-15, October.
    3. Pavel Ciaian & d'Artis Kancs & Miroslava Rajcaniova, 2018. "The Price of BitCoin: GARCH Evidence from High Frequency Data," Papers 1812.09452, arXiv.org.
    4. Konstantin Hausler & Wolfgang Karl Hardle, 2021. "Cryptocurrency Dynamics: Rodeo or Ascot?," Papers 2103.12461, arXiv.org, revised Jan 2022.
    5. Vahidin Jeleskovic & Claudio Latini & Zahid I. Younas & Mamdouh A. S. Al-Faryan, 2023. "Optimization of portfolios with cryptocurrencies: Markowitz and GARCH-Copula model approach," Papers 2401.00507, arXiv.org.
    6. Rehman, Mobeen Ur & Apergis, Nicholas, 2019. "Determining the predictive power between cryptocurrencies and real time commodity futures: Evidence from quantile causality tests," Resources Policy, Elsevier, vol. 61(C), pages 603-616.
    7. Häusler, Konstantin & Härdle, Wolfgang, 2021. "Rodeo or ascot: Which hat to wear at the crypto race?," IRTG 1792 Discussion Papers 2021-007, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".

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