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A Machine Learning Based Regulatory Risk Index for Cryptocurrencies

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  • Ni, Xinwen
  • Härdle, Wolfgang Karl
  • Xie, Taojun

Abstract

Cryptocurrencies’ values often respond aggressively to major policy changes, but none of the existing indices informs on the market risks associated with regulatory changes. In this paper, we quantify the risks originating from new regulations on FinTech and cryptocurrencies (CCs), and analyse their impact on market dynamics. Specifically, a Cryptocurrency Regulatory Risk IndeX (CRRIX) is constructed based on policy-related news coverage frequency. The unlabeled news data are collected from the top online CC news platforms and further classified using a Latent Dirichlet Allocation model and Hellinger distance. Our results show that the machine-learning-based CRRIX successfully captures major policy-changing moments. The movements for both the VCRIX, a market volatility index, and the CRRIX are synchronous, meaning that the CRRIX could be helpful for all participants in the cryptocurrency market. The algorithms and Python code are available for research purposes on www.quantlet.de.

Suggested Citation

  • Ni, Xinwen & Härdle, Wolfgang Karl & Xie, Taojun, 2020. "A Machine Learning Based Regulatory Risk Index for Cryptocurrencies," IRTG 1792 Discussion Papers 2020-013, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    • Handle: RePEc:zbw:irtgdp:2020013
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    References listed on IDEAS

    as
    1. da Gama Silva, Paulo Vitor Jordão & Klotzle, Marcelo Cabus & Pinto, Antonio Carlos Figueiredo & Gomes, Leonardo Lima, 2019. "Herding behavior and contagion in the cryptocurrency market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 41-50.
    2. Scott R. Baker & Nick Bloom & Steven J. Davis & John Van Reenen, 2012. "Economic Recovery and Policy Uncertainty," CEP US Election Analysis Papers 002, Centre for Economic Performance, LSE.
    3. Christian M Hafner, 2020. "Testing for Bubbles in Cryptocurrencies with Time-Varying Volatility," The Journal of Financial Econometrics, Society for Financial Econometrics, vol. 18(2), pages 233-249.
    4. Marco Linton & Wolfgang K. Härdle & Ernie Gin Swee Teo & Elisabeth Bommes & Cathy Yi-Hsuan Chen, 2016. "Dynamic Topic Modelling for Cryptocurrency Community Forums," SFB 649 Discussion Papers SFB649DP2016-051, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    5. Apolline Blandin & Ann Sofie Cloots & Hatim Hussain & Michel Rauchs & Rasheed Saleuddin & Jason Grant Allen & Katherine Cloud & Bryan Zheng Zhang, 2019. "Global Cryptoasset Regulatory Landscape Study," Cambridge Centre for Alternative Finance Reports -201904-gcrls, Cambridge Centre for Alternative Finance, Cambridge Judge Business School, University of Cambridge.
    6. Roger Buckland & Patricia Fraser, 2001. "Political and Regulatory Risk in Water Utilities: Beta Sensitivity in the United Kingdom," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 28(7‐8), pages 877-904, September.
    7. Roger Buckland & Patricia Fraser, 2001. "Political and Regulatory Risk in Water Utilities: Beta Sensitivity in the United Kingdom," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 28(7&8), pages 877-904.
    8. Raphael Auer & Stijn Claessens, 2020. "Cryptocurrency Market Reactions to Regulatory News," Globalization Institute Working Papers 381, Federal Reserve Bank of Dallas.
    9. Klein, Tony & Pham Thu, Hien & Walther, Thomas, 2018. "Bitcoin is not the New Gold – A comparison of volatility, correlation, and portfolio performance," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 105-116.
    10. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2012. "Has Economic Policy Uncertainty Hampered the Recovery?," Book Chapters, in: Lee E. Ohanian & John B. Taylor & Ian J. Wright (ed.), Government Policies and the Delayed Economic Recovery, chapter 3, Hoover Institution, Stanford University.
    11. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2012. "Has Economic Policy Uncertainty Hampered the Recovery?," Book Chapters, in: Lee E. Ohanian & John B. Taylor & Ian J. Wright (ed.), Government Policies and the Delayed Economic Recovery, chapter 3, Hoover Institution, Stanford University.
    12. Antony W. Dnes & Jonathan S. Seaton, 1999. "The Regulation of British Telecom: An Event Study," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 155(4), pages 610-610, December.
    13. Trimborn, Simon & Härdle, Wolfgang Karl, 2018. "CRIX an Index for cryptocurrencies," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 107-122.
    14. John J. Binder, 1985. "Measuring the Effects of Regulation with Stock Price Data," RAND Journal of Economics, The RAND Corporation, vol. 16(2), pages 167-183, Summer.
    15. Kang, Wensheng & Ratti, Ronald A., 2013. "Oil shocks, policy uncertainty and stock market return," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 305-318.
    16. Prager, Robin A, 1992. "The Effects of Deregulating Cable Television: Evidence from the Financial Markets," Journal of Regulatory Economics, Springer, vol. 4(4), pages 347-363, December.
    17. Barrdear, John & Kumhof, Michael, 2016. "The macroeconomics of central bank issued digital currencies," Bank of England working papers 605, Bank of England.
    18. Baur, Dirk G. & Hong, KiHoon & Lee, Adrian D., 2018. "Bitcoin: Medium of exchange or speculative assets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 54(C), pages 177-189.
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    Cited by:

    1. Zinovyev, Elizaveta & Reule, Raphael C. G. & Härdle, Wolfgang, 2021. "Understanding Smart Contracts: Hype or hope?," IRTG 1792 Discussion Papers 2021-004, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    2. Cristina Sbirneciu & Nicoleta Valentina Florea, 2023. "Evaluating the Impact of Emerging Technologies on the ECB's Mandate: Can the European Central Bank Use Distributed Ledger Technology and Digital Euro to Advance Financial Inclusion in Europe?," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 1059-1070, August.

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    More about this item

    Keywords

    Cryptocurrency; Regulatory Risk; Index; LDA; News Classification;
    All these keywords.

    JEL classification:

    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

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