IDEAS home Printed from https://ideas.repec.org/a/eee/jfinec/v141y2021i2p771-782.html
   My bibliography  Save this article

Ransomware activity and blockchain congestion

Author

Listed:
  • Sokolov, Konstantin

Abstract

I examine blockchain congestion episodes caused by more than 4,400 triggers for ransomware attacks over a two-year period. When demand for settlement exceeds blockchain capacity, blockchain users engage in fee competition to prioritize their transaction settlement. A typical surge in ransomware activity causes transaction fees to increase by 2.1% and up to 28% in extreme cases. Consistent with theory literature, some users forgo blockchain settlement when transaction fees increase. An event study around an extreme spike in ransomware activity supports the findings of the main analysis.

Suggested Citation

  • Sokolov, Konstantin, 2021. "Ransomware activity and blockchain congestion," Journal of Financial Economics, Elsevier, vol. 141(2), pages 771-782.
    • Handle: RePEc:eee:jfinec:v:141:y:2021:i:2:p:771-782
    DOI: 10.1016/j.jfineco.2021.04.015
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304405X21001422
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jfineco.2021.04.015?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jonathan Chiu & Thorsten V Koeppl, 2019. "Blockchain-Based Settlement for Asset Trading," The Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 1716-1753.
    2. Sanjeev Goyal & Adrien Vigier, 2014. "Attack, Defence, and Contagion in Networks," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(4), pages 1518-1542.
    3. Makarov, Igor & Schoar, Antoinette, 2020. "Trading and arbitrage in cryptocurrency markets," LSE Research Online Documents on Economics 100409, London School of Economics and Political Science, LSE Library.
    4. Sean Foley & Jonathan R Karlsen & Tālis J Putniņš, 2019. "Sex, Drugs, and Bitcoin: How Much Illegal Activity Is Financed through Cryptocurrencies?," The Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 1798-1853.
    5. Acemoglu, Daron & Malekian, Azarakhsh & Ozdaglar, Asu, 2016. "Network security and contagion," Journal of Economic Theory, Elsevier, vol. 166(C), pages 536-585.
    6. Easley, David & O'Hara, Maureen & Basu, Soumya, 2019. "From mining to markets: The evolution of bitcoin transaction fees," Journal of Financial Economics, Elsevier, vol. 134(1), pages 91-109.
    7. Pankaj K. Jain & Thomas H. McInish & Jonathan L. Miller, 2019. "Insights from bitcoin trading," Financial Management, Financial Management Association International, vol. 48(4), pages 1031-1048, December.
    8. repec:oup:restud:v:81:y:2014:i:4:p:1518-1542. is not listed on IDEAS
    9. Stephen D. Williamson, 2018. "Is Bitcoin a Waste of Resources?," Review, Federal Reserve Bank of St. Louis, vol. 100(2), pages 107-115.
    10. Bruno Biais & Christophe Bisière & Matthieu Bouvard & Catherine Casamatta, 2019. "The Blockchain Folk Theorem," The Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 1662-1715.
    11. ., 2019. "The institutional economics of blockchain," Chapters, in: Understanding the Blockchain Economy, chapter 2, pages 15-36, Edward Elgar Publishing.
    12. Sabrina T Howell & Marina Niessner & David Yermack & Jiang Wei, 2020. "Initial Coin Offerings: Financing Growth with Cryptocurrency Token Sales," The Review of Financial Studies, Society for Financial Studies, vol. 33(9), pages 3925-3974.
    13. Eric Budish, 2018. "The Economic Limits of Bitcoin and the Blockchain," NBER Working Papers 24717, National Bureau of Economic Research, Inc.
    14. Peter C. B. Phillips & Hyungsik R. Moon, 1999. "Linear Regression Limit Theory for Nonstationary Panel Data," Econometrica, Econometric Society, vol. 67(5), pages 1057-1112, September.
    15. Makarov, Igor & Schoar, Antoinette, 2020. "Trading and arbitrage in cryptocurrency markets," Journal of Financial Economics, Elsevier, vol. 135(2), pages 293-319.
    16. Lancaster, Tony, 2000. "The incidental parameter problem since 1948," Journal of Econometrics, Elsevier, vol. 95(2), pages 391-413, April.
    17. Rainer Böhme & Nicolas Christin & Benjamin Edelman & Tyler Moore, 2015. "Bitcoin: Economics, Technology, and Governance," Journal of Economic Perspectives, American Economic Association, vol. 29(2), pages 213-238, Spring.
    18. Athey, Susan & Parashkevov, Ivo & Sarukkai, Vishnu & Xia, Jing, 2016. "Bitcoin Pricing, Adoption, and Usage: Theory and Evidence," Research Papers 3469, Stanford University, Graduate School of Business.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lars Hornuf & Paul P. Momtaz & Rachel J. Nam & Ye Yuan, 2023. "Cybercrime on the Ethereum Blockchain," CESifo Working Paper Series 10598, CESifo.
    2. Yulin Liu & Yuxuan Lu & Kartik Nayak & Fan Zhang & Luyao Zhang & Yinhong Zhao, 2022. "Empirical Analysis of EIP-1559: Transaction Fees, Waiting Time, and Consensus Security," Papers 2201.05574, arXiv.org, revised Apr 2023.
    3. Foley, Sean & Frijns, Bart & Garel, Alexandre & Roh, Tai-Yong, 2022. "Who buys Bitcoin? The cultural determinants of Bitcoin activity," International Review of Financial Analysis, Elsevier, vol. 84(C).
    4. Lin William Cong & Ke Tang & Yanxin Wang & Xi Zhao, 2023. "Inclusion and Democratization Through Web3 and DeFi? Initial Evidence from the Ethereum Ecosystem," NBER Working Papers 30949, National Bureau of Economic Research, Inc.
    5. Cole, Benjamin M. & Dyhrberg, Anne H. & Foley, Sean & Svec, Jiri, 2022. "Can Bitcoin be Trusted? Quantifying the economic value of blockchain transactions," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    6. Dan Amiram & Bjørn N. Jørgensen & Daniel Rabetti, 2022. "Coins for Bombs: The Predictive Ability of On‐Chain Transfers for Terrorist Attacks," Journal of Accounting Research, Wiley Blackwell, vol. 60(2), pages 427-466, May.
    7. Feng, Wenjun & Zhang, Zhengjun, 2023. "Risk-weighted cryptocurrency indices," Finance Research Letters, Elsevier, vol. 51(C).
    8. Baur, Dirk G. & Karlsen, Jonathan R. & Smales, Lee A. & Trench, Allan, 2024. "Digging deeper - Is bitcoin digital gold? A mining perspective," Journal of Commodity Markets, Elsevier, vol. 34(C).
    9. Nikolaus Hautsch & Christoph Scheu & Stefan Voigt, 2024. "Building trust takes time: limits to arbitrage for blockchain-based assets," Review of Finance, European Finance Association, vol. 28(4), pages 1345-1381.
    10. Lin William Cong & Campbell R. Harvey & Daniel Rabetti & Zong-Yu Wu, 2023. "An Anatomy of Crypto-Enabled Cybercrimes," NBER Working Papers 30834, National Bureau of Economic Research, Inc.
    11. Aspris, Angelo & Foley, Sean & Svec, Jiri & Wang, Leqi, 2021. "Decentralized exchanges: The “wild west” of cryptocurrency trading," International Review of Financial Analysis, Elsevier, vol. 77(C).
    12. Nikolaus Hautsch & Christoph Scheu & Stefan Voigt, 2024. "Building trust takes time: limits to arbitrage for blockchain-based assets," Review of Finance, European Finance Association, vol. 28(4), pages 1345-1381.

    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. Hanna Halaburda & Guillaume Haeringer & Joshua Gans & Neil Gandal, 2022. "The Microeconomics of Cryptocurrencies," Journal of Economic Literature, American Economic Association, vol. 60(3), pages 971-1013, September.
    2. Matteo Benetton & Giovanni Compiani, 2024. "Investors’ Beliefs and Cryptocurrency Prices," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 14(2), pages 197-236.
    3. Makarov, Igor & Schoar, Antoinette, 2021. "Blockchain analysis of the Bitcoin market," LSE Research Online Documents on Economics 118897, London School of Economics and Political Science, LSE Library.
    4. Gryglewicz, Sebastian & Mayer, Simon & Morellec, Erwan, 2021. "Optimal financing with tokens," Journal of Financial Economics, Elsevier, vol. 142(3), pages 1038-1067.
    5. Emiliano S Pagnotta, 2022. "Decentralizing Money: Bitcoin Prices and Blockchain Security," The Review of Financial Studies, Society for Financial Studies, vol. 35(2), pages 866-907.
    6. Luciano Somoza & Antoine Didisheim, 2022. "The End of the Crypto-Diversification Myth," Swiss Finance Institute Research Paper Series 22-53, Swiss Finance Institute.
    7. Igor Makarov & Antoinette Schoar, 2021. "Blockchain Analysis of the Bitcoin Market," NBER Working Papers 29396, National Bureau of Economic Research, Inc.
    8. Saketh Aleti & Bruce Mizrach, 2021. "Bitcoin spot and futures market microstructure," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(2), pages 194-225, February.
    9. Cynthia Weiyi Cai & Rui Xue & Bi Zhou, 2023. "Cryptocurrency puzzles: a comprehensive review and re-introduction," Journal of Accounting Literature, Emerald Group Publishing Limited, vol. 46(1), pages 26-50, June.
    10. Klaus Grobys, 2021. "When the blockchain does not block: on hackings and uncertainty in the cryptocurrency market," Quantitative Finance, Taylor & Francis Journals, vol. 21(8), pages 1267-1279, August.
    11. Hinzen, Franz J. & John, Kose & Saleh, Fahad, 2022. "Bitcoin’s limited adoption problem," Journal of Financial Economics, Elsevier, vol. 144(2), pages 347-369.
    12. Li Guo & Wolfgang Karl Härdle & Yubo Tao, 2024. "A Time-Varying Network for Cryptocurrencies," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(2), pages 437-456, April.
    13. Matteo Benetton & Giovanni Compiani, 2020. "Investors’ Beliefs and Asset Prices: A Structural Model of Cryptocurrency Demand," Working Papers 2020-107, Becker Friedman Institute for Research In Economics.
    14. Daniel Tut, 2022. "Bitcoin: Future or Fad?," Springer Books, in: Thomas Walker & Frederick Davis & Tyler Schwartz (ed.), Big Data in Finance, pages 133-157, Springer.
    15. Gilles Hilary & Laura Xiaolei Liu, 2021. "Blockchain and Other Distributed Ledger Technologies in Finance," Springer Books, in: Raghavendra Rau & Robert Wardrop & Luigi Zingales (ed.), The Palgrave Handbook of Technological Finance, pages 243-268, Springer.
    16. Feng, Wenjun & Zhang, Zhengjun, 2023. "Currency exchange rate predictability: The new power of Bitcoin prices," Journal of International Money and Finance, Elsevier, vol. 132(C).
    17. Lin William Cong & Yizhou Xiao, 2021. "Categories and Functions of Crypto-Tokens," Springer Books, in: Maurizio Pompella & Roman Matousek (ed.), The Palgrave Handbook of FinTech and Blockchain, edition 1, chapter 0, pages 267-284, Springer.
    18. Borri, Nicola & Shakhnov, Kirill, 2023. "Cryptomarket discounts," Journal of International Money and Finance, Elsevier, vol. 139(C).
    19. Nikolaus Hautsch & Christoph Scheu & Stefan Voigt, 2024. "Building trust takes time: limits to arbitrage for blockchain-based assets," Review of Finance, European Finance Association, vol. 28(4), pages 1345-1381.
    20. Kuo-Shing Chen, 2024. "Investigating the Impact of Financial Reporting for Cryptocurrencies on Company Value," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 14(3), pages 1-6.

    More about this item

    Keywords

    Blockchain; Congestion; Ransomware; Transaction fees;
    All these keywords.

    JEL classification:

    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design
    • E42 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Monetary Sytsems; Standards; Regimes; Government and the Monetary System
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

    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:eee:jfinec:v:141:y:2021:i:2:p:771-782. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/505576 .

    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.