IDEAS home Printed from https://ideas.repec.org/p/eei/rpaper/eeri_rp_2021_02.html
   My bibliography  Save this paper

Interdependencies between Mining Costs, Mining Rewards and Blockchain Security

Author

Listed:
  • Pavel Ciaian
  • d'Artis Kancs
  • Miroslava Rajcaniova

Abstract

This paper studies to what extent the cost of operating a proof-of-work blockchain is intrinsically linked to the cost of preventing attacks, and to what extent the underlying digital ledger’s security budgets are correlated with the cryptocurrency market outcomes. We theoretically derive an equilibrium relationship between the cryptocurrency price, mining rewards and mining costs, and blockchain security outcomes. Using daily crypto market data for 2014–2021 and employing the autoregressive distributed lag approach – that allows treating all the relevant moments of the blockchain series as potentially endogenous – we provide empirical evidence of cryptocurrency price and mining rewards indeed being intrinsically linked to blockchain security outcomes.

Suggested Citation

  • Pavel Ciaian & d'Artis Kancs & Miroslava Rajcaniova, 2021. "Interdependencies between Mining Costs, Mining Rewards and Blockchain Security," EERI Research Paper Series EERI RP 2021/02, Economics and Econometrics Research Institute (EERI), Brussels.
    • Handle: RePEc:eei:rpaper:eeri_rp_2021_02
    as

    Download full text from publisher

    File URL: http://www.eeri.eu/documents/wp/EERI_RP_2021_02.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Luisanna Cocco & Michele Marchesi, 2016. "Modeling and Simulation of the Economics of Mining in the Bitcoin Market," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-31, October.
    2. Pavel Ciaian & d’Artis Kancs & Miroslava Rajcaniova, 2021. "The economic dependency of bitcoin security," Applied Economics, Taylor & Francis Journals, vol. 53(49), pages 5738-5755, October.
    3. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    4. Edward L. Glaeser & Rafael La Porta & Florencio Lopez-de-Silanes & Andrei Shleifer, 2004. "Do Institutions Cause Growth?," Journal of Economic Growth, Springer, vol. 9(3), pages 271-303, September.
    5. Eric Budish, 2018. "The Economic Limits of Bitcoin and the Blockchain," NBER Working Papers 24717, National Bureau of Economic Research, Inc.
    6. Lin William Cong & Zhiguo He, 2019. "Blockchain Disruption and Smart Contracts," The Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 1754-1797.
    7. Rodney J. Garratt & Maarten R. C. van Oordt, 2023. "Why Fixed Costs Matter for Proof-of-Work–Based Cryptocurrencies," Management Science, INFORMS, vol. 69(11), pages 6482-6507, November.
    8. Pavel Ciaian & d'Artis Kancs & Miroslava Rajcaniova, 2018. "The Price of BitCoin: GARCH Evidence from High Frequency Data," Papers 1812.09452, arXiv.org.
    9. Ciaian, Pavel & Rajcaniova, Miroslava & Kancs, d'Artis, 2018. "Virtual relationships: Short- and long-run evidence from BitCoin and altcoin markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 52(C), pages 173-195.
    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. Jamal Bouoiyour & Refk Selmi, 2015. "What Does Bitcoin Look Like?," Annals of Economics and Finance, Society for AEF, vol. 16(2), pages 449-492, November.
    12. Kingston, Christopher & Caballero, Gonzalo, 2009. "Comparing theories of institutional change," Journal of Institutional Economics, Cambridge University Press, vol. 5(2), pages 151-180, August.
    13. Yo-Der Song & Tomaso Aste, 2020. "The cost of Bitcoin mining has never really increased," Papers 2004.04605, arXiv.org, revised May 2020.
    14. Patrick Waelbroeck, 2018. "An Economic Analysis of Blockchains," CESifo Working Paper Series 6893, CESifo.
    15. G. Hodgson, 2007. "What Are Institutions?," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 8.
    16. Marcel Thum, 2018. "The Economic Cost of Bitcoin Mining," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 19(01), pages 43-45, March.
    17. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    18. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    19. Phillips, Peter C B & Ouliaris, S, 1990. "Asymptotic Properties of Residual Based Tests for Cointegration," Econometrica, Econometric Society, vol. 58(1), pages 165-193, January.
    20. Stoian, Andreea & Iorgulescu, Filip, 2020. "Fiscal policy and stock market efficiency: An ARDL Bounds Testing approach," Economic Modelling, Elsevier, vol. 90(C), pages 406-416.
    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. d'Artis Kancs, 2022. "Enhancing Resilience: Model-based Simulations," EERI Research Paper Series EERI RP 2022/10, Economics and Econometrics Research Institute (EERI), Brussels.
    2. Pavel Ciaian & d’Artis Kancs & Miroslava Rajcaniova, 2021. "The economic dependency of bitcoin security," Applied Economics, Taylor & Francis Journals, vol. 53(49), pages 5738-5755, October.
    3. David Cerezo Sánchez, 2022. "Pravuil: Global Consensus for a United World," FinTech, MDPI, vol. 1(4), pages 1-20, October.
    4. David Cerezo S'anchez, 2021. "Pravuil: Global Consensus for a United World," Papers 2105.10464, arXiv.org.

    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. Pavel Ciaian & d’Artis Kancs & Miroslava Rajcaniova, 2021. "The economic dependency of bitcoin security," Applied Economics, Taylor & Francis Journals, vol. 53(49), pages 5738-5755, October.
    2. Liu, Yaping & Sadiq, Farah & Ali, Wajahat & Kumail, Tafazal, 2022. "Does tourism development, energy consumption, trade openness and economic growth matters for ecological footprint: Testing the Environmental Kuznets Curve and pollution haven hypothesis for Pakistan," Energy, Elsevier, vol. 245(C).
    3. Mary Oluwatoyin Agboola, 2021. "Female Labour Force Participation in Saudi Arabia and its Determinants," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 1, pages 135-152.
    4. Noriega Antonio E. & Ramos Francia Manuel & Rodríguez-Pérez Cid Alonso, 2015. "Money Demand Estimations in Mexico and of its Stability 1986-2010, as well as Some Examples of its Uses," Working Papers 2015-13, Banco de México.
    5. Mahalik, Mantu Kumar & Babu, M. Suresh & Loganathan, Nanthakumar & Shahbaz, Muhammad, 2017. "Does financial development intensify energy consumption in Saudi Arabia?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 1022-1034.
    6. Shahbaz, Muhammad & Naeem, Muhammad & Ahad, Muhammad & Tahir, Iqbal, 2018. "Is natural resource abundance a stimulus for financial development in the USA?," Resources Policy, Elsevier, vol. 55(C), pages 223-232.
    7. Ahad, Muhammad & Dar, Adeel Ahmad, 2017. "Modeling the Asymmetric Impact of Defense Spending on Economic Growth: An Evidence from Nonlinear ARDL and Multipliers," MPRA Paper 80085, University Library of Munich, Germany, revised 2017.
    8. Samih Antoine Azar & Angelic Salha, 2017. "The Bias in the Long Run Relation between the Prices of BRENT and West Texas Intermediate Crude Oils," International Journal of Energy Economics and Policy, Econjournals, vol. 7(1), pages 44-54.
    9. Muhammad Ahad & Zulfiqar Ali Imran, 2023. "The role of shadow economy to determine CO2 emission in Pakistan: evidence from novel dynamic simulated ARDL model and wavelet coherence analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(4), pages 3043-3071, April.
    10. Mohamed Maher & Yanzhi Zhao, 2022. "Do Political Instability and Military Expenditure Undermine Economic Growth in Egypt? Evidence from the ARDL Approach," Defence and Peace Economics, Taylor & Francis Journals, vol. 33(8), pages 956-979, November.
    11. Shahbaz, Muhammad & Kumar, Ronald Ravinesh & Ivanov, Stanislav & Loganathan, Nanthakumar, 2015. "Nexus between Tourism demand and output per capita with relative importance of trade and financial development: A study of Malaysia," MPRA Paper 67226, University Library of Munich, Germany, revised 11 Oct 2015.
    12. Nur Setyowati, 2019. "Macroeconomic Determinants of Islamic Banking Products in Indonesia," Economies, MDPI, vol. 7(2), pages 1-15, June.
    13. Andries, Natalia & Billon, Steve, 2016. "Retail bank interest rate pass-through in the euro area: An empirical survey," Economic Systems, Elsevier, vol. 40(1), pages 170-194.
    14. Holtfort, Thomas & Horsch, Andreas & Schwarz, Joachim, 2022. "Economic, technological and social drivers of cryptocurrency market evolution and its managerial impact," Freiberg Working Papers 2022/01, TU Bergakademie Freiberg, Faculty of Economics and Business Administration.
    15. Muhammad Ahad, 2017. "Impact of Financial Development on Trade Balance: An ARDL Cointegration and Causality Approach for Pakistan," Global Business Review, International Management Institute, vol. 18(5), pages 1199-1214, October.
    16. Junaid Ashraf, 2023. "Does political risk undermine environment and economic development in Pakistan? Empirical evidence from China–Pakistan economic corridor," Economic Change and Restructuring, Springer, vol. 56(1), pages 581-608, February.
    17. Muammer Yaylalı & Ebul Muhsin Doğan & Vildan Merve Yılmaz & Zeynep Karaca, 2015. "The Examination of Relationship Between Foreign Direct Investments and Carbondioxide Emissions In Turkey with ARDL Approach," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 3(2), pages 107-112, December.
    18. Muhammad Ahad & Ijaz ur Rehman & Fiza Qureshi & Waqas Hanif & Zaheer Anwer, 2018. "Modelling Asymmetric Impact of Home Country Macroeconomic Variables on American Depository Receipts: Evidence from Eurozone," Annals of Economics and Finance, Society for AEF, vol. 19(2), pages 703-727, November.
    19. Chaido Dritsaki, 2016. "Real wages, inflation, and labor productivity: Evidences from Bulgaria and Romania," Journal of Economic and Financial Studies (JEFS), LAR Center Press, vol. 4(5), pages 24-36, October.
    20. Agboola, Mary Oluwatoyin, 2021. "Female Labour Force Participation in Saudi Arabia and its Determinants," Gospodarka Narodowa-The Polish Journal of Economics, Szkoła Główna Handlowa w Warszawie / SGH Warsaw School of Economics, vol. 2021(1), March.

    More about this item

    Keywords

    Cryptocurrency; ARDL; blockchain; proof-of-work; security budget; institutional governance technology; network externalities;
    All these keywords.

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • E42 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Monetary Sytsems; Standards; Regimes; Government and the Monetary System
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • G29 - Financial Economics - - Financial Institutions and Services - - - Other

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:eei:rpaper:eeri_rp_2021_02. 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: Julia van Hove (email available below). General contact details of provider: https://edirc.repec.org/data/eeriibe.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.