IDEAS home Printed from https://ideas.repec.org/a/spr/fininn/v8y2022i1d10.1186_s40854-022-00389-8.html
   My bibliography  Save this article

An analysis of the acquisition of a monetary function by cryptocurrency using a multi-agent simulation model

Author

Listed:
  • Kyohei Shibano

    (The University of Tokyo)

  • Gento Mogi

    (The University of Tokyo)

Abstract

Many types of cryptocurrencies, which predominantly utilize blockchain technology, have emerged worldwide. Several issuers plan to circulate their original cryptocurrencies for monetary use. This study investigates whether issuers can stimulate cryptocurrencies to attain a monetary function. We use a multi-agent model, referred to as the Yasutomi model, which simulates the emergence of money. We analyze two scenarios that may result from the actions taken by the issuer. These scenarios focus on increases in the number of stores that accept cryptocurrency payments and situations whereby the cryptocurrency issuer designs the cryptocurrency to be attractive to people and conducts an airdrop. We find that a cryptocurrency can attain a monetary function in two cases. One such case occurs when 20% of all agents accept the cryptocurrency for payment and 50% of the agents are aware of this fact. The second case occurs when the issuer continuously airdrops a cryptocurrency to a specific person while maintaining the total volume of the cryptocurrency within a range that prevents it from losing its attractiveness.

Suggested Citation

  • Kyohei Shibano & Gento Mogi, 2022. "An analysis of the acquisition of a monetary function by cryptocurrency using a multi-agent simulation model," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-30, December.
    • Handle: RePEc:spr:fininn:v:8:y:2022:i:1:d:10.1186_s40854-022-00389-8
    DOI: 10.1186/s40854-022-00389-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1186/s40854-022-00389-8
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1186/s40854-022-00389-8?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. Schilling, Linda & Uhlig, Harald, 2019. "Some simple bitcoin economics," Journal of Monetary Economics, Elsevier, vol. 106(C), pages 16-26.
    2. Zakaria Babutsidze & Maurizio Iacopetta, 2021. "The Emergence of Money: Computational Approaches with Fully and Boundedly Rational Agents," Computational Economics, Springer;Society for Computational Economics, vol. 58(1), pages 3-26, June.
    3. Kiyotaki, Nobuhiro & Wright, Randall, 1989. "On Money as a Medium of Exchange," Journal of Political Economy, University of Chicago Press, vol. 97(4), pages 927-954, August.
    4. Marmora, Paul, 2021. "Currency substitution in the shadow economy: International panel evidence using local Bitcoin trade volume," Economics Letters, Elsevier, vol. 205(C).
    5. Fan Fang & Carmine Ventre & Michail Basios & Leslie Kanthan & David Martinez-Rego & Fan Wu & Lingbo Li, 2022. "Cryptocurrency trading: a comprehensive survey," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-59, December.
    6. William J. Luther, 2016. "Cryptocurrencies, Network Effects, And Switching Costs," Contemporary Economic Policy, Western Economic Association International, vol. 34(3), pages 553-571, July.
    7. Kiyotaki, Nobuhiro & Wright, Randall, 1993. "A Search-Theoretic Approach to Monetary Economics," American Economic Review, American Economic Association, vol. 83(1), pages 63-77, March.
    8. Kim, Minseong, 2021. "A psychological approach to Bitcoin usage behavior in the era of COVID-19: Focusing on the role of attitudes toward money," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    9. Juneman Abraham & Dian Utami Sutiksno & Nuning Kurniasih & Ari Warokka, 2019. "Acceptance and Penetration of Bitcoin: The Role of Psychological Distance and National Culture," SAGE Open, , vol. 9(3), pages 21582440198, July.
    10. Marimon, Ramon & McGrattan, Ellen & Sargent, Thomas J., 1990. "Money as a medium of exchange in an economy with artificially intelligent agents," Journal of Economic Dynamics and Control, Elsevier, vol. 14(2), pages 329-373, May.
    11. Zakaria Babutsidze & Maurizio Iacopetta, 2019. "The emergence of money: computational approaches with fully and boundedly rational agents," Post-Print hal-03403570, HAL.
    12. Gang Kou & Özlem Olgu Akdeniz & Hasan Dinçer & Serhat Yüksel, 2021. "Fintech investments in European banks: a hybrid IT2 fuzzy multidimensional decision-making approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-28, December.
    13. Yuze Li & Shangrong Jiang & Xuerong Li & Shouyang Wang, 2022. "Hybrid data decomposition-based deep learning for Bitcoin prediction and algorithm trading," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-24, December.
    14. Francisco Javier García-Corral & José Antonio Cordero-García & Jaime de Pablo-Valenciano & Juan Uribe-Toril, 2022. "A bibliometric review of cryptocurrencies: how have they grown?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-31, December.
    15. Nicolás Cachanosky, 2019. "Can Bitcoin become money? The monetary rule problem," Australian Economic Papers, Wiley Blackwell, vol. 58(4), pages 365-374, December.
    16. Hazlett, Peter K. & Luther, William J., 2020. "Is bitcoin money? And what that means," The Quarterly Review of Economics and Finance, Elsevier, vol. 77(C), pages 144-149.
    17. Min Xu & Xingtong Chen & Gang Kou, 2019. "A systematic review of blockchain," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-14, December.
    18. Dowd, Kevin & Greenaway, David, 1993. "Currency Competition, Network Externalities and Switching Costs: Towards an Alternative View of Optimum Currency Areas," Economic Journal, Royal Economic Society, vol. 103(420), pages 1180-1189, September.
    19. Fan Fang & Carmine Ventre & Michail Basios & Leslie Kanthan & Lingbo Li & David Martinez-Regoband & Fan Wu, 2020. "Cryptocurrency Trading: A Comprehensive Survey," Papers 2003.11352, arXiv.org, revised Jan 2022.
    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. Wang, Ronghui & Nan, Guofang & Kou, Gang & Li, Minqiang, 2023. "Separation or integration: The game between retailers with online and offline channels," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1348-1359.
    2. Wei Xu & Daning Hu & Karl Reiner Lang & J. Leon Zhao, 2022. "Blockchain and digital finance," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-4, December.
    3. Fatih Ecer & Tolga Murat & Hasan Dinçer & Serhat Yüksel, 2024. "A fuzzy BWM and MARCOS integrated framework with Heronian function for evaluating cryptocurrency exchanges: a case study of Türkiye," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-29, December.

    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. Husam Rjoub & Tomiwa Sunday Adebayo & Dervis Kirikkaleli, 2023. "Blockchain technology-based FinTech banking sector involvement using adaptive neuro-fuzzy-based K-nearest neighbors algorithm," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-23, December.
    2. Laurens Swinkels, 2023. "Empirical evidence on the ownership and liquidity of real estate tokens," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-29, December.
    3. Wei Xu & Daning Hu & Karl Reiner Lang & J. Leon Zhao, 2022. "Blockchain and digital finance," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-4, December.
    4. Fatih Ecer & Tolga Murat & Hasan Dinçer & Serhat Yüksel, 2024. "A fuzzy BWM and MARCOS integrated framework with Heronian function for evaluating cryptocurrency exchanges: a case study of Türkiye," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-29, December.
    5. Yi-Hsiang Lu & Ching-Chiang Yeh & Yu-Mei Kuo, 2024. "Exploring the critical factors affecting the adoption of blockchain: Taiwan’s banking industry," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-25, December.
    6. Tina Linden & Tina Shirazi, 2023. "Markets in crypto-assets regulation: Does it provide legal certainty and increase adoption of crypto-assets?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-30, December.
    7. Nuray Tosunoğlu & Hilal Abacı & Gizem Ateş & Neslihan Saygılı Akkaya, 2023. "Artificial neural network analysis of the day of the week anomaly in cryptocurrencies," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-24, December.
    8. George Selgin, 2003. "Adaptive Learning and the Transition to Fiat Money," Economic Journal, Royal Economic Society, vol. 113(484), pages 147-165, January.
    9. William Luther, 2014. "Evenly rotating economy: A new modeling technique for an old equilibrium construct," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 27(4), pages 403-417, December.
    10. Ştefan Cristian Gherghina & Liliana Nicoleta Simionescu, 2023. "Exploring the asymmetric effect of COVID-19 pandemic news on the cryptocurrency market: evidence from nonlinear autoregressive distributed lag approach and frequency domain causality," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-58, December.
    11. Yu Song & Bo Chen & Xin-Yi Wang, 2023. "Cryptocurrency technology revolution: are Bitcoin prices and terrorist attacks related?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-20, December.
    12. Mattia Di Russo & Zakaria Babutsidze & Célia da Costa Pereira & Maurizio Iacopetta & Andrea G. B. Tettamanzi, 2022. "Agent-Based Modeling for Studying the Spontaneous Emergence of Money," Post-Print hal-03913561, HAL.
    13. Kiyotaki, Nobuhiro & Lagos, Ricardo & Wright, Randall, 2016. "Introduction to the symposium issue on money and liquidity," Journal of Economic Theory, Elsevier, vol. 164(C), pages 1-9.
    14. Kannan, Prakash, 2009. "On the welfare benefits of an international currency," European Economic Review, Elsevier, vol. 53(5), pages 588-606, July.
    15. Luis Lorenzo & Javier Arroyo, 2023. "Online risk-based portfolio allocation on subsets of crypto assets applying a prototype-based clustering algorithm," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-40, December.
    16. Wujun Lv & Tao Pang & Xiaobao Xia & Jingzhou Yan, 2023. "Dynamic portfolio choice with uncertain rare-events risk in stock and cryptocurrency markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-28, December.
    17. Walid Mensi & Mariya Gubareva & Hee-Un Ko & Xuan Vinh Vo & Sang Hoon Kang, 2023. "Tail spillover effects between cryptocurrencies and uncertainty in the gold, oil, and stock markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-27, December.
    18. Riccardo Blasis & Luca Galati & Alexander Webb & Robert I. Webb, 2023. "Intelligent design: stablecoins (in)stability and collateral during market turbulence," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-23, December.
    19. Waqas Hanif & Hee-Un Ko & Linh Pham & Sang Hoon Kang, 2023. "Dynamic connectedness and network in the high moments of cryptocurrency, stock, and commodity markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-40, December.
    20. Danilo Bazzanella & Andrea Gangemi, 2023. "Bitcoin: a new proof-of-work system with reduced variance," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-14, December.

    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:spr:fininn:v:8:y:2022:i:1:d:10.1186_s40854-022-00389-8. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.