IDEAS home Printed from https://ideas.repec.org/a/bas/econst/y2022i4p33-54.html
   My bibliography  Save this article

DeFi – Potential, Advantages and Challenges

Author

Listed:
  • Svetoslav Borisov

Abstract

Blockchain technology may decrease transaction costs, promote decentralised platforms and build distributed trust, paving the road to new business models. In the financial sector, blockchain technology approves the progress of more innovative, boundless and clear decentralised financial services. Decentralised financial services can broaden financial encompassment by promoting open access and innovation. By scraping out several restrictions, they reveal new opportunities for entrepreneurs and innovators. A year ago, the whole value locked in DeFi (Decentralised finance) systems was almost $600 million, and by May 2021, it was about $88 billion. The frantic development of the ecosystem requires newcomers to understand its basic characteristics. The purpose of this paper is to estimate the advances of decentralised finance, classify current business models, and outline potential challenges and constraints.

Suggested Citation

  • Svetoslav Borisov, 2022. "DeFi – Potential, Advantages and Challenges," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 4, pages 33-54.
    • Handle: RePEc:bas:econst:y:2022:i:4:p:33-54
    as

    Download full text from publisher

    File URL: https://www.iki.bas.bg/Journals/EconomicStudies/2022/2022-4/03_Svetoslav-Borisov.pdf
    Download Restriction: no
    ---><---

    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. Alexander Grech & Anthony Camilleri, 2017. "Blockchain in Education," JRC Research Reports JRC108255, Joint Research Centre.
    3. Saifedean Ammous, 2015. "Economics beyond Financial Intermediation: Digital Currencies' Possibilities for Growth, Poverty Alleviation, and International Development," Journal of Private Enterprise, The Association of Private Enterprise Education, vol. 30(Fall 2015), pages 19-50.
    Full references (including those not matched with items on IDEAS)

    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. Raphael Auer, 2019. "Beyond the doomsday economics of "proof-of-work" in cryptocurrencies," BIS Working Papers 765, Bank for International Settlements.
    2. Parthajit Kayal & Purnima Rohilla, 2021. "Bitcoin in the economics and finance literature: a survey," SN Business & Economics, Springer, vol. 1(7), pages 1-21, July.
    3. Simplice A. Asongu & Nicholas M. Odhiambo, 2023. "Female unemployment, mobile money innovations and doing business by females," Journal of Innovation and Entrepreneurship, Springer, vol. 12(1), pages 1-26, December.
    4. Huang, Guan-Ying & Gau, Yin-Feng & Wu, Zhen-Xing, 2022. "Price discovery in fiat currency and cryptocurrency markets," Finance Research Letters, Elsevier, vol. 47(PA).
    5. Maria Vittoria Lo Presti, 2020. "Second Language Distance Learning: The Issue of Language Certification in the Time of COVID-19," European Journal of Education Articles, Revistia Research and Publishing, vol. 3, ejed_v3_i.
    6. Lim, King Yoong & Liu, Chunping & Zhang, Shuonan, 2024. "Optimal central banking policies: Envisioning the post-digital yuan economy with loan prime rate-setting," Emerging Markets Review, Elsevier, vol. 59(C).
    7. Vesa Pursiainen & Jan Toczynski, 2023. "Retail Investors’ Cryptocurrency Investments," Swiss Finance Institute Research Paper Series 23-51, Swiss Finance Institute.
    8. Sofia Priazhkina & Samuel Palmer & Pablo Martín-Ramiro & Román Orús & Samuel Mugel & Vladimir Skavysh, 2024. "Digital Payments in Firm Networks: Theory of Adoption and Quantum Algorithm," Staff Working Papers 24-17, Bank of Canada.
    9. Miklesh Prasad Yadav & Atul Kumar & Vidhi Tyagi, 2023. "Adaptive Market Hypothesis and Cointegration: An Evidence of the Cryptocurrency Market," Contemporary Studies in Economic and Financial Analysis, in: Smart Analytics, Artificial Intelligence and Sustainable Performance Management in a Global Digitalised Economy, volume 110, pages 27-43, Emerald Group Publishing Limited.
    10. Chen, Bin-xia & Sun, Yan-lin, 2024. "Risk characteristics and connectedness in cryptocurrency markets: New evidence from a non-linear framework," The North American Journal of Economics and Finance, Elsevier, vol. 69(PA).
    11. Harald Uhlig & Taojun Xie, 2020. "Parallel Digital Currencies and Sticky Prices," Working Papers 2020-188, Becker Friedman Institute for Research In Economics.
    12. Dunbar, Kwamie & Owusu-Amoako, Johnson, 2022. "Cryptocurrency returns under empirical asset pricing," International Review of Financial Analysis, Elsevier, vol. 82(C).
    13. Bertrand Crettez & Lisa Morhaim, 2022. "General equilibrium cryptocurrency pricing in an OLG model," Post-Print hal-04103599, HAL.
    14. Alexis Derviz, 2019. "Coexistence of Physical and Crypto Assets in a Stochastic Endogenous Growth Model," Working Papers 2019/7, Czech National Bank.
    15. 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.
    16. Pierpaolo Benigno, 2023. "Monetary Policy in a World of Cryptocurrencies," Journal of the European Economic Association, European Economic Association, vol. 21(4), pages 1363-1396.
    17. Jonathan Chiu & Mohammad Davoodalhosseini & Janet Hua Jiang & Yu Zhu, 2019. "Bank Market Power and Central Bank Digital Currency: Theory and Quantitative Assessment," Staff Working Papers 19-20, Bank of Canada.
    18. Zimmerman, Peter, 2020. "Blockchain structure and cryptocurrency prices," Bank of England working papers 855, Bank of England.
    19. Martin Ravallion, 2016. "Are the world’s poorest being left behind?," Journal of Economic Growth, Springer, vol. 21(2), pages 139-164, June.
    20. Lin William Cong & Ye Li & Neng Wang, 2021. "Tokenomics: Dynamic Adoption and Valuation [The demand of liquid assets with uncertain lumpy expenditures]," The Review of Financial Studies, Society for Financial Studies, vol. 34(3), pages 1105-1155.

    More about this item

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • D86 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Economics of Contract Law
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation

    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:bas:econst:y:2022:i:4:p:33-54. 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: Diana Dimitrova (email available below). General contact details of provider: https://edirc.repec.org/data/ikbasbg.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.