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Decentralized Finance (DeFi) Projects: A Study of Key Performance Indicators in Terms of DeFi Protocols’ Valuations

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  • Dominik Metelski

    (Department of International and Spanish Economics, Faculty of Economics and Business Sciences, University of Granada, 18071 Granada, Spain)

  • Janusz Sobieraj

    (Department of Building Engineering, Warsaw University of Technology, 00-637 Warsaw, Poland)

Abstract

Decentralized finance (DeFi) protocols use blockchain-based tools to mimic banking, investment and trading solutions and provide a viable framework that creates incentives and conditions for the development of an alternative financial services market. In this respect, they can be seen as alternative financial vehicles that mitigate portfolio risk, which is particularly important at a time of increasing uncertainty in financial markets. In particular, some DeFi protocols offer an automated, low-risk way to generate returns through a “delta-neutral” trading strategy that reduces volatility. The main financial operations of DeFi protocols are implemented using appropriate algorithms, but unlike traditional finance, where issues of value and valuation are commonplace, DeFis lack a similar value-based analysis. The aim of this study is to evaluate relevant DeFi performance metrics related to the valuations of these protocols through a thorough analysis based on various scientific methods and to show what influences the valuations of these protocols. More specifically, the study identifies how DeFi protocol valuations depend on the total value locked and other performance variables, such as protocol revenue, total revenue, gross merchandise volume and inflation factor, and assesses these relationships. The study analyzes the valuations of 30 selected protocols representing three different classes of DeFi (i.e., decentralized exchanges, lending protocols and asset management) in relation to their respective performance measures. The analysis presented in the article is quantitative in nature and relies on Granger causality tests as well as the results of a fixed effects panel regression model. The results show that the valuations of DeFi protocols depend to some extent on the performance measures of these protocols under study, although the magnitude of the relationships and their directions differ for the different variables. The Granger causality test could not confirm that future DeFi protocol valuations can be effectively predicted by the TVLs of these protocols, while other directions of causality (one-way and two-way) were confirmed, e.g., a two-way causal relationship between DeFi protocol valuations and gross merchandise volume, which turned out to be the only variable that Granger-causes future DeFi protocol valuations.

Suggested Citation

  • Dominik Metelski & Janusz Sobieraj, 2022. "Decentralized Finance (DeFi) Projects: A Study of Key Performance Indicators in Terms of DeFi Protocols’ Valuations," IJFS, MDPI, vol. 10(4), pages 1-23, November.
    • Handle: RePEc:gam:jijfss:v:10:y:2022:i:4:p:108-:d:984670
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    References listed on IDEAS

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    1. Pablo D. Azar & Garth Baughman & Francesca Carapella & Jacob Gerszten & Arazi Lubis & JP Perez-Sangimino & David E. Rappoport & Chiara Scotti & Nathan Swem & Alexandros Vardoulakis & Aurite Werman, 2022. "The Financial Stability Implications of Digital Assets," Staff Reports 1034, Federal Reserve Bank of New York.
    2. Janusz Sobieraj & Dominik Metelski, 2021. "Testing Housing Markets for Episodes of Exuberance: Evidence from Different Polish Cities," JRFM, MDPI, vol. 14(9), pages 1-29, September.
    3. Walter N. Thurman & Mark E. Fisher, 1988. "Chickens, Eggs, and Causality, or Which Came First?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(2), pages 237-238.
    4. Vijay Mohan, 2022. "Automated market makers and decentralized exchanges: a DeFi primer," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-48, December.
    5. Yousaf, Imran & Yarovaya, Larisa, 2022. "Static and dynamic connectedness between NFTs, Defi and other assets: Portfolio implication," Global Finance Journal, Elsevier, vol. 53(C).
    6. Kanis Saengchote, 2021. "Where Do DeFi Stablecoins Go? A Closer Look at What DeFi Composability Really Means," PIER Discussion Papers 156, Puey Ungphakorn Institute for Economic Research.
    7. Yizhi Wang & Florian Horky & Lennart J. Baals & Brian M. Lucey & Samuel A. Vigne, 2022. "Bubbles all the way down? Detecting and date-stamping bubble behaviours in NFT and DeFi markets," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 20(4), pages 415-436, October.
    8. 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.
    9. Yousaf, Imran & Nekhili, Ramzi & Gubareva, Mariya, 2022. "Linkages between DeFi assets and conventional currencies: Evidence from the COVID-19 pandemic," International Review of Financial Analysis, Elsevier, vol. 81(C).
    10. Maouchi, Youcef & Charfeddine, Lanouar & El Montasser, Ghassen, 2022. "Understanding digital bubbles amidst the COVID-19 pandemic: Evidence from DeFi and NFTs," Finance Research Letters, Elsevier, vol. 47(PA).
    11. Yukun Liu & Aleh Tsyvinski, 2021. "Risks and Returns of Cryptocurrency," The Review of Financial Studies, Society for Financial Studies, vol. 34(6), pages 2689-2727.
    12. Lewis Gudgeon & Sam M. Werner & Daniel Perez & William J. Knottenbelt, 2020. "DeFi Protocols for Loanable Funds: Interest Rates, Liquidity and Market Efficiency," Papers 2006.13922, arXiv.org, revised Oct 2020.
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    1. Ioannis Karakostas & Konstantinos Pantelidis, 2024. "DAO Dynamics: Treasury and Market Cap Interaction," JRFM, MDPI, vol. 17(5), pages 1-23, April.
    2. Yichen Luo & Yebo Feng & Jiahua Xu & Paolo Tasca, 2024. "Piercing the Veil of TVL: DeFi Reappraised," Papers 2404.11745, arXiv.org, revised May 2024.

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