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Blockchain price oracles: Accuracy and violation recovery

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Listed:
  • Nadler, Matthias
  • Schuler, Katrin
  • Schär, Fabian

Abstract

Reliable asset price data are critical for the functioning of decentralized finance (DeFi) protocols, particularly those involving collateralized lending. The accuracy of blockchain-based price oracles directly affects key processes such as collateral valuation, liquidation, and risk management. This paper presents a comprehensive empirical analysis of Chainlink Price Feeds (CPFs), the dominant oracle infrastructure in DeFi. We compile a novel dataset of over 150 million observations from 40 CPFs on Ethereum over an 18-month period, matched to benchmark prices from a centralized exchange. To identify the determinants of oracle inaccuracy, we estimate pooled OLS and fixed effects regressions, relating price deviations to design parameters, reporter dynamics, and market conditions. We then introduce a Markov-like state transition framework to model the resolution of target corridor violations, using multinomial logistic regression to estimate transition probabilities. Finally, we exploit position-level data from one of the largest decentralized lending markets and apply entity fixed effects regressions to examine how users adjust collateralization in response to oracle design. Our findings highlight economically significant deviations that are systematically related to oracle accuracy configurations and market stress, and show that users internalize these risks in their financial decisions. The results offer new insights for the design of resilient oracle systems and the management of risk in decentralized financial markets.

Suggested Citation

  • Nadler, Matthias & Schuler, Katrin & Schär, Fabian, 2026. "Blockchain price oracles: Accuracy and violation recovery," Journal of Corporate Finance, Elsevier, vol. 96(C).
    • Handle: RePEc:eee:corfin:v:96:y:2026:i:c:s0929119925001762
    DOI: 10.1016/j.jcorpfin.2025.102908
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    References listed on IDEAS

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    1. Fabian Schär, 2021. "Decentralized Finance: On Blockchain- and Smart Contract-Based Financial Markets," Review, Federal Reserve Bank of St. Louis, vol. 103(2), pages 153-174, April.
    2. Lin William Cong & Eswar S. Prasad & Daniel Rabetti, 2025. "Financial and Informational Integration Through Oracle Networks," NBER Working Papers 33639, National Bureau of Economic Research, Inc.
    3. Bessembinder, Hendrik & Maxwell, William & Venkataraman, Kumar, 2006. "Market transparency, liquidity externalities, and institutional trading costs in corporate bonds," Journal of Financial Economics, Elsevier, vol. 82(2), pages 251-288, November.
    4. Lin William Cong & Xi Li & Ke Tang & Yang Yang, 2023. "Crypto Wash Trading," Management Science, INFORMS, vol. 69(11), pages 6427-6454, November.
    5. Epps, Thomas W & Epps, Mary Lee, 1976. "The Stochastic Dependence of Security Price Changes and Transaction Volumes: Implications for the Mixture-of-Distributions Hypothesis," Econometrica, Econometric Society, vol. 44(2), pages 305-321, March.
    6. Guillermo Angeris & Tarun Chitra, 2020. "Improved Price Oracles: Constant Function Market Makers," Papers 2003.10001, arXiv.org, revised Jun 2020.
    7. Whitney Newey & Kenneth West, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    8. Schuler, Katrin & Nadler, Matthias & Schär, Fabian, 2023. "Contagion and loss redistribution in crypto asset markets," Economics Letters, Elsevier, vol. 231(C).
    9. Alfred Lehar & Christine Parlour, 2025. "Decentralized Exchange: The Uniswap Automated Market Maker," Journal of Finance, American Finance Association, vol. 80(1), pages 321-374, February.
    10. Alfred Lehar & Christine A Parlour, 2022. "Systemic fragility in decentralised markets," BIS Working Papers 1062, Bank for International Settlements.
    11. Darrell Duffie & Jeremy C. Stein, 2015. "Reforming LIBOR and Other Financial Market Benchmarks," Journal of Economic Perspectives, American Economic Association, vol. 29(2), pages 191-212, Spring.
    12. Daniel Perez & Sam M. Werner & Jiahua Xu & Benjamin Livshits, 2020. "Liquidations: DeFi on a Knife-edge," Papers 2009.13235, arXiv.org, revised Dec 2021.
    13. Sam M. Werner & Daniel Perez & Lewis Gudgeon & Ariah Klages-Mundt & Dominik Harz & William J. Knottenbelt, 2021. "SoK: Decentralized Finance (DeFi)," Papers 2101.08778, arXiv.org, revised Sep 2022.
    14. Brennan, Michael J & Jegadeesh, Narasimhan & Swaminathan, Bhaskaran, 1993. "Investment Analysis and the Adjustment of Stock Prices to Common Information," The Review of Financial Studies, Society for Financial Studies, vol. 6(4), pages 799-824.
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    JEL classification:

    • G29 - Financial Economics - - Financial Institutions and Services - - - Other
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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