IDEAS home Printed from https://ideas.repec.org/p/crs/wpaper/2024-10.html
   My bibliography  Save this paper

Latency Tradeoffs in Blockchain Capacity Management

Author

Listed:
  • Michele Fabi

    (Telecom Paris, CREST, IP Paris)

Abstract

We analyze the effect of block propagation latency on the performance and design of Nakamoto-style blockchains. Miners strategically choose block capacity, balancing the risk of invalidation from forking with transaction fee income. The model identifies a unique and symmetric Nash equilibrium block capacity, which increases with the ratio of block production time to transmission delay and decreases with the ratio of coinbase reward to transaction fee rate. We endogenize blockchain growth and derive the Fokker-Planck equation for pending mempool data. The results reveal a tradeoff between efficiency (low transaction load) and security (high miner participation). Reducing the coinbase reward while raising transaction fees improves efficiency but may weaken security. We also discuss testable implications and extend the model to include uncle block rewards and discrete latency.

Suggested Citation

  • Michele Fabi, 2024. "Latency Tradeoffs in Blockchain Capacity Management," Working Papers 2024-10, Center for Research in Economics and Statistics.
  • Handle: RePEc:crs:wpaper:2024-10
    as

    Download full text from publisher

    File URL: http://crest.science/RePEc/wpstorage/2024-10.pdf
    File Function: CREST working paper version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tim Roughgarden, 2020. "Transaction Fee Mechanism Design for the Ethereum Blockchain: An Economic Analysis of EIP-1559," Papers 2012.00854, arXiv.org.
    2. Tim Roughgarden, 2021. "Transaction Fee Mechanism Design," Papers 2106.01340, arXiv.org, revised Dec 2023.
    3. Nicolas Houy, 2014. "The economics of Bitcoin transaction fees," Working Papers halshs-00951358, HAL.
    4. Hao Chung & Elaine Shi, 2021. "Foundations of Transaction Fee Mechanism Design," Papers 2111.03151, arXiv.org, revised Nov 2022.
    5. Álvaro Cartea & Leandro Sánchez-Betancourt, 2023. "Optimal execution with stochastic delay," Finance and Stochastics, Springer, vol. 27(1), pages 1-47, January.
    6. Eric Budish & Peter Cramton & John Shim, 2015. "Editor's Choice The High-Frequency Trading Arms Race: Frequent Batch Auctions as a Market Design Response," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(4), pages 1547-1621.
    7. Echenique, Federico & Edlin, Aaron, 2004. "Mixed equilibria are unstable in games of strategic complements," Journal of Economic Theory, Elsevier, vol. 118(1), pages 61-79, September.
    8. Easley, David & O'Hara, Maureen & Basu, Soumya, 2019. "From mining to markets: The evolution of bitcoin transaction fees," Journal of Financial Economics, Elsevier, vol. 134(1), pages 91-109.
    9. Xuefeng Gao & Yunhan Wang, 2020. "Optimal market making in the presence of latency," Quantitative Finance, Taylor & Francis Journals, vol. 20(9), pages 1495-1512, September.
    10. Xuefeng Gao & Yunhan Wang, 2018. "Optimal Market Making in the Presence of Latency," Papers 1806.05849, arXiv.org, revised Mar 2020.
    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. Luyao Zhang & Fan Zhang, 2023. "Understand Waiting Time in Transaction Fee Mechanism: An Interdisciplinary Perspective," Papers 2305.02552, arXiv.org.
    2. Yulin Liu & Yuxuan Lu & Kartik Nayak & Fan Zhang & Luyao Zhang & Yinhong Zhao, 2022. "Empirical Analysis of EIP-1559: Transaction Fees, Waiting Time, and Consensus Security," Papers 2201.05574, arXiv.org, revised Apr 2023.
    3. Eduard Hartwich & Alexander Rieger & Johannes Sedlmeir & Dominik Jurek & Gilbert Fridgen, 2023. "Machine economies," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-13, December.
    4. Saggese, Pietro & Belmonte, Alessandro & Dimitri, Nicola & Facchini, Angelo & Böhme, Rainer, 2023. "Arbitrageurs in the Bitcoin ecosystem: Evidence from user-level trading patterns in the Mt. Gox exchange platform," Journal of Economic Behavior & Organization, Elsevier, vol. 213(C), pages 251-270.
    5. Sajter Domagoj, 2022. "Overseas Transaction Fees: Sending Money via Bitcoin vs. Banks," Zagreb International Review of Economics and Business, Sciendo, vol. 25(s1), pages 65-83.
    6. Gao, Xuefeng & Xu, Tianrun, 2022. "Order scoring, bandit learning and order cancellations," Journal of Economic Dynamics and Control, Elsevier, vol. 134(C).
    7. Bertucci, Louis, 2024. "Bitcoin Ordinals: Determinants and impact on total transaction fees," Research in International Business and Finance, Elsevier, vol. 70(PA).
    8. Bonaparte, Yosef & Bernile, Gennaro, 2023. "A new “Wall Street Darling?” effects of regulation sentiment in cryptocurrency markets," Finance Research Letters, Elsevier, vol. 52(C).
    9. Yan, Guanghui & Wang, Shan & Li, Shikui & Lu, Binwei, 2022. "Multi-player dynamic game model for Bitcoin transaction bidding prediction," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
    10. Andrea Canidio & Vincent Danos, 2024. "Commitment Against Front-Running Attacks," Management Science, INFORMS, vol. 70(7), pages 4429-4440, July.
    11. Yotam Gafni & Aviv Yaish, 2022. "Discrete & Bayesian Transaction Fee Mechanisms," Papers 2210.07793, arXiv.org, revised May 2024.
    12. Joseph Jerome & Leandro Sanchez-Betancourt & Rahul Savani & Martin Herdegen, 2022. "Model-based gym environments for limit order book trading," Papers 2209.07823, arXiv.org.
    13. Yuxuan Lu & Qian Qi & Xi Chen, 2023. "A Framework of Transaction Packaging in High-throughput Blockchains," Papers 2301.10944, arXiv.org.
    14. Juanjuan Li & Yong Yuan & Fei-Yue Wang, 2022. "Analyzing Bitcoin transaction fees using a queueing game model," Electronic Commerce Research, Springer, vol. 22(1), pages 135-155, March.
    15. Kim, Daehan & Ryu, Doojin & Webb, Robert I., 2023. "Determination of equilibrium transaction fees in the Bitcoin network: A rank-order contest," International Review of Financial Analysis, Elsevier, vol. 86(C).
    16. Jiafa He & Cong Zheng & Can Yang, 2023. "Integrating Tick-level Data and Periodical Signal for High-frequency Market Making," Papers 2306.17179, arXiv.org.
    17. Silvia Bartolucci & Fabio Caccioli & Pierpaolo Vivo, 2019. "A percolation model for the emergence of the Bitcoin Lightning Network," Papers 1912.03556, arXiv.org.
    18. Jonathan Ch'avez-Casillas & Jos'e E. Figueroa-L'opez & Chuyi Yu & Yi Zhang, 2024. "Adaptive Optimal Market Making Strategies with Inventory Liquidation Cos," Papers 2405.11444, arXiv.org.
    19. Jain, Archana & Jain, Chinmay & Krystyniak, Karolina, 2023. "Blockchain transaction fee and Ethereum Merge," Finance Research Letters, Elsevier, vol. 58(PC).
    20. Álvaro Cartea & Leandro Sánchez-Betancourt, 2023. "Optimal execution with stochastic delay," Finance and Stochastics, Springer, vol. 27(1), pages 1-47, January.

    More about this item

    Keywords

    Blockchain design; Nakamoto consensus; forks; coinbase; stochastic storage;
    All these keywords.

    JEL classification:

    • C62 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Existence and Stability Conditions of Equilibrium
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    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:crs:wpaper:2024-10. 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: Secretariat General (email available below). General contact details of provider: https://edirc.repec.org/data/crestfr.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.