IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2009.07086.html
   My bibliography  Save this paper

Optimal Bidding Strategy for Maker Auctions

Author

Listed:
  • Michael Darlin
  • Nikolaos Papadis
  • Leandros Tassiulas

Abstract

The Maker Protocol is a decentralized finance application that enables collateralized lending. The application uses open-bid, second-price auctions to complete its loan liquidation process. In this paper, we develop a bidding function for these auctions, focusing on the costs incurred to participate in the auctions. We then optimize these costs using parameters from historical auction data, and compare our optimal bidding prices to the historical auction prices. We find that the majority of auctions end at higher prices than our recommended optimal prices, and we propose several theories for these results.

Suggested Citation

  • Michael Darlin & Nikolaos Papadis & Leandros Tassiulas, 2020. "Optimal Bidding Strategy for Maker Auctions," Papers 2009.07086, arXiv.org, revised May 2021.
    • Handle: RePEc:arx:papers:2009.07086
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2009.07086
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Milgrom,Paul, 2004. "Putting Auction Theory to Work," Cambridge Books, Cambridge University Press, number 9780521536721, October.
    2. Samuelson, William F., 1985. "Competitive bidding with entry costs," Economics Letters, Elsevier, vol. 17(1-2), pages 53-57.
    3. Guillermo Angeris & Tarun Chitra, 2020. "Improved Price Oracles: Constant Function Market Makers," Papers 2003.10001, arXiv.org, revised Jun 2020.
    4. Paul Klemperer, 2004. "Auctions: Theory and Practice," Online economics textbooks, SUNY-Oswego, Department of Economics, number auction1.
    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. Kaihua Qin & Liyi Zhou & Pablo Gamito & Philipp Jovanovic & Arthur Gervais, 2021. "An Empirical Study of DeFi Liquidations: Incentives, Risks, and Instabilities," Papers 2106.06389, arXiv.org, revised Oct 2021.
    2. Massimo Bartoletti & James Hsin-yu Chiang & Alberto Lluch-Lafuente, 2020. "SoK: Lending Pools in Decentralized Finance," Papers 2012.13230, arXiv.org.

    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. Sweeting, Andrew & Bhattacharya, Vivek, 2015. "Selective entry and auction design," International Journal of Industrial Organization, Elsevier, vol. 43(C), pages 189-207.
    2. Scott Duke Kominers & Alexander Teytelboym & Vincent P Crawford, 2017. "An invitation to market design," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 33(4), pages 541-571.
    3. Alessandra Casella & Adam B. Cox, 2018. "A Property Rights Approach to Temporary Work Visas," The Journal of Legal Studies, University of Chicago Press, vol. 47(S1), pages 195-227.
    4. A. Talman & Zaifu Yang, 2015. "An efficient multi-item dynamic auction with budget constrained bidders," International Journal of Game Theory, Springer;Game Theory Society, vol. 44(3), pages 769-784, August.
    5. van der Laan, G. & Talman, Dolf & Yang, Z., 2018. "Equilibrium in the Assignment Market under Budget Constraints," Discussion Paper 2018-046, Tilburg University, Center for Economic Research.
    6. Jonathan Levin & Andrzej Skrzypacz, 2016. "Properties of the Combinatorial Clock Auction," American Economic Review, American Economic Association, vol. 106(9), pages 2528-2551, September.
    7. Brânzei, R. & Fragnelli, V. & Meca, A. & Tijs, S.H., 2006. "Two Classes of Cooperative Games Related to One-Object Auction Situations," Discussion Paper 2006-25, Tilburg University, Center for Economic Research.
    8. Ganuza, Juan José & Viecens, María Fernanda, 2011. "Deployment of high-speed broadband infrastructures during the economic crisis. The case of Xarxa Oberta," Telecommunications Policy, Elsevier, vol. 35(9), pages 857-870.
    9. Sven-Olof Fridolfsson and Thomas P. Tangeras, 2015. "Nuclear Capacity Auctions," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    10. Ralph-Christopher Bayer, 2016. "A Primer on Auction Design, Management, and Strategy , by David J. Salant ( MIT Press , Cambridge, London , 2014 ), pp. 184 ," The Economic Record, The Economic Society of Australia, vol. 92(298), pages 507-508, September.
    11. Eric Budish & Judd B. Kessler, 2022. "Can Market Participants Report Their Preferences Accurately (Enough)?," Management Science, INFORMS, vol. 68(2), pages 1107-1130, February.
    12. Zhen Li & Ching-Chung Kuo, 2013. "Design of discrete Dutch auctions with an uncertain number of bidders," Annals of Operations Research, Springer, vol. 211(1), pages 255-272, December.
    13. Satoru Fujishige & Zaifu Yang, 2020. "A Universal Dynamic Auction for Unimodular Demand Types: An Efficient Auction Design for Various Kinds of Indivisible Commodities," Discussion Papers 20/08, Department of Economics, University of York.
    14. Estrella Alonso & Joaquín Sánchez-Soriano & Juan Tejada, 2020. "Mixed Mechanisms for Auctioning Ranked Items," Mathematics, MDPI, vol. 8(12), pages 1-26, December.
    15. Nicola Dimitri, 2021. "The “Italian Football Federation Auction” for Co-ownership Resolution," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 58(2), pages 275-285, March.
    16. Li, Zhen & Kuo, Ching-Chung, 2011. "Revenue-maximizing Dutch auctions with discrete bid levels," European Journal of Operational Research, Elsevier, vol. 215(3), pages 721-729, December.
    17. Ning Sun & Zaifu Yang, 2014. "An Efficient and Incentive Compatible Dynamic Auction for Multiple Complements," Journal of Political Economy, University of Chicago Press, vol. 122(2), pages 422-466.
    18. Jarl G. Kallberg & Crocker H. Liu & Adam Nowak, 2021. "An Empirical Analysis of Double Round Auctions," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 49(2), pages 531-555, June.
    19. Paulo Fagandini & Ingemar Dierickx, 2023. "Computing Profit-Maximizing Bid Shading Factors in First-Price Sealed-Bid Auctions," Computational Economics, Springer;Society for Computational Economics, vol. 61(3), pages 1009-1035, March.
    20. Fabian Muniesa & Michel Callon, 2008. "La performativité des sciences économiques," CSI Working Papers Series 010, Centre de Sociologie de l'Innovation (CSI), Mines ParisTech.

    More about this item

    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:arx:papers:2009.07086. 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    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.