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"Smart" Settlement

Author

Listed:
  • Mariana Khapko

    (University of Toronto)

  • Marius Andrei Zoican

    (DRM - Dauphine Recherches en Management - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique)

Abstract

Blockchain technology allows for flexible settlement of trades. We build a model of intermediated trading with search frictions and counterparty risk. On the one hand, longer trade-to-settlement time increases counterparty risk exposure. On the other hand, liquidity improves since intermediaries have more time to adjust inventories. Optimal time-to-settlement decreases in counterparty risk and search intensity. However, with flexible time-to-settlement intermediaries specialize in either high- or low-default risk contracts. Consequently, price competition is relaxed. Intermediaries earn rents, increasing in their (common) default rate due to larger scope for specialization. A unique time-to-settlement for all trades in a given security improves welfare.

Suggested Citation

  • Mariana Khapko & Marius Andrei Zoican, 2017. ""Smart" Settlement," Post-Print hal-01491563, HAL.
    • Handle: RePEc:hal:journl:hal-01491563
    as

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    Citations

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    Cited by:

    1. Benos, Evangelos & Garratt, Rodney & Gurrola-Perez, Pedro, 2017. "The economics of distributed ledger technology for securities settlement," Bank of England working papers 670, Bank of England.
    2. Hautsch, Nikolaus & Scheuch, Christoph & Voigt, Stefan, 2018. "Limits to arbitrage in markets with stochastic settlement latency," CFS Working Paper Series 616, Center for Financial Studies (CFS).
    3. Don M. Autore & Nicholas Clarke & Danling Jiang, 2021. "Blockchain speculation or value creation? Evidence from corporate investments," Financial Management, Financial Management Association International, vol. 50(3), pages 727-746, September.
    4. Nikolaus Hautsch & Christoph Scheuch & Stefan Voigt, 2018. "Building Trust Takes Time: Limits to Arbitrage for Blockchain-Based Assets," Papers 1812.00595, arXiv.org, revised Oct 2023.
    5. Bruno Biais & Christophe Bisière & Matthieu Bouvard & Catherine Casamatta, 2019. "The Blockchain Folk Theorem," The Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 1662-1715.

    More about this item

    Keywords

    Market design; trade settlement; blockchain; vertical differentiation; D43; D47; G10; G12;
    All these keywords.

    JEL classification:

    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection
    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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