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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Hyper Article en Lig...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
SSRN Electronic Journal
Article . 2016 . Peer-reviewed
Data sources: Crossref
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'Smart' Settlement

Authors: Khapko, Mariana; Zoican, Marius Andrei;

'Smart' Settlement

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.

Keywords

blockchain, trade settlement, Market design, vertical differentiation, G10, D47, G12, [SHS.GESTION] Humanities and Social Sciences/Business administration, D43

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Top 10%
Top 10%
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