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Flow Trading

Authors: Budish, Eric; Cramton, Peter; Kyle, Albert S.; Lee, Jeongmin; Malec, David;
Abstract

We propose a new market design for trading financial assets. The design combines three elements: (1) Orders are downward-sloping linear demand curves with quantities expressed as flows; (2) Markets clear in discrete time using uniform-price batch auctions; (3) Traders may submit orders for portfolios of assets, expressed as arbitrary linear combinations with positive and negative weights. Thus, relative to the status quo design: time is discrete instead of continuous, prices and quantities are continuous instead of discrete, and traders can directly trade arbitrary portfolios. Clearing prices and quantities are shown to exist, with the latter unique, despite the wide variety of preferences that can be expressed via portfolio orders; calculating prices and quantities is shown to be computationally feasible; microfoundations for portfolio orders are provided. The proposal addresses six concerns with the current market design: (1) sniping and the speed race; (2) the complexities and inefficiencies caused by tick-size constraints; (3) the cost and complexity of trading large quantities over time, (4) of trading portfolios, and (5) of providing liquidity in correlated assets; (6) fairness and transparency of optimal execution.

Country
Germany
Keywords

330, ddc:330

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    8
    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
8
Top 10%
Average
Top 10%
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