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Liquidity Suppliers and High Frequency Trading

Liquidity suppliers and high frequency trading
Authors: Robert Jarrow; Philip Protter;

Liquidity Suppliers and High Frequency Trading

Abstract

Following [\textit{U. Çetin} et al., Finance Stoch. 8, No. 3, 311--341 (2004; Zbl 1064.60083)] the authors consider a market in which limit orders are represented via a function \(S(t,x)\) modeling the unit price at time \(t\) for an order of size \(x\). They examine the profits realized by specialized traders over traditional traders by trading the asset at the marginal price \(S(t,0)\) rather than at \(S(t,x)\). Both these traders trade discretely in time. High frequency traders have the further advantage that they can break the size \(X_\tau\) of a given order at time \(\tau\) continuously over the period \((\tau,\tau+\varepsilon)\) and thus pay \(X_\tau S(\tau,0)+\int_\tau^{\tau+\varepsilon}Y_sdS(s,0)\) with \(\int_\tau^{\tau+\varepsilon}dY_s=X_\tau\). The analysis is carried out under the crucial assumption that the marginal price process \(S(t,0)\) admits an equivalent (local) martingale measure, a completely straightforward condition although in models with perfectly liquid assets.

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Keywords

front running, martingale measures, Stochastic processes, trading strategies, liquidity costs, Actuarial science and mathematical finance, Martingales with continuous parameter, high frequency trading

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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
Average
Average
Average
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