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Algorithmic trading and high frequency trading /

Algorithmic trading and high frequency trading /

Abstract

Thesis (PhD(Finance and related studies A))--University of South Australia, 2017. Includes bibliographical references (pages 121-135) This thesis provides one standalone survey essay and three empirical essays on algorithmic trading (AT) and its effect on market qualities. The survey essay reviews the theoretical, empirical, and policy studies on algorithmic and high frequency trading. We review the theoretical literature relating to : (1) market maker-taker dynamics, (2) information content of trades and quotes, and (3) recently incurred or proposed market structural changes. We aim to provide a comprehensive roadmap for future research by surveying the empirical literature with an emphasis on how data and causal events can be identified. Our conclusion includes a brief discussion of policy implications and suggestions for future work.

Country
Australia
Related Organizations
Keywords

Program trading (Securities)., Algorithms., Investment analysis.

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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!
0
Average
Average
Average
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