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SSRNTrading, Microstructure & Execution

Identifying High Frequency Trading Activity without Proprietary Data

The article evaluates the reliability of commonly used indicators to identify high frequency traders, showing variations in performance and suggesting that unscaled proxies are more effective at indicating true HFT activity.

Featured in No. 14 on 30 Aug 2023 · 6 days after release · 4 citations today

Released
24 Aug 2023
First featured
No. 14 · 30 Aug 2023
Citations (Semantic Scholar)
4
Influential citations
0
Published in
Not yet, as far as Semantic Scholar knows
Shares when featured
4
Identifier
SSRN 4551238

Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).

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