Jing Nie
The impact of high speed quoting on execution risk dynamics: Evidence from interest rate futures markets
Nie, Jing; Malagon, Juliana; Williams, Julian
Abstract
This paper intends to characterize the effect of high-frequency quoting (HFQ) on the execution risk of Eurodollar futures. We construct a unique data set to capture the quoting and trading activities within the limit order book, which allows us to classify the realised fraction of HFQ activity within the market. We then estimate the marginal effect of the HFQ fraction on the execution risk through a novel semi-parametric regression. The results suggest that the effect of HFQ on market quality is nonlinear with critical saturation levels. The HFQ effects on market quality seem to disappear once certain critical points are reached.
Citation
Nie, J., Malagon, J., & Williams, J. (2022). The impact of high speed quoting on execution risk dynamics: Evidence from interest rate futures markets. Journal of Futures Markets, 42(8), 1434-1465. https://doi.org/10.1002/fut.22339
Journal Article Type | Article |
---|---|
Acceptance Date | Apr 21, 2022 |
Online Publication Date | May 16, 2022 |
Publication Date | 2022-08 |
Deposit Date | Jun 27, 2022 |
Publicly Available Date | May 17, 2024 |
Journal | Journal of Futures Markets |
Print ISSN | 0270-7314 |
Electronic ISSN | 1096-9934 |
Publisher | Wiley |
Peer Reviewed | Peer Reviewed |
Volume | 42 |
Issue | 8 |
Pages | 1434-1465 |
DOI | https://doi.org/10.1002/fut.22339 |
Public URL | https://durham-repository.worktribe.com/output/1200068 |
Files
Accepted Journal Article
(4.1 Mb)
PDF
Copyright Statement
This is the peer reviewed version of the following article: Nie, Jing, Malagon, Juliana & Williams, Julian (2022). The impact of high speed quoting on execution risk dynamics: Evidence from interest rate futures markets. Journal of Futures Markets 42(8): 1434-1465, which has been published in final form at https://doi.org/10.1002/fut.22339. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.
You might also like
JUNE: open-source individual-based epidemiology simulation
(2021)
Journal Article
The Work-Averse Cyber Attacker Model: Theory and Evidence From Two Million Attack Signatures
(2021)
Journal Article
Testing the Eigenvalue Structure of Spot and Integrated Covariance
(2021)
Journal Article
Economics of Surveillance
(2021)
Book Chapter
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search