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Optimal VWAP trading under noisy conditions

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  • Humphery-Jenner, Mark L.

Abstract

This article proposes an empirically tractable way to incorporate intra-day noise into a VWAP trading rule. In volatile markets, news arrives unexpectedly and rapidly. This should influence a trader's trading decisions. However, the literature has not incorporated such information into an algorithmic trading framework. Subsequently, this paper presents a Dynamic VWAP (DVWAP) framework that allows informed traders to utilize random news; and thus, improve trade-execution.

Suggested Citation

  • Humphery-Jenner, Mark L., 2011. "Optimal VWAP trading under noisy conditions," Journal of Banking & Finance, Elsevier, vol. 35(9), pages 2319-2329, September.
    • Handle: RePEc:eee:jbfina:v:35:y:2011:i:9:p:2319-2329
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    References listed on IDEAS

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    Cited by:

    1. Frei, Christoph & Mitra, Joshua, 2021. "Optimal closing benchmarks," Finance Research Letters, Elsevier, vol. 40(C).
    2. Olivier Gu'eant & Guillaume Royer, 2013. "VWAP execution and guaranteed VWAP," Papers 1306.2832, arXiv.org, revised May 2014.
    3. Szűcs, Balázs Árpád, 2017. "Forecasting intraday volume: Comparison of two early models," Finance Research Letters, Elsevier, vol. 21(C), pages 249-258.
    4. Wang, Kaiyang & Yang, Haizhen, 2018. "The price-volume relationship caused by asset allocation based on Kelly criterion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 1-8.
    5. Markus Baldauf & Christoph Frei & Joshua Mollner, 2022. "Principal Trading Arrangements: When Are Common Contracts Optimal?," Management Science, INFORMS, vol. 68(4), pages 3112-3128, April.
    6. Dutt, Tanuj & Humphery-Jenner, Mark, 2013. "Stock return volatility, operating performance and stock returns: International evidence on drivers of the ‘low volatility’ anomaly," Journal of Banking & Finance, Elsevier, vol. 37(3), pages 999-1017.
    7. Humphery-Jenner, M., 2011. "High Frequency Trading, Information, and Takeovers," Other publications TiSEM 30aa1477-0fb2-46ed-a5eb-f, Tilburg University, School of Economics and Management.
    8. Qixuan Luo & Yu Shi & Xuan Zhou & Handong Li, 2021. "Research on the Effects of Institutional Liquidation Strategies on the Market Based on Multi-agent Model," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1025-1049, December.
    9. Christopher Kath & Florian Ziel, 2020. "Optimal Order Execution in Intraday Markets: Minimizing Costs in Trade Trajectories," Papers 2009.07892, arXiv.org, revised Oct 2020.
    10. Enzo Busseti & Stephen Boyd, 2015. "Volume Weighted Average Price Optimal Execution," Papers 1509.08503, arXiv.org.
    11. P. B. Lerner, 2020. "Dual State-Space Model of Market Liquidity: The Chinese Experience 2009-2010," Papers 2004.06200, arXiv.org, revised May 2020.
    12. Humphery-Jenner, M., 2011. "High Frequency Trading, Information, and Takeovers," Other publications TiSEM 0e6dd147-6f57-4f32-b265-f, Tilburg University, School of Economics and Management.
    13. Humphery-Jenner, M., 2011. "High Frequency Trading, Information, and Takeovers," Discussion Paper 2011-047, Tilburg University, Center for Economic Research.
    14. Peter B. Lerner, 2022. "Fourier Integral Operator Model of Market Liquidity: The Chinese Experience 2009–2010," Mathematics, MDPI, vol. 10(14), pages 1-25, July.
    15. Olivier Guéant, 2016. "The Financial Mathematics of Market Liquidity: From Optimal Execution to Market Making," Post-Print hal-01393136, HAL.
    16. Olivier Guéant & Royer Guillaume, 2014. "VWAP execution and guaranteed VWAP," Post-Print hal-01393121, HAL.

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