Optimal Trading with Speed-Dependent Transaction Cost Rates: A Nonparametric Model

42 Pages Posted: 18 Aug 2018 Last revised: 25 Mar 2024

See all articles by Hong Liu

Hong Liu

Washington University in St. Louis - Olin Business School; Fudan University - China Institute of Economics and Finance

Shuaijie Qian

Department of Mathematics, HKUST

Jing Xu

Renmin University of China - School of Finance

Date Written: March 18, 2024

Abstract

The effective transaction cost rate (TCR) incurred by a large trade often depends on the execution speed. We propose a continuous-time work-horse model to study optimal trading strategies with speed-dependent TCRs. The TCR function is largely non-parametric and can approximate general TCR functions of trading speeds. Applying our framework to order execution problems, we theoretically characterize the structure of the optimal trading strategy and numerically analyze it extensively after calibration. When the order to be executed is large, our model implies simultaneously order-shredding strategy and U-shaped trading speeds over time, both of which are commonly observed in practice. Moreover, we show that adopting some intuitive but suboptimal trading strategies can be costly.

Keywords: Portfolio Choice, Transaction Cost, Liquidation, Acquisition

JEL Classification: C02, G11

Suggested Citation

Liu, Hong and Qian, Shuaijie and Xu, Jing, Optimal Trading with Speed-Dependent Transaction Cost Rates: A Nonparametric Model (March 18, 2024). Available at SSRN: https://ssrn.com/abstract=3226508 or http://dx.doi.org/10.2139/ssrn.3226508

Hong Liu (Contact Author)

Washington University in St. Louis - Olin Business School ( email )

One Brookings Drive
Campus Box 1133
St. Louis, MO 63130-4899
United States
314-935-5883 (Phone)

Fudan University - China Institute of Economics and Finance ( email )

China

Shuaijie Qian

Department of Mathematics, HKUST ( email )

Hong Kong
000 (Fax)

Jing Xu

Renmin University of China - School of Finance ( email )

59 Zhongguancun Street
Beijing, 100872
China

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