Optimal liquidation problem in illiquid markets

Amirhossein Sadoghi and Jan Vecer
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Amirhossein Sadoghi: ESC [Rennes] - ESC Rennes School of Business
Jan Vecer: UK - Univerzita Karlova [Praha, Česká republika] = Charles University [Prague, Czech Republic], Frankfurt School of Finance and Management

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Abstract: In this research, we develop a trading strategy for the optimal liquidation problem of large-order trading, with different market microstructures, in an illiquid market. We formulate the liquidation problem as a discrete-time Markov decision process. In this market, the flow of liquidity events can be viewed as a point process with stochastic intensity. Based on this fact, we model the price impact as a linear function of a self-exciting dynamic process. Our trading algorithm is designed in such a way that when no favourite orders arrive in the Limit Order Book (LOB), the optimal solution takes offers from the lower levels of the LOB. This solution might contradict conventional optimal execution methods, which only trade with the best available limit orders; however, our findings show that the proposed strategy may reduce final inventory costs by preventing orders not being filled at earlier trading times. Furthermore, the results indicate that an optimal trading strategy is dependent on characteristics of the market microstructure.

Keywords: Finance; Optimal liquidation problem; Illiquid market; Markov-modulated poisson process; Hawkes processes (search for similar items in EconPapers)
Date: 2022-02
New Economics Papers: this item is included in nep-mst
Note: View the original document on HAL open archive server: https://rennes-sb.hal.science/hal-03696768
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Citations: View citations in EconPapers (3)

Published in European Journal of Operational Research, 2022, 296 (3), pp.1050-1066. ⟨10.1016/j.ejor.2021.05.020⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03696768

DOI: 10.1016/j.ejor.2021.05.020

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