Optimal liquidation using extended trading close for multiple trading days

被引:0
作者
Zhu, Jianchang [1 ]
Zhang, Leilei [2 ]
Sun, Xuchu [3 ]
机构
[1] Nanjing Univ, Sch Business, Nanjing, Peoples R China
[2] Georg August Univ Gottingen, Fak Math & Informat, Gottingen, Germany
[3] Nanjing Univ, Sch Management & Engn, Nanjing, Peoples R China
关键词
Extended trading close; Optimal liquidation; Market impact; Market microstructure; C61; G11; G18; LIMIT; STRATEGIES;
D O I
10.1186/s40854-024-00613-7
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
The extended trading close (ETC) provides institutional investors an opportunity to trade at the closing price after the regular trading session (RTS) and disclosing the order imbalances to other market participants. ETCs exist in the Nasdaq, the SSE STAR, the SZSE ChiNext and the TWSE. To help a risk-averse institutional investor take advantage of the RTS and the ETC for liquidation, we develop a multistage dynamic programming model including the ETC, and derive recursive solutions for the multiple trading days scenario with closed-form solutions for the scenario with only two trading days. We also verify that the ETC is able to mitigate extreme price movements caused by fast liquidation, which is also a goal of the ETC set out by the SSE STAR and the SZSE ChiNext. Finally, we derive three results. First, an institutional investor can reduce execution costs after the introduction of the ETC. Second, a critical trading day exists, and to avoid prematurely revealing trading intentions, the investor should not trade in the ETC until such day. Third, even though the ETC orders submitted by the investor are unfilled, implementation of the ETC encourages the investor to change the liquidation strategy in the RTS, which reduces extreme price movements. In summary, the practical implications of this paper are that the investor should not trade during the ETC on the front few days to avoid prematurely revealing the investor's trading intention by unfilled orders in the ETC and that introducing the ETC can reduce liquidation costs and extreme price movements.
引用
收藏
页数:33
相关论文
共 23 条
[1]   Optimal execution strategies in limit order books with general shape functions [J].
Alfonsi, Aurelien ;
Fruth, Antje ;
Schied, Alexander .
QUANTITATIVE FINANCE, 2010, 10 (02) :143-157
[2]  
Almgren Robert, 2001, J RISK, V3, P5, DOI DOI 10.21314/JOR.2001.041
[3]  
Amstad M., 2020, The Handbook of Chinas Financial System, DOI [https://doi.org/10.2307/j.ctv11vcdpc, DOI 10.2307/J.CTV11VCDPC]
[4]  
[Anonymous], 2010, Appl. Math. Finance
[5]   OPTIMAL TRADE EXECUTION IN ILLIQUID MARKETS [J].
Bayraktar, Erhan ;
Ludkovski, Michael .
MATHEMATICAL FINANCE, 2011, 21 (04) :681-701
[6]  
BERTSIMAS D, 1998, J FINANCIAL MARKETS, V1, P1, DOI DOI 10.1016/S1386-4181(97)00012-8
[7]   Price Discovery without Trading: Evidence from Limit Orders [J].
Brogaard, Jonathan ;
Hendershott, Terrence ;
Riordan, Ryan .
JOURNAL OF FINANCE, 2019, 74 (04) :1621-1658
[8]   High frequency trading and extreme price movements [J].
Brogaard, Jonathan ;
Carrion, Allen ;
Moyaert, Thibaut ;
Riordan, Ryan ;
Shkilko, Andriy ;
Sokolov, Konstantin .
JOURNAL OF FINANCIAL ECONOMICS, 2018, 128 (02) :253-265
[9]  
Brunnermeier M.K., 2020, NBER Working Paper
[10]   Size Discovery [J].
Duffie, Darrell ;
Zhu, Haoxiang .
REVIEW OF FINANCIAL STUDIES, 2017, 30 (04) :1095-1150