Optimal Off-Exchange Execution with Closing Price
- 1 Center for Mathematical Modeling and Data Science, Osaka University, Osaka, Japan
- 2 Center for Mathematical Modeling and Data Science, Osaka University, Osaka, Japan
- 3 Graduate School of Economics, Osaka University, Osaka, Japan
Abstract
The purpose of this paper is to examine whether the closing price guaranteed execution is possible contract, and if possible, how an institutional investor who affects the security price allocates execution volumes to both traditional trading and off-exchange (over-the-counter, OTC) trading venues. With a generalized price model at the traditional venue which considers the permanent impact effect explicitly, we derive an optimal execution strategy in the traditional trading venue and the allocation of the order volume to both venues in the framework of dynamic programming. By proving that an optimal execution strategy is in the static class, we further show that the closing price guaranteed contract may be established and the trading volume at the time of agreement of the contract can be controlled. Moreover, by some numerical examples, we illustrate a possibility for the institutional investor to manipulate the market in order to seek a profit under some trading situation.
- Almgren, R. and Chriss, N. (2000) Optimal Execution of Portfolio Transactions. Journal of Risk, 3, 5-39. https://doi.org/10.21314/JOR.2001.041
- Bertsimas, D. and Lo, A. (1998) Optimal Control of Execution Costs. Journal of Financial Markets, 1, 1-50. https://doi.org/10.1016/S1386-4181(97)00012-8
- Obizhaeva, A. and Wang, J. (2013) Optimal Trading Strategy and Supply/Demand Dynamics. Journal of Financial Markets, 16, 1-32. https://doi.org/10.1016/j.finmar.2012.09.001
- Mittal, H. (2008) Are You Playing in a Toxic Dark Pool? A Guide to Preventing Information Leakage. Journal of Trading, 3, 20-33. https://doi.org/10.3905/jot.2008.708833
- Busseti, E. and Boyd, S. (2015) Volume Weighted Average Price Optimal Execution. arXiv:1509.08503v1
- Huberman, G. and Stanzl, W. (2004) Price Manipulation and Quasi-Arbitrage. Econometrica, 74, 1247-1275. https://doi.org/10.1111/j.1468-0262.2004.00531.x
- Guéant, O. and Royer, G. (2014) VWAP Execution and Guaranteed VWAP. SIAM Journal on Financial Mathematics, 5, 445-471. https://doi.org/10.1137/130924676
- Kuno, S. and Ohnishi, M. (2015) Optimal Execution in Illiquid Market with the Absence of Price Manipulation. Journal of Mathematical Finance, 5, 1-14. https://doi.org/10.4236/jmf.2015.51001
- Alfonsi, A., Schied, A. and Slynko, A. (2012) Order Book Resilience, Price Manipulation, and the Positive Portfolio Problem. SIAM Journal on Financial Mathematics, 3, 511-533. https://doi.org/10.1137/110822098
- Huberman, G. and Stanzl, W. (2005) Optimal Liquidity Trading. Review of Finance, 9, 165-200. https://doi.org/10.1007/s10679-005-7591-5
- Gatheral, J. (2010) No-Dynamic-Arbitrage and Market Impact. Quantitative Finance, 10, 749-759. https://doi.org/10.1080/14697680903373692
- Cartea, A. and Jaimungal, S. (2016) A Closed-Form Execution Strategy to Target Volume Weighted Average Price. SIAM Journal on Financial Mathematics, 7, 760-785. http://dx.doi.org/10.1137/16M1058406