Stochastic Control for Optimal Execution: Fast Approximation Solution Scheme Under Nested Mean-semi Deviation and Conditional Value at Risk

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Online published: 2017-06-30

Abstract

When executing a large order of stocks in a market, one important factor in
forming the optimal trading strategy is to consider the price impact of large-volume
trading activity. Minimizing a risk measure of the implementation shortfall, i.e., the
difference between the value of a trader’s initial equity position and the sum of cash
flow he receives from his trading process, is essentially a stochastic control problem.
In this study, we investigate such a practical problem under a dynamic coherent risk
measure in a market in which the stock price dynamics has a feature of momentum
effect. We develop a fast approximation solution scheme, which is critical in highfrequency
trading. We demonstrate some prominent features of our derived solution
algorithm in providing useful guidance for real implementation.

Cite this article

Meng-Fei He · Duan Li · Yuan-Yuan Chen . Stochastic Control for Optimal Execution: Fast Approximation Solution Scheme Under Nested Mean-semi Deviation and Conditional Value at Risk[J]. Journal of the Operations Research Society of China, 2017 , 5(2) : 161 . DOI: 10.1007/s40305-017-0162-6

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