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