DocumentCode
1775210
Title
On optimal risk sensitive execution problem
Author
Wenbo Hu ; Jianjun Gao
Author_Institution
Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China
fYear
2014
fDate
18-20 June 2014
Firstpage
78
Lastpage
83
Abstract
This paper considers the risk sensitive optimal execution problem. In the financial market, trading(buying or selling) of large amount of assets usually causes moving of the price to unfavorable direction and further generates additional trading cost. The optimal execution problem is seeking the best execution strategy(control) in a given horizon to trade(buy or sell) certain amount of asset in order to maximize the profit. In this work, instead of considering the sole objective of maximizing the expected profit, we consider the risk sensitive formulation of such a problem, in which the execution risk is combined implicitly. By using the stochastic control approach, the analytical optimal execution strategy is derived. Using different risk sensitive parameter, our model could generate different mean-variance efficient execution strategy, which provides the investor freedom to adjust the execution strategy. Comparing with the traditional risk neutral formulation, our model shows prominent feature in controlling the execution risk.
Keywords
investment; optimisation; pricing; profitability; risk management; stochastic processes; stock markets; analytical optimal execution strategy; asset buying; asset selling; asset trading; execution risk control; execution strategy adjustment; financial market; investor; mean-variance efficient execution strategy; optimal risk sensitive execution problem; price movement; profit maximization; risk neutral formulation; risk sensitive formulation; risk sensitive parameter; stochastic control approach; trading cost; Covariance matrices; Linear programming; Mathematical model; Standards; Stochastic processes; Tin; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Control & Automation (ICCA), 11th IEEE International Conference on
Conference_Location
Taichung
Type
conf
DOI
10.1109/ICCA.2014.6870899
Filename
6870899
Link To Document