• 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