• DocumentCode
    3061983
  • Title

    Optimal Submission Problem in a Limit Order Book with VaR Constraints

  • Author

    Song, Na ; Ching, Wai-Ki ; Siu, Tak-Kuen ; Yiu, Cedric

  • Author_Institution
    Dept. of Math., Univ. of Hong Kong, Hong Kong, China
  • fYear
    2012
  • fDate
    23-26 June 2012
  • Firstpage
    266
  • Lastpage
    270
  • Abstract
    We consider an optimal selection problem for bid and ask quotes subject to a value-at-Risk (VaR) constraint when arrivals of the buy and sell orders are governed by a Poisson process. The problem is formulated as a constrained utility maximization problem over a finite time horizon. Using a diffusion approximation to Poisson arrivals of market orders, the dynamic programming principle can be applied here. We propose an efficient procedure to solve this constrained utility maximization problem based on a successive approximation algorithm. Numerical examples with and without the VaR constraint are used to illustrate the effect of the risk constraint on the dealer´s choices. We also conduct numerical experiments to analyze the impacts of the risk constraint on dealer´s terminal profit.
  • Keywords
    approximation theory; dynamic programming; stochastic processes; Poisson arrivals of market orders; Poisson process; VaR constraints; approximation algorithm; ask quotes subject; bid subject; constrained utility maximization problem; dynamic programming principle; finite time horizon; limit order book; optimal selection problem; optimal submission problem; value-at-risk constraint; Approximation algorithms; Approximation methods; Computational modeling; Equations; Mathematical model; Numerical models; Reactive power; Diffusion Approximation; HJB equations; High-frequency trading; Limit Order Book; VaR;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization (CSO), 2012 Fifth International Joint Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4673-1365-0
  • Type

    conf

  • DOI
    10.1109/CSO.2012.66
  • Filename
    6274724