• DocumentCode
    393762
  • Title

    A process control approach to investment risk

  • Author

    MacLean, Leonard ; Zhao, Yonggan ; Ziemba, William

  • Author_Institution
    Sch. of Bus. Adm., Dalhousie Univ., Halifax, NS, Canada
  • fYear
    2003
  • fDate
    20-23 March 2003
  • Firstpage
    265
  • Lastpage
    270
  • Abstract
    The problem of misdirected investment strategies based on erroneous forecasts is the motivation for a Process Control (PC) approach to volatility and risk. Upper and lower limits on the capital accumulation process are used to determine if the current investment strategy continues. If a limit is reached then rebalancing occurs, where returns are re-estimated, new limits are established and a new strategy is determined. This variable planning horizon approach is compared to the standard Value-at-Risk (VaR) methodology, where the time horizon is fixed. In an application to asset allocation involving stocks, bonds and cash, it is shown that for any VaR strategy there exists process control limits so that the corresponding PC strategy has greater expected return with equivalent downside risk. The advantage in the process control approach comes from intervening when the wealth process deviates significantly from expectations.
  • Keywords
    economic cybernetics; investment; Process Control approach; Value-at-Risk methodology; capital accumulation; capital accumulation process; current investment strategy; equivalent downside risk; erroneous forecasts; misdirected investment strategies; portfolio rebalance; rebalancing; time horizon; Asset management; Business; Investments; Portfolios; Process control; Reactive power; Security; Solid modeling; Technology forecasting; Utility theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Financial Engineering, 2003. Proceedings. 2003 IEEE International Conference on
  • Print_ISBN
    0-7803-7654-4
  • Type

    conf

  • DOI
    10.1109/CIFER.2003.1196270
  • Filename
    1196270