• DocumentCode
    2066300
  • Title

    Tactical asset allocation: Assessing strategies for predicting and aapting to volatile financial markets

  • Author

    Coates, R. Cainon ; Maltz, Richard J. ; Mongan, John T., Jr. ; Wheaton, Harrison W. ; Woerner, Lawrence A. ; Lark, James W., III ; Scherer, William T.

  • Author_Institution
    Dept. of Syst.&Inf. Eng., Charlottesville, VA
  • fYear
    2008
  • fDate
    25-25 April 2008
  • Firstpage
    200
  • Lastpage
    204
  • Abstract
    This paper explores strategies to predict and adapt to volatile financial markets. The goal of the project is to enhance investorspsila abilities to evaluate current market conditions and invest accordingly, maximizing future returns and minimizing the associated risk. By analyzing predictive indicators and constructing investment models, the project seeks to develop a reliable method to predict and adapt to market movements. Testing indicates there are benefits that come from using various indicators to qualify investment strategies based on market conditions. Incorporating specific factors into investment models allows for the enhancement of returns while simultaneously reducing risks. Given the nature of compound interest, this is a noteworthy improvement that will make a significant difference in the long run.
  • Keywords
    financial management; investment; minimisation; risk management; compound interest; future return maximization; investment model; market condition evaluation; predictive indicator analysis; risk minimization; tactical asset allocation; volatile financial market; Asset management; Data security; Design engineering; Economic indicators; Investments; Mutual funds; Predictive models; Probability; Systems engineering and theory; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Information Engineering Design Symposium, 2008. SIEDS 2008. IEEE
  • Conference_Location
    Charlottesville, VA
  • Print_ISBN
    978-1-4244-2365-1
  • Electronic_ISBN
    978-1-4244-2366-8
  • Type

    conf

  • DOI
    10.1109/SIEDS.2008.4559711
  • Filename
    4559711