• DocumentCode
    677727
  • Title

    Novel use of singularity functions to model periodic phenomena in cash flow analysis

  • Author

    Yi Su ; Lucko, Gunnar

  • Author_Institution
    Dept. of Civil Eng., Catholic Univ. of America, Washington, DC, USA
  • fYear
    2013
  • fDate
    8-11 Dec. 2013
  • Firstpage
    3157
  • Lastpage
    3168
  • Abstract
    When seeking to properly consider the time value of money, typical periodic cash flows such as payments and interest charges are difficult to model. This paper explores a new signal function that employs singularity functions to express such intermittent phenomena. This flexible signal function allows manipulating the parameters of start and finish, amplitude, and period of the signal efficiently, so that payments and interest charges can be modeled accurately. This novel approach is beneficial in several ways. First, the new model can effectively incorporate shift and delay effects that may affect an activity. Second, it applies an exact interest calculation. Third, it can handle compounding in its accumulation. Finally, a comprehensive model is created that returns the cumulative balance including interest charges at all times. It is concluded that signal functions are a promising area for future research on modeling and optimizing the cash flows.
  • Keywords
    economic indicators; financial management; modelling; cash flow analysis; cash flows modeling; cash flows optimization; cumulative balance; delay effects; flexible signal function; interest calculation; interest charges; money; payments; periodic cash flows; periodic phenomena model; shift effects; singularity functions; time value; Analytical models; Civil engineering; Delays; Educational institutions; Equations; Floors; Mathematical model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), 2013 Winter
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4799-2077-8
  • Type

    conf

  • DOI
    10.1109/WSC.2013.6721682
  • Filename
    6721682