• DocumentCode
    2616508
  • Title

    Monte Carlo methods for valuation of ratchet equity indexed annuities

  • Author

    Hsieh, Ming-hua ; Chiu, Yu-fen

  • Author_Institution
    Nat. Chengchi Univ., Taipei
  • fYear
    2007
  • fDate
    9-12 Dec. 2007
  • Firstpage
    998
  • Lastpage
    1003
  • Abstract
    Equity Indexed Annuities (EIAs) are popular insurance contracts. EIAs provide the insured with a guaranteed accumulation rate on their premium at maturity. In addition, the insured may receive extra benefit if the return of the linked index is high enough. There are a few variations of EIAs. We consider two types of EIAs: compound ratchet and simple ratchet. Under the geometric Brownian motion assumption for the equity index, plain compound ratchet options is known to have closed form solutions, but plain simple ratchet option is not. In this paper, we derive a closed form solution for plain simple ratchet option. For more exotic options, Monte Carlo methods are usually used for their valuation. To improve their efficiency, we propose two control variates based on the analytical solutions for the price of plain ratchet options. The effectiveness of the proposed control variates is examined via numerical examples of a typical contract.
  • Keywords
    Monte Carlo methods; econometrics; economic indicators; insurance; pricing; share prices; Monte Carlo methods; equity indexed annuities; equity market; geometric Brownian motion assumption; insurance contracts; plain compound ratchet options; plain simple ratchet option; pricing; ratchet EIA contracts; Banking; Chromium; Closed-form solution; Contracts; Cost accounting; Indexing; Insurance; Management information systems; Pricing; Strontium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference, 2007 Winter
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4244-1306-5
  • Electronic_ISBN
    978-1-4244-1306-5
  • Type

    conf

  • DOI
    10.1109/WSC.2007.4419697
  • Filename
    4419697