• DocumentCode
    2288772
  • Title

    Executive stock option pricing based on volatility estimated by SV-GED model: Evidence from Shanghai and Shenzhen 300 Index

  • Author

    Pan, Min ; Tang, Sheng-Qiao

  • Author_Institution
    Econ. & Manage. Sch., Wuhan Univ., Wuhan, China
  • fYear
    2009
  • fDate
    14-16 Sept. 2009
  • Firstpage
    1276
  • Lastpage
    1281
  • Abstract
    This paper develops a executive stock option pricing model based on the volatility estimated by SV-GED model, considering both the features of the volatility of stock return and the exceptional volatility of stock price which in exercise date, estimates the parameters of SV-GED model using Markov Chain Monte Carlo method, , and compare the executive stock option prices calculated by the option pricing model based on volatility estimated by SV-GED model and Black-Scholes option pricing model, based on Shanghai and Shenzhen 300 Index. It shows that SV-GED model has greater veracity in describing the volatility of financial asset returns; there are differences between the executive stock option value estimated by stock option pricing model based on volatility estimated by SV-GED model and that computed by B-S option pricing model, and the differences vary with the discrepancy between the underlying stock price and strike price.
  • Keywords
    Markov processes; Monte Carlo methods; pricing; share prices; statistical distributions; stock markets; Black-Scholes option pricing model; Markov chain Monte Carlo method; SV-GED model; Shanghai 300 index; Shenzhen 300 Index; exceptional volatility estimation; executive stock option pricing model; financial asset return; general error distribution; stochastic volatility model; Conference management; Cost accounting; Engineering management; Fluctuations; Parameter estimation; Portfolios; Pricing; Probability distribution; Risk analysis; Stochastic processes; Markov chain Monte Carlo method; executive stock option pricing; general error distribution; stochastic volatility model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Science and Engineering, 2009. ICMSE 2009. International Conference on
  • Conference_Location
    Moscow
  • Print_ISBN
    978-1-4244-3970-6
  • Electronic_ISBN
    978-1-4244-3971-3
  • Type

    conf

  • DOI
    10.1109/ICMSE.2009.5318006
  • Filename
    5318006