IDEAS home Printed from https://ideas.repec.org/a/wly/jfutmk/v35y2015i10p953-960.html
   My bibliography  Save this article

Executive Stock Option Pricing in China Under Stochastic Volatility

Author

Listed:
  • Terence Tai Leung Chong
  • Yue Ding
  • Yong Li

Abstract

In this article, on the basis of stochastic volatility (SV) models, we extend the approach of option pricing for executive stock options (ESOs) under FAS 123. Based on this extension, a sample of Chinese listed companies’ ESOs are priced. We analyze the effect of the some important financial variables on the implementation of ESOs. It is found that in China, firms with higher market risk and larger size are likely to have a higher ESO proportion in their executive incentive plans. The effects of the book‐to market ratio, stock price volatility, executive shareholding proportion, and the leverage ratio are also examined. © 2015 Wiley Periodicals, Inc. Jrl Fut Mark 35:953–960, 2015

Suggested Citation

  • Terence Tai Leung Chong & Yue Ding & Yong Li, 2015. "Executive Stock Option Pricing in China Under Stochastic Volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(10), pages 953-960, October.
    • Handle: RePEc:wly:jfutmk:v:35:y:2015:i:10:p:953-960
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Choe, Chongwoo, 2003. "Leverage, volatility and executive stock options," Journal of Corporate Finance, Elsevier, vol. 9(5), pages 591-609, November.
    2. Cuny, Charles J. & Jorion, Philippe, 1995. "Valuing executive stock options with endogenous departure," Journal of Accounting and Economics, Elsevier, vol. 20(2), pages 193-205, September.
    3. Mehran, Hamid, 1995. "Executive compensation structure, ownership, and firm performance," Journal of Financial Economics, Elsevier, vol. 38(2), pages 163-184, June.
    4. Paul L. Joskow & Nancy L. Rose & Catherine Wolfram, 1996. "Political Constraints on Executive Compensation: Evidence from the Electric Utility Industry," RAND Journal of Economics, The RAND Corporation, vol. 27(1), pages 165-182, Spring.
    5. Sangjoon Kim & Neil Shephard & Siddhartha Chib, 1998. "Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models," Review of Economic Studies, Oxford University Press, vol. 65(3), pages 361-393.
    6. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    7. Chen, Yenn-Ru & Lee, Bong Soo, 2010. "A dynamic analysis of executive stock options: Determinants and consequences," Journal of Corporate Finance, Elsevier, vol. 16(1), pages 88-103, February.
    8. Yermack, David, 1995. "Do corporations award CEO stock options effectively?," Journal of Financial Economics, Elsevier, vol. 39(2-3), pages 237-269.
    9. Jin‐Chuan Duan, 1995. "The Garch Option Pricing Model," Mathematical Finance, Wiley Blackwell, vol. 5(1), pages 13-32, January.
    10. Renate Meyer & Jun Yu, 2000. "BUGS for a Bayesian analysis of stochastic volatility models," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 198-215.
    11. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhiwei Su & Xingchun Wang, 2019. "Pricing executive stock options with averaging features under the Heston–Nandi GARCH model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(9), pages 1056-1084, September.
    2. Wang, Xingchun, 2018. "Valuing executive stock options under correlated employment shocks," Finance Research Letters, Elsevier, vol. 27(C), pages 38-45.

    More about this item

    JEL classification:

    • G3 - Financial Economics - - Corporate Finance and Governance

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:jfutmk:v:35:y:2015:i:10:p:953-960. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley Content Delivery). General contact details of provider: http://www.interscience.wiley.com/jpages/0270-7314/ .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.