IDEAS home Printed from https://ideas.repec.org/a/wly/jfutmk/v31y2011i1p34-54.html
   My bibliography  Save this article

Asymmetric pricing of implied systematic volatility in the cross‐section of expected returns

Author

Listed:
  • R. Jared Delisle
  • James S. Doran
  • David R. Peterson

Abstract

Assuming a symmetric relation between returns and innovations in implied market volatility, Ang, A., Hodrick, R., Xing, Y., and Zhang, X. (2006) find that sensitivities to changes in implied market volatility have a cross‐sectional effect on firm returns. Dennis, P., Mayhew, S., and Stivers, C. (2006), however, find an asymmetric relation between firm‐level returns and implied market volatility innovations. We incorporate this asymmetry into the cross‐sectional relation between sensitivity to volatility innovations and returns. Using both portfolio sorting and firm‐level regressions, we find that sensitivity to VIX innovations is negatively related to returns when volatility is rising, but is unrelated when it is falling. The negative relation is robust to controls for other variables, suggesting only the increase in implied market volatility is a priced risk factor. © 2010 Wiley Periodicals, Inc. Jrl Fut Mark 31:34–54, 2011

Suggested Citation

  • R. Jared Delisle & James S. Doran & David R. Peterson, 2011. "Asymmetric pricing of implied systematic volatility in the cross‐section of expected returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 31(1), pages 34-54, January.
    • Handle: RePEc:wly:jfutmk:v:31:y:2011:i:1:p:34-54
    as

    Download full text from publisher

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

    Citations

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


    Cited by:

    1. Pati, Pratap Chandra & Rajib, Prabina & Barai, Parama, 2019. "The role of the volatility index in asset pricing: The case of the Indian stock market," The Quarterly Review of Economics and Finance, Elsevier, vol. 74(C), pages 336-346.
    2. Stanley Peterburgsky, 2021. "Is aggregate volatility a priced risk factor?," International Review of Finance, International Review of Finance Ltd., vol. 21(3), pages 843-864, September.
    3. R. Jared DeLisle & Bong Soo Lee & Nathan Mauck, 2016. "The dynamic relation between options trading, short selling, and aggregate stock returns," Review of Quantitative Finance and Accounting, Springer, vol. 47(3), pages 645-671, October.
    4. Labidi, Chiraz & Yaakoubi, Soumaya, 2016. "Investor sentiment and aggregate volatility pricing," The Quarterly Review of Economics and Finance, Elsevier, vol. 61(C), pages 53-63.
    5. Long, Wen & Zhao, Manyi & Tang, Yeran, 2021. "Can the Chinese volatility index reflect investor sentiment?," International Review of Financial Analysis, Elsevier, vol. 73(C).
    6. Mai, Van Anh (Vivian) & Ang, Tze Chuan ‘Chewie’ & Fang, Victor, 2016. "Aggregate volatility risk and the cross-section of stock returns: Australian evidence," Pacific-Basin Finance Journal, Elsevier, vol. 36(C), pages 134-149.
    7. Chira, Inga & Madura, Jeff & Viale, Ariel M., 2013. "Bank exposure to market fear," Journal of Financial Stability, Elsevier, vol. 9(4), pages 451-459.
    8. Sunil K. Mohanty & Stein Frydenberg & Petter Osmundsen & Sjur Westgaard & Christian Skjøld, 2023. "Risk factors in stock returns of U.S. oil and gas companies: evidence from quantile regression analysis," Review of Quantitative Finance and Accounting, Springer, vol. 60(2), pages 715-746, February.
    9. James S. Doran, 2020. "Volatility as an asset class: Holding VIX in a portfolio," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(6), pages 841-859, June.
    10. Gonzalez-Perez, Maria T., 2015. "Model-free volatility indexes in the financial literature: A review," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 141-159.
    11. Andy Fodor & James S. Doran & James M. Carson & David P. Kirch, 2013. "On the Demand for Portfolio Insurance," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 16(2), pages 167-193, September.
    12. Atanasov, Victoria, 2016. "Conditional interest rate risk and the cross-section of excess stock returns," Review of Financial Economics, Elsevier, vol. 30(C), pages 23-32.

    More about this item

    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:31:y:2011:i:1:p:34-54. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.

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

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.