IDEAS home Printed from https://ideas.repec.org/a/pal/assmgt/v20y2019i1d10.1057_s41260-018-00102-4.html
   My bibliography  Save this article

Has the VIX index been manipulated?

Author

Listed:
  • Atanu Saha

    (EconOne)

  • Burton G. Malkiel

    (Princeton University)

  • Alex Rinaudo

    (EconOne)

Abstract

Recently, an influential academic study and many lawsuits have claimed that the VIX index has been manipulated since 2008. In this paper, we construct a regression model with explanatory variables that are exogenous to the index and examine the model prediction errors. We find that the movements in the daily levels of the VIX index are explained by market fundamentals and not by manipulation. We also specifically examine the VIX futures expiration days and demonstrate that the VIX closing values and VIX futures settlements prices on those days are consistent normal market forces and are not artificial.

Suggested Citation

  • Atanu Saha & Burton G. Malkiel & Alex Rinaudo, 2019. "Has the VIX index been manipulated?," Journal of Asset Management, Palgrave Macmillan, vol. 20(1), pages 1-14, February.
  • Handle: RePEc:pal:assmgt:v:20:y:2019:i:1:d:10.1057_s41260-018-00102-4
    DOI: 10.1057/s41260-018-00102-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41260-018-00102-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1057/s41260-018-00102-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Craig Pirrong, 2004. "Detecting Manipulation in Futures Markets: The Ferruzzi Soybean Episode," American Law and Economics Review, American Law and Economics Association, vol. 6(1), pages 28-71.
    2. John M Griffin & Amin Shams, 2018. "Manipulation in the VIX?," The Review of Financial Studies, Society for Financial Studies, vol. 31(4), pages 1377-1417.
    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. Claudiu Vințe & Marcel Ausloos, 2023. "Portfolio Volatility Estimation Relative to Stock Market Cross-Sectional Intrinsic Entropy," JRFM, MDPI, vol. 16(2), pages 1-24, February.
    2. Ali Hirsa & Joerg Osterrieder & Branka Hadji Misheva & Wenxin Cao & Yiwen Fu & Hanze Sun & Kin Wai Wong, 2021. "The VIX index under scrutiny of machine learning techniques and neural networks," Papers 2102.02119, arXiv.org.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ke Liu & Kin Lai & Jerome Yen & Qing Zhu, 2015. "A Model of Stock Manipulation Ramping Tricks," Computational Economics, Springer;Society for Computational Economics, vol. 45(1), pages 135-150, January.
    2. Xin Li & Kun Chen & Sherry X. Sun & Terrance Fung & Huaiqing Wang & Daniel D. Zeng, 2016. "A Commonsense Knowledge-Enabled Textual Analysis Approach for Financial Market Surveillance," INFORMS Journal on Computing, INFORMS, vol. 28(2), pages 278-294, May.
    3. Anders Merrild Posselt, 2022. "Dynamics in the VIX complex," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(9), pages 1665-1687, September.
    4. Enrique Mart'inez-Miranda & Peter McBurney & Matthew J. Howard, 2015. "Learning Unfair Trading: a Market Manipulation Analysis From the Reinforcement Learning Perspective," Papers 1511.00740, arXiv.org.
    5. Duong, Huu Nhan & Goyal, Abhinav & Kallinterakis, Vasileios & Veeraraghavan, Madhu, 2021. "Market manipulation rules and IPO underpricing," Journal of Corporate Finance, Elsevier, vol. 67(C).
    6. Zhang, Anthony Lee, 2022. "Competition and manipulation in derivative contract markets," Journal of Financial Economics, Elsevier, vol. 144(2), pages 396-413.
    7. Sofia Johan, 2008. "Global Market Surveillance," American Law and Economics Review, American Law and Economics Association, vol. 10(2), pages 454-506.
    8. Cumming, Douglas J. & Firth, Christopher & Gathergood, John & Stewart, Neil, 2021. "Covid, work-from-home, and securities misconduct," CFS Working Paper Series 666, Center for Financial Studies (CFS).
    9. Mohrschladt, Hannes & Schneider, Judith C., 2021. "Option-implied skewness: Insights from ITM-options," Journal of Economic Dynamics and Control, Elsevier, vol. 131(C).
    10. Pirrong, Craig, 2017. "The economics of commodity market manipulation: A survey," Journal of Commodity Markets, Elsevier, vol. 5(C), pages 1-17.
    11. Batten, Jonathan A. & Lucey, Brian M. & Peat, Maurice, 2016. "Gold and silver manipulation: What can be empirically verified?," Economic Modelling, Elsevier, vol. 56(C), pages 168-176.
    12. Jiling Cao & Xinfeng Ruan & Wenjun Zhang, 2020. "Inferring information from the S&P 500, CBOE VIX, and CBOE SKEW indices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(6), pages 945-973, June.
    13. Chiu, Junmao & Lien, Donald & Tsai, Wei-Che, 2023. "Global financial crisis, funding constraints, and liquidity of VIX futures," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
    14. Vladimir Atanasov & John J. Merrick & Philipp Schuster, 2023. "Mismarking in Mutual Funds," Management Science, INFORMS, vol. 69(2), pages 1275-1300, February.
    15. Dudley Gilder & Leonidas Tsiaras, 2020. "Volatility forecasts embedded in the prices of crude‐oil options," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(7), pages 1127-1159, July.
    16. Aitken, Michael & Cumming, Douglas & Zhan, Feng, 2015. "High frequency trading and end-of-day price dislocation," Journal of Banking & Finance, Elsevier, vol. 59(C), pages 330-349.
    17. Payzan-LeNestour, Elise & Pradier, Lionnel & Putniņš, Tālis J., 2023. "Biased risk perceptions: Evidence from the laboratory and financial markets," Journal of Banking & Finance, Elsevier, vol. 154(C).
    18. Paul Rhode & Koleman Strumpf, 2006. "Manipulating political stock markets: A field experiment and a century of observational data," Natural Field Experiments 00325, The Field Experiments Website.
    19. Akter, Maimuna & Cumming, Douglas & Ji, Shan, 2023. "Natural disasters and market manipulation," Journal of Banking & Finance, Elsevier, vol. 153(C).
    20. John M. Griffin & Amin Shams, 2020. "Is Bitcoin Really Untethered?," Journal of Finance, American Finance Association, vol. 75(4), pages 1913-1964, August.

    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:pal:assmgt:v:20:y:2019:i:1:d:10.1057_s41260-018-00102-4. 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.

    If CitEc recognized a bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave-journals.com/ .

    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.