IDEAS home Printed from https://ideas.repec.org/a/oup/rfinst/v32y2019i1p228-265..html
   My bibliography  Save this article

Demand for Crash Insurance, Intermediary Constraints, and Risk Premia in Financial Markets

Author

Listed:
  • Hui Chen
  • Scott Joslin
  • Sophie Xiaoyan Ni

Abstract

We propose a new measure of financial intermediary constraints based on how intermediaries manage their tail risk exposures. Using data for the trading activities in the market of deep out-of-the-money index put options, we identify periods when the variations in the net amount of trading between financial intermediaries and public investors are likely to be mainly driven by shocks to intermediary constraints. We then infer tightness of intermediary constraints from the quantities of option trading. A tightening of intermediary constraints according to our measure is associated with increasing option expensiveness, higher risk premia, deteriorating funding liquidity, and broker-dealer deleveraging. Received December 1, 2014; editorial decision May 19, 2017 by Editor Geert Bekaert. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

Suggested Citation

  • Hui Chen & Scott Joslin & Sophie Xiaoyan Ni, 2019. "Demand for Crash Insurance, Intermediary Constraints, and Risk Premia in Financial Markets," The Review of Financial Studies, Society for Financial Studies, vol. 32(1), pages 228-265.
    • Handle: RePEc:oup:rfinst:v:32:y:2019:i:1:p:228-265.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/rfs/hhy004
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Citations

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


    Cited by:

    1. Ke-Li Xu & Junjie Guo, 2021. "A New Test for Multiple Predictive Regression," CAEPR Working Papers 2022-001 Classification-C, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    2. George M. Constantinides & Michal Czerwonko & Stylianos Perrakis, 2020. "Mispriced index option portfolios," Financial Management, Financial Management Association International, vol. 49(2), pages 297-330, June.
    3. Libo Yin & Jing Nie & Liyan Han, 2021. "Intermediary capital risk and commodity futures volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(5), pages 577-640, May.
    4. Valentin Haddad & Tyler Muir, 2021. "Do Intermediaries Matter for Aggregate Asset Prices?," Journal of Finance, American Finance Association, vol. 76(6), pages 2719-2761, December.
    5. Aramonte, Sirio & Szerszeń, Paweł J., 2020. "Cross-market liquidity and dealer profitability: Evidence from the bond and CDS markets," Journal of Financial Markets, Elsevier, vol. 51(C).
    6. Sonnan Chen & Yuchi Gu, 2021. "Joint estimation of volatility risk and tail risk premia with time-varying macro-state-dependent property," Review of Quantitative Finance and Accounting, Springer, vol. 56(4), pages 1357-1397, May.
    7. Feng, Xu & Lu, Lei & Xiao, Yajun, 2020. "Shadow banks, leverage risks, and asset prices," Journal of Economic Dynamics and Control, Elsevier, vol. 111(C).
    8. Gruenthaler, Thomas & Lorenz, Friedrich & Meyerhof, Paul, 2022. "Option-based intermediary leverage," Journal of Banking & Finance, Elsevier, vol. 145(C).
    9. Ko Adachi & Kazuhiro Hiraki & Tomiyuki Kitamura, 2021. "Supplementary Paper Series for the "Assessment" (1): The Effects of the Bank of Japan's ETF Purchases on Risk Premia in the Stock Markets," Bank of Japan Working Paper Series 21-E-3, Bank of Japan.
    10. Gehricke, Sebastian A. & Zhang, Jin E., 2021. "Tracking performance of VIX futures ETPs," Journal of Empirical Finance, Elsevier, vol. 61(C), pages 103-117.
    11. Ramachandran, Lakshmi Shankar & Tayal, Jitendra, 2021. "Mispricing, short-sale constraints, and the cross-section of option returns," Journal of Financial Economics, Elsevier, vol. 141(1), pages 297-321.
    12. Stylianos Perrakis, 2022. "From innovation to obfuscation: continuous time finance fifty years later," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 36(3), pages 369-401, September.
    13. Augustin, Patrick & Sokolovski, Valeri & Subrahmanyam, Marti G. & Tomio, Davide, 2022. "How sovereign is sovereign credit risk? Global prices, local quantities," Journal of Monetary Economics, Elsevier, vol. 131(C), pages 92-111.

    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:oup:rfinst:v:32:y:2019:i:1:p:228-265.. 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: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/sfsssea.html .

    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.