IDEAS home Printed from https://ideas.repec.org/a/oup/revfin/v22y2018i2p561-593..html
   My bibliography  Save this article

What Drives Index Options Exposures?
[Uncertainty and economic activity: evidence from business survey data]

Author

Listed:
  • Timothy Johnson
  • Mo Liang
  • Yun Liu

Abstract

This paper documents the history of aggregate positions in US index options and investigates the driving factors behind use of this class of derivatives. We construct several measures of the magnitude of the market and characterize their level, trend, and covariates. Measured in terms of volatility exposure, the market is economically small, but it embeds a significant latent exposure to large price changes. Out-of-the-money puts are the dominant component of open positions. Variation in options use is well described by a stochastic trend driven by equity market activity and a significant negative response to increases in risk. Using a rich collection of uncertainty proxies, we distinguish distinct responses to exogenous macroeconomic risk, risk aversion, differences of opinion, and disaster risk. The results are consistent with the view that the primary function of index options is the transfer of unspanned crash risk.

Suggested Citation

  • Timothy Johnson & Mo Liang & Yun Liu, 2018. "What Drives Index Options Exposures? [Uncertainty and economic activity: evidence from business survey data]," Review of Finance, European Finance Association, vol. 22(2), pages 561-593.
  • Handle: RePEc:oup:revfin:v:22:y:2018:i:2:p:561-593.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/rof/rfw061
    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.

    References listed on IDEAS

    as
    1. Bates, David S., 2008. "The market for crash risk," Journal of Economic Dynamics and Control, Elsevier, vol. 32(7), pages 2291-2321, July.
    2. R?diger Bachmann & Steffen Elstner & Eric R. Sims, 2013. "Uncertainty and Economic Activity: Evidence from Business Survey Data," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(2), pages 217-249, April.
    Full references (including those not matched with items on IDEAS)

    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. Nikolay Hristov & Markus Roth, 2019. "Uncertainty Shocks and Financial Crisis Indicators," CESifo Working Paper Series 7839, CESifo.
    2. Bonciani, Dario, 2015. "Estimating the effects of uncertainty over the business cycle," MPRA Paper 65921, University Library of Munich, Germany.
    3. Idriss Fontaine, 2021. "Uncertainty and Labour Force Participation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(2), pages 437-471, April.
    4. Salzmann, Leonard, 2020. "The Impact of Uncertainty and Financial Shocks in Recessions and Booms," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224588, Verein für Socialpolitik / German Economic Association.
    5. Marfatia, Hardik A., 2015. "Monetary policy's time-varying impact on the US bond markets: Role of financial stress and risks," The North American Journal of Economics and Finance, Elsevier, vol. 34(C), pages 103-123.
    6. Kyle Jurado & Sydney C. Ludvigson & Serena Ng, 2015. "Measuring Uncertainty," American Economic Review, American Economic Association, vol. 105(3), pages 1177-1216, March.
    7. Alessandri, Piergiorgio & Mumtaz, Haroon, 2019. "Financial regimes and uncertainty shocks," Journal of Monetary Economics, Elsevier, vol. 101(C), pages 31-46.
    8. Sang Byung Seo & Jessica A. Wachter, 2019. "Option Prices in a Model with Stochastic Disaster Risk," Management Science, INFORMS, vol. 65(8), pages 3449-3469, August.
    9. Christoffersen, Peter & Heston, Steven & Jacobs, Kris, 2010. "Option Anomalies and the Pricing Kernel," Working Papers 11-17, University of Pennsylvania, Wharton School, Weiss Center.
    10. Chen, Cheng & Senga, Tatsuro & Sun, Chang & Zhang, Hongyong, 2023. "Uncertainty, imperfect information, and expectation formation over the firm’s life cycle," Journal of Monetary Economics, Elsevier, vol. 140(C), pages 60-77.
    11. Nakazono, Yoshiyuki & Koga, Maiko & Sugo, Tomohiro, 2020. "Private information and analyst coverage: Evidence from firm survey data," Journal of Economic Behavior & Organization, Elsevier, vol. 174(C), pages 284-298.
    12. Panagiotidis, Theodore & Printzis, Panagiotis, 2020. "What is the investment loss due to uncertainty?," Global Finance Journal, Elsevier, vol. 45(C).
    13. N. Bloom, 2016. "Fluctuations in uncertainty," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 4.
    14. Yuan, Di & Li, Sufang & Li, Rong & Zhang, Feipeng, 2022. "Economic policy uncertainty, oil and stock markets in BRIC: Evidence from quantiles analysis," Energy Economics, Elsevier, vol. 110(C).
    15. Carmen Orden‐Cruz & Jessica Paule‐Vianez & Júlio Lobão, 2023. "The effect of Economic Policy Uncertainty on the credit risk of US commercial banks," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 3420-3436, July.
    16. Sterk, Vincent, 2016. "The dark corners of the labor market," LSE Research Online Documents on Economics 86244, London School of Economics and Political Science, LSE Library.
    17. Wensheng Kang & Ronald A. Ratti & Joaquin Vespignani, 2020. "Impact of global uncertainty on the global economy and large developed and developing economies," Applied Economics, Taylor & Francis Journals, vol. 52(22), pages 2392-2407, May.
    18. Aleksejs Krecetovs & Pasquale Della Corte, 2016. "Macro uncertainty and currency premia," 2016 Meeting Papers 624, Society for Economic Dynamics.
    19. Joëts, Marc & Mignon, Valérie & Razafindrabe, Tovonony, 2017. "Does the volatility of commodity prices reflect macroeconomic uncertainty?," Energy Economics, Elsevier, vol. 68(C), pages 313-326.
    20. Dudley Cooke & Tatiana Damjanovic, 2020. "Optimal Fiscal Policy in a Model of Firm Entry with Financial Frictions," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 35, pages 74-96, January.

    More about this item

    Keywords

    Index options; Quantities; Derivatives risk;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • N22 - Economic History - - Financial Markets and Institutions - - - U.S.; Canada: 1913-

    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:revfin:v:22:y:2018:i:2:p:561-593.. 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: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/eufaaea.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.