IDEAS home Printed from https://ideas.repec.org/a/ags/jlaare/142355.html
   My bibliography  Save this article

Effective Bid-Ask Spreads in Futures versus Futures Options

Author

Listed:
  • Shah, Samarth
  • Brorsen, B. Wade
  • Anderson, Kim B.

Abstract

While considerable research has estimated liquidity costs of futures trading, little comparable research is available about options markets. This study determines effective bid-ask spreads in options and futures markets for Kansas City Board of Trade (KCBT) wheat. Effective bid-ask spreads are estimates of the actual liquidity cost of a round-trip order. Option liquidity costs are estimated using a new measure of effective spreads developed for options markets. Futures effective spreads are estimated using eight different measures developed in previous studies. Estimated effective bid-ask spreads of options contracts are at least double the effective bid-ask spreads of open-outcry futures contracts.

Suggested Citation

  • Shah, Samarth & Brorsen, B. Wade & Anderson, Kim B., 2012. "Effective Bid-Ask Spreads in Futures versus Futures Options," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 37(3), pages 1-14.
    • Handle: RePEc:ags:jlaare:142355
    DOI: 10.22004/ag.econ.142355
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/142355/files/JARE_Dec2012__08_pp455-468_Brorsen.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.142355?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
    ---><---

    References listed on IDEAS

    as
    1. Baesel, Jerome B & Shows, George & Thorp, Edward, 1983. "The Cost of Liquidity Services in Listed Options: A Note," Journal of Finance, American Finance Association, vol. 38(3), pages 989-995, June.
    2. B. Wade Brorsen, 1989. "Liquidity costs and scalping returns in the corn futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 9(3), pages 225-236, June.
    3. Rama Cont & Jose da Fonseca, 2002. "Dynamics of implied volatility surfaces," Quantitative Finance, Taylor & Francis Journals, vol. 2(1), pages 45-60.
    4. B. Wade Brorsen & Darren W. Buck & Stephen R. Koontz, 1998. "Hedging hard red winter wheat: Kansas City versus Chicago," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 18(4), pages 449-466, June.
    5. Choi, J. Y. & Salandro, Dan & Shastri, Kuldeep, 1988. "On the Estimation of Bid-Ask Spreads: Theory and Evidence," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 23(2), pages 219-230, June.
    6. Black, Fischer, 1976. "The pricing of commodity contracts," Journal of Financial Economics, Elsevier, vol. 3(1-2), pages 167-179.
    7. Chu, Quentin C & Ding, David K & Pyun, C S, 1996. "Bid-Ask Bounce and Spreads in the Foreign Exchange Futures Market," Review of Quantitative Finance and Accounting, Springer, vol. 6(1), pages 19-37, January.
    8. Henry Bryant & Michael Haigh, 2004. "Bid-ask spreads in commodity futures markets," Applied Financial Economics, Taylor & Francis Journals, vol. 14(13), pages 923-936.
    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. Andrew M. McKenzie & Michael R. Thomsen & Michael K. Adjemian, 2022. "Characterizing implied volatility functions from agricultural options markets," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(5), pages 1605-1624, October.
    2. Miao Li & Tao Xiong & Ziran Li, 2023. "A tale of two contracts: Examining the behavior of bid–ask spreads of corn futures in China," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(6), pages 792-806, June.
    3. Joseph P. Janzen & Michael K. Adjemian, 2017. "Estimating the Location of World Wheat Price Discovery," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(5), pages 1188-1207.

    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. Julieta Frank & Philip Garcia, 2011. "Measuring the cost of liquidity in agricultural futures markets: Conventional and Bayesian approaches," Agricultural Economics, International Association of Agricultural Economists, vol. 42, pages 131-140, November.
    2. Samarth Shah & B. Wade Brorsen, 2013. "Are liquidity costs higher in options markets or in futures markets?," Applied Financial Economics, Taylor & Francis Journals, vol. 23(8), pages 701-708, April.
    3. Shah, Samarth & Brorsen, B. Wade & Anderson, Kim B., 2009. "Liquidity Costs in Futures Options Markets," 2009 Conference, April 20-21, 2009, St. Louis, Missouri 53047, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    4. Lim, Terence & Lo, Andrew W. & Merton, Robert C. & Scholes, Myron S., 2006. "The Derivatives Sourcebook," Foundations and Trends(R) in Finance, now publishers, vol. 1(5–6), pages 365-572, April.
    5. Nicola Secomandi & Sunder Kekre, 2014. "Optimal Energy Procurement in Spot and Forward Markets," Manufacturing & Service Operations Management, INFORMS, vol. 16(2), pages 270-282, May.
    6. Borovkova, Svetlana & Permana, Ferry J., 2009. "Implied volatility in oil markets," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2022-2039, April.
    7. Mehdi Arzandeh & Julieta Frank, 2019. "Price Discovery in Agricultural Futures Markets: Should We Look beyond the Best Bid-Ask Spread?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(5), pages 1482-1498.
    8. Riza Emekter & Benjamas Jirasakuldech & Peter Went, 2012. "Rational speculative bubbles and commodities markets: application of duration dependence test," Applied Financial Economics, Taylor & Francis Journals, vol. 22(7), pages 581-596, April.
    9. Sudarshan Kumar & Sobhesh Kumar Agarwalla & Jayanth R. Varma & Vineet Virmani, 2023. "Harvesting the volatility smile in a large emerging market: A Dynamic Nelson–Siegel approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(11), pages 1615-1644, November.
    10. Pascal François & Rémi Galarneau‐Vincent & Geneviève Gauthier & Frédéric Godin, 2022. "Venturing into uncharted territory: An extensible implied volatility surface model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(10), pages 1912-1940, October.
    11. Kearney, Fearghal & Shang, Han Lin & Sheenan, Lisa, 2019. "Implied volatility surface predictability: The case of commodity markets," Journal of Banking & Finance, Elsevier, vol. 108(C).
    12. Ivanova, Vesela & Puigvert Gutiérrez, Josep Maria, 2014. "Interest rate forecasts, state price densities and risk premium from Euribor options," Journal of Banking & Finance, Elsevier, vol. 48(C), pages 210-223.
    13. I‐Doun Kuo & Yueh‐Neng Lin, 2009. "Empirical performance of multifactor term structure models for pricing and hedging Eurodollar futures options," Review of Financial Economics, John Wiley & Sons, vol. 18(1), pages 23-32, January.
    14. Andriosopoulos, Kostas & Nomikos, Nikos, 2014. "Performance replication of the Spot Energy Index with optimal equity portfolio selection: Evidence from the UK, US and Brazilian markets," European Journal of Operational Research, Elsevier, vol. 234(2), pages 571-582.
    15. Unterschultz, James R., 2000. "New Instruments For Co-Ordination And Risk Sharing Within The Canadian Beef Industry," Project Report Series 24046, University of Alberta, Department of Resource Economics and Environmental Sociology.
    16. Yoon, Byung-Sam & Brorsen, B. Wade, 2005. "Can Multiyear Rollover Hedging Increase Mean Returns?," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 37(1), pages 65-78, April.
    17. Hjalmarsson, Erik, 2003. "Does the Black-Scholes formula work for electricity markets? A nonparametric approach," Working Papers in Economics 101, University of Gothenburg, Department of Economics.
    18. Calum G. Turvey, 2010. "Biography," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 70(1), pages 5-20, May.
    19. Chiarella, Carl & Kang, Boda & Nikitopoulos, Christina Sklibosios & Tô, Thuy-Duong, 2013. "Humps in the volatility structure of the crude oil futures market: New evidence," Energy Economics, Elsevier, vol. 40(C), pages 989-1000.
    20. Guillermo Llorente & Jiang Wang, 2020. "Trading and information in futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(8), pages 1231-1263, 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:ags:jlaare:142355. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/waeaaea.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.