IDEAS home Printed from https://ideas.repec.org/a/taf/quantf/v12y2012i1p49-60.html
   My bibliography  Save this article

Matching non-synchronous observations in derivative markets: choosing windows and efficient estimators

Author

Listed:
  • Jimmy E. Hilliard
  • Jitka Hilliard

Abstract

Equilibrium and arbitrage-based option pricing models are based on the assumption that the derivative and its underlying asset are simultaneously observable. However, empirical testing with transactions data must deal with less than perfect synchronicity and windows defining a ‘match’ between the derivative and its underlying must be specified. A narrow window minimizes measurement error at the expense of a smaller sample size. The analysis in this paper assumes Poisson transaction arrivals and smooth diffusion price processes. Optimal windows and efficient estimators are derived and further evaluated by simulation. Benchmarks options are chosen using data from pit-traded S&P 500 futures options and Globex traded Euro options.

Suggested Citation

  • Jimmy E. Hilliard & Jitka Hilliard, 2012. "Matching non-synchronous observations in derivative markets: choosing windows and efficient estimators," Quantitative Finance, Taylor & Francis Journals, vol. 12(1), pages 49-60, September.
  • Handle: RePEc:taf:quantf:v:12:y:2012:i:1:p:49-60
    DOI: 10.1080/14697680903386355
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/14697680903386355
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/14697680903386355?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. George, Thomas J. & Longstaff, Francis A., 1993. "Bid-Ask Spreads and Trading Activity in the S&P 100 Index Options Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 28(3), pages 381-397, September.
    2. Bakshi, Gurdip & Cao, Charles & Chen, Zhiwu, 1997. "Empirical Performance of Alternative Option Pricing Models," Journal of Finance, American Finance Association, vol. 52(5), pages 2003-2049, December.
    3. Robert C. Merton, 2005. "Theory of rational option pricing," World Scientific Book Chapters, in: Sudipto Bhattacharya & George M Constantinides (ed.), Theory Of Valuation, chapter 8, pages 229-288, World Scientific Publishing Co. Pte. Ltd..
    4. Bates, David S, 1996. "Jumps and Stochastic Volatility: Exchange Rate Processes Implicit in Deutsche Mark Options," The Review of Financial Studies, Society for Financial Studies, vol. 9(1), pages 69-107.
    5. Anthony, Joseph H, 1988. " The Interrelation of Stock and Options Market Trading-Volume Data," Journal of Finance, American Finance Association, vol. 43(4), pages 949-964, September.
    6. F. M. Bandi & J. R. Russell, 2008. "Microstructure Noise, Realized Variance, and Optimal Sampling," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 75(2), pages 339-369.
    7. Robert F. Engle & Jeffrey R. Russell, 1998. "Autoregressive Conditional Duration: A New Model for Irregularly Spaced Transaction Data," Econometrica, Econometric Society, vol. 66(5), pages 1127-1162, September.
    8. Ole E. Barndorff-Nielsen & Neil Shephard, 2002. "Estimating quadratic variation using realized variance," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 457-477.
    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. David S. Bates, 1995. "Testing Option Pricing Models," NBER Working Papers 5129, National Bureau of Economic Research, Inc.
    2. Busch, Thomas & Christensen, Bent Jesper & Nielsen, Morten Ørregaard, 2011. "The role of implied volatility in forecasting future realized volatility and jumps in foreign exchange, stock, and bond markets," Journal of Econometrics, Elsevier, vol. 160(1), pages 48-57, January.
    3. Diego Amaya & Jean-François Bégin & Geneviève Gauthier, 2022. "The Informational Content of High-Frequency Option Prices," Management Science, INFORMS, vol. 68(3), pages 2166-2201, March.
    4. Bent Jesper Christensen & Morten Ø. Nielsen & Thomas Busch, 2005. "Forecasting Exchange Rate Volatility In The Presence Of Jumps," Working Paper 1187, Economics Department, Queen's University.
    5. Anatoliy Swishchuk, 2013. "Modeling and Pricing of Swaps for Financial and Energy Markets with Stochastic Volatilities," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 8660, October.
    6. 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.
    7. Jondeau, Eric & Rockinger, Michael, 2000. "Reading the smile: the message conveyed by methods which infer risk neutral densities," Journal of International Money and Finance, Elsevier, vol. 19(6), pages 885-915, December.
    8. Carvalho, Augusto & Guimaraes, Bernardo, 2018. "State-controlled companies and political risk: Evidence from the 2014 Brazilian election," Journal of Public Economics, Elsevier, vol. 159(C), pages 66-78.
    9. Lin, Yueh-Neng & Lin, Anchor Y., 2016. "Using VIX futures to hedge forward implied volatility risk," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 88-106.
    10. Pena, Ignacio & Rubio, Gonzalo & Serna, Gregorio, 1999. "Why do we smile? On the determinants of the implied volatility function," Journal of Banking & Finance, Elsevier, vol. 23(8), pages 1151-1179, August.
    11. 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.
    12. 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.
    13. Chen, Gang & Roberts, Matthew C. & Roe, Brian E., 2005. "Managing Livestock Feed Cost Risks Using Futures and Options," 2005 Annual meeting, July 24-27, Providence, RI 19399, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. Chan, Kam C. & Cheng, Louis T. W. & Lung, Peter P., 2003. "Moneyness and the response of the implied volatilities to price changes: The empirical evidence from HSI options," Pacific-Basin Finance Journal, Elsevier, vol. 11(4), pages 527-553, September.
    15. Bakshi, Gurdip & Cao, Charles & Chen, Zhiwu, 2000. "Pricing and hedging long-term options," Journal of Econometrics, Elsevier, vol. 94(1-2), pages 277-318.
    16. Richards, Timothy J. & Manfredo, Mark R. & Sanders, Dwight R., 2002. "Weather Derivatives: Managing Risk With Market-Based Instruments," 2002 Conference, April 22-23, 2002, St. Louis, Missouri 19074, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    17. Carol Alexander & Andreas Kaeck, 2012. "Does model fit matter for hedging? Evidence from FTSE 100 options," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 32(7), pages 609-638, July.
    18. Marian Micu, 2005. "Extracting expectations from currency option prices: a comparison of methods," Computing in Economics and Finance 2005 226, Society for Computational Economics.
    19. Jondeau, E. & Rockinger, M., 1998. "Reading the Smile: The Message Conveyed by Methods Which Infer Risk Neutral," Working papers 47, Banque de France.
    20. Koekebakker, Steen & Lien, Gudbrand D., 2002. "Term Structure of Volatility and Price Jumps in Agricultural Markets - Evidence from Option Data," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24874, European Association of Agricultural Economists.

    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:taf:quantf:v:12:y:2012:i:1:p:49-60. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RQUF20 .

    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.