IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/48762.html
   My bibliography  Save this paper

Is the Futures Market for Treasury Bills Efficient?

Author

Listed:
  • Vignola, Anthony
  • Dale, Charles

Abstract

In a recent article, Puglisi developed and tested a model for evaluating the efficiency of the Treasury bill futures market. He found that the market for Treasury bill futures was not efficient because arbitrage opportunities existed involving transactions in futures and outstanding Treasury bills, although such opportunities have ebbed as the market continued to mature. This paper shows that the summary statistics reported by Puglisi are misleading and may be misinterpreted, that the Treasury bill futures market may be used to increase returns, and that the spot and futures market must be evaluated for such purposes only on a daily basis.

Suggested Citation

  • Vignola, Anthony & Dale, Charles, 1979. "Is the Futures Market for Treasury Bills Efficient?," MPRA Paper 48762, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:48762
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/48762/1/MPRA_paper_48762.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    2. Kenneth Froewiss, 1978. "GNMA futures: stabilizing or destabilizing?," Economic Review, Federal Reserve Bank of San Francisco, issue Spr, pages 20-29.
    3. Cornell, W Bradford & Dietrich, J Kimball, 1978. "The Efficiency of the Market for Foreign Exchange under Floating Exchange Rates," The Review of Economics and Statistics, MIT Press, vol. 60(1), pages 111-120, February.
    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. Dale, Charles, 1991. "Economics of Energy Futures Markets," MPRA Paper 47447, University Library of Munich, Germany.
    2. Vignola, Anthony & Dale, Charles, 1980. "The Efficiency of the Treasury Bill Futures Market: An Analysis of Alternative Specifications," MPRA Paper 48812, University Library of Munich, Germany.
    3. Charles Dale, 1981. "The hedging effectiveness of currency futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 1(1), pages 77-88, March.
    4. Dale, Charles, 1981. "Brownian motion in the treasury bill futures market," MPRA Paper 46530, University Library of Munich, Germany.
    5. Vignola, Anthony & Dale, Charles & Federal Reserve System, Federal Reserve Staffs, 1979. "Treasury/Federal Reserve Study of Treasury Futures Markets Volume II: A Study by the Staffs of the U.S. Treasury and Federal Reserve System," MPRA Paper 58897, University Library of Munich, Germany.
    6. Dale, Charles & Workman, Rosemarie, 1981. "Measuring patterns of price movements in the Treasury bill futures market," MPRA Paper 48639, University Library of Munich, Germany.
    7. Jergensen, Dale William, 1982. "An investigation of uses for financial futures in the agricultural equipment industry," ISU General Staff Papers 1982010108000017436, Iowa State University, Department of Economics.
    8. Dale, Charles & Workman, Rosemarie, 1980. "The arc sine law and the treasury bill futures market," MPRA Paper 46101, University Library of Munich, Germany.

    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. Stephan Schulmeister, 2000. "Technical Analysis and Exchange Rate Dynamics," WIFO Studies, WIFO, number 25857, February.
    2. Guanqing Liu, 2019. "Technical Trading Behaviour: Evidence from Chinese Rebar Futures Market," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 669-704, August.
    3. Refk Selmi & Aviral Kumar Tiwari & Shawkat Hammoudeh, 2018. "Efficiency or speculation? A dynamic analysis of the Bitcoin market," Economics Bulletin, AccessEcon, vol. 38(4), pages 2037-2046.
    4. Lukas Menkhoff & Mark P. Taylor, 2007. "The Obstinate Passion of Foreign Exchange Professionals: Technical Analysis," Journal of Economic Literature, American Economic Association, vol. 45(4), pages 936-972, December.
    5. Belaire-Franch, Jorge & Opong, Kwaku K., 2005. "Some evidence of random walk behavior of Euro exchange rates using ranks and signs," Journal of Banking & Finance, Elsevier, vol. 29(7), pages 1631-1643, July.
    6. Kristoufek, Ladislav & Vosvrda, Miloslav, 2016. "Gold, currencies and market efficiency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 449(C), pages 27-34.
    7. Bouoiyour, Jamal & Selmi, Refk & Hammoudeh, Shawkat & Wohar, Mark E., 2019. "What are the categories of geopolitical risks that could drive oil prices higher? Acts or threats?," Energy Economics, Elsevier, vol. 84(C).
    8. Karuppiah, Jeyanthi & Los, Cornelis A., 2005. "Wavelet multiresolution analysis of high-frequency Asian FX rates, Summer 1997," International Review of Financial Analysis, Elsevier, vol. 14(2), pages 211-246.
    9. Katarzyna Dąbrowska-Gruszczyńska & Marcin Gruszczyński, 2009. "The introduction of the euro in the perspective of accession and the challenges of absorption," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 22.
    10. Bouoiyour, Jamal & Selmi, Refk & Wohar, Mark E., 2018. "Are Islamic stock markets efficient? A multifractal detrended fluctuation analysis," Finance Research Letters, Elsevier, vol. 26(C), pages 100-105.
    11. Yamani, Ehab, 2021. "Foreign exchange market efficiency and the global financial crisis: Fundamental versus technical information," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 74-89.
    12. Cheol‐Ho Park & Scott H. Irwin, 2007. "What Do We Know About The Profitability Of Technical Analysis?," Journal of Economic Surveys, Wiley Blackwell, vol. 21(4), pages 786-826, September.
    13. Ajayi, Richard A. & Karemera, David, 1996. "A variance ratio test of random walks in exchange rates: Evidence from Pacific Basin economies," Pacific-Basin Finance Journal, Elsevier, vol. 4(1), pages 77-91, May.
    14. Shahzad, Syed Jawad Hussain & Hernandez, Jose Areola & Hanif, Waqas & Kayani, Ghulam Mujtaba, 2018. "Intraday return inefficiency and long memory in the volatilities of forex markets and the role of trading volume," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 433-450.
    15. Amelie Charles & Olivier Darne, 2009. "Testing for Random Walk Behavior in Euro Exchange Rates," Economie Internationale, CEPII research center, issue 119, pages 25-45.
    16. Taylor, Mark & Hsu, Po-Hsuan, 2014. "Forty Years, Thirty Currencies and 21,000 Trading Rules: A Large-scale, Data-Snooping Robust Analysis of Technical Trading in t," CEPR Discussion Papers 10018, C.E.P.R. Discussion Papers.
    17. Andrew Phiri, 2022. "Changing efficiency of BRICS currency markets during the COVID-19 pandemic," Economic Change and Restructuring, Springer, vol. 55(3), pages 1673-1699, August.
    18. Ivanova, Yuliya & Neely, Christopher J. & Weller, Paul & Famiglietti, Matthew T., 2021. "Can risk explain the profitability of technical trading in currency markets?," Journal of International Money and Finance, Elsevier, vol. 110(C).
    19. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
    20. repec:ebl:ecbull:v:14:y:2008:i:2:p:1-13 is not listed on IDEAS
    21. David M. Ritzwoller & Joseph P. Romano, 2019. "Uncertainty in the Hot Hand Fallacy: Detecting Streaky Alternatives to Random Bernoulli Sequences," Papers 1908.01406, arXiv.org, revised Apr 2021.

    More about this item

    Keywords

    Futures Markets; Hedging; Treasury Bill Futures;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    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:pra:mprapa:48762. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.