IDEAS home Printed from https://ideas.repec.org/p/ags/uerstb/158107.html

The Distribution of Shortrun Commodity Price Movements

Author

Listed:
  • Mann, Jitendar S.
  • Heifner, Richard G.

Abstract

The statistical properties of daily closing futures prices for nine commodities are studied. Two hypotheses are examined: Price changes are normally distributed, and prices follow a random walk process. Normality is tested by estimating kurtosis, the R/S statistic, and characteristic exponents. The Gaussian hypothesis is rejected in a large proportion of cases. Randomness is tested by using the turning point test and the phase length test. Both tests reject the random walk hypothesis.

Suggested Citation

  • Mann, Jitendar S. & Heifner, Richard G., 1976. "The Distribution of Shortrun Commodity Price Movements," Technical Bulletins 158107, United States Department of Agriculture, Economic Research Service.
  • Handle: RePEc:ags:uerstb:158107
    DOI: 10.22004/ag.econ.158107
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/158107/files/tb1536.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.158107?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. Robert Blattberg & Thomas Sargent, 2010. "Regression With Non-Gaussian Stable Disturbances: Some Sampling Results," World Scientific Book Chapters, in: Greg M Allenby (ed.), Perspectives On Promotion And Database Marketing The Collected Works of Robert C Blattberg, chapter 1, pages 7-16, World Scientific Publishing Co. Pte. Ltd..
    2. Brinegar, Claude S., 1970. "A Statistical Analysis of Speculative Price Behavior," Food Research Institute Studies, Stanford University, Food Research Institute, vol. 9(Supplemen), pages 1-72.
    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. Kim, MinKyoung & Leuthold, Raymond M., 2000. "The Distributional Behavior Of Futures Price Spreads," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 32(01), pages 1-15, April.
    2. Gordon, J. Douglas, 1985. "The Distribution of Daily Changes in Commodity Futures Prices," Technical Bulletins 156817, United States Department of Agriculture, Economic Research Service.
    3. Kidd, Willis V. & Brorsen, B. Wade, 2004. "Why have the returns to technical analysis decreased?," Journal of Economics and Business, Elsevier, vol. 56(3), pages 159-176.
    4. Peterson, Paul E. & Leuthold, Raymond M., 1982. "Using Mechanical Trading Systems To Evaluate The Weak Form Efficiency Of Futures Markets," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 14(01), pages 1-5, July.
    5. Hall, Joyce A. & Brorsen, B. Wade & Irwin, Scott H., 1989. "The Distribution of Futures Prices: A Test of the Stable Paretian and Mixture of Normals Hypotheses," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 24(1), pages 105-116, March.
    6. Hauser, Robert J. & Anderson, Dane K., 1984. "Modifying Traditional Option Pricing Formulae For Options On Soybean Futures," 1984 Annual Meeting, August 5-8, Ithaca, New York 279099, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    7. Ward, Clement E., 1980. "Toward A Performance Evaluation Of The Carcass Beef Market - Weak Form Test Of The Efficient Markets Model," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 12(01), pages 1-7, July.
    8. You‐How Go & Wee‐Yeap Lau, 2023. "What do we know about informational efficiency? Three puzzles and the new direction forward," Journal of Economic Surveys, Wiley Blackwell, vol. 37(4), pages 1489-1525, September.
    9. Karmen, Bradley & Mann, Jitendar S., 1981. "Efficiency Of Flexible Foreign Exchange Markets," Staff Reports 276714, United States Department of Agriculture, Economic Research Service.
    10. Rausser, Gordon C & Carter, Colin, 1983. "Futures Market Efficiency in the Soybean Complex," The Review of Economics and Statistics, MIT Press, vol. 65(3), pages 469-478, August.
    11. Kenyon, David E. & Harrington, David H., 1983. "Hedging strategies and farm marketing and financial risks," Agricultural Outlook Forum Archive 1923 - 1997 326150, United States Department of Agriculture, Agricultural Outlook Forum.
    12. Paul, Allen B., 1976. "Treatment of Hedging in Commodity Market Regulation," Technical Bulletins 158109, United States Department of Agriculture, Economic Research Service.
    13. Pluhar, Darwin M. & Shafer, Carl E. & Sporleder, Thomas L., "undated". "Helmuth's Trading Technique: Further Evidence and Implications for Cattle Hedging Strategies 1975-1982," Staff Paper Series 257976, Texas A&M University, Department of Agricultural Economics.
    14. Min-Kyoung Kim & Raymond M. Leuthold & ., 1997. "The Distributional Behavior of Futures Price Spread Changes: Parametric and Nonparametric Tests for Gold, T-Bonds, Corn and Live Cattle," Finance 9711001, 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. W. Walls, 2005. "Modeling Movie Success When ‘Nobody Knows Anything’: Conditional Stable-Distribution Analysis Of Film Returns," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 29(3), pages 177-190, August.
    2. Garcia, Philip & Hudson, Michael A. & Waller, Mark L., 1988. "The Pricing Efficiency of Agricultural Futures Markets: An Analysis of Previous Research Results," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 20(1), pages 119-130, July.
    3. Errunza, Vihang & Hogan, Kedreth Jr. & Mazumdar, Sumon C., 1996. "Behavior of international stock return distributions: A simple test of functional form," International Review of Economics & Finance, Elsevier, vol. 5(1), pages 51-61.
    4. Toker Doganoglu & Christoph Hartz & Stefan Mittnik, 2007. "Portfolio optimization when risk factors are conditionally varying and heavy tailed," Computational Economics, Springer;Society for Computational Economics, vol. 29(3), pages 333-354, May.
    5. Amir Hossein Ghatari & Mina Aminghafari & Adel Mohammadpour, 2024. "A New Type of LASSO Regression Model with Cauchy Noise," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 29(2), pages 277-300, June.
    6. Rausser, Gordon C & Carter, Colin, 1983. "Futures Market Efficiency in the Soybean Complex," The Review of Economics and Statistics, MIT Press, vol. 65(3), pages 469-478, August.
    7. Krzysztof Borowski & Malgorzata Lukasik, 2015. "Analysis of Selected Seasonality Effects in the Following Agricultural Markets: Corn, Wheat, Coffee, Cocoa, Sugar, Cotton and Soybeans," Eurasian Journal of Business and Management, Eurasian Publications, vol. 3(2), pages 12-37.
    8. Hallin, Marc & Swan, Yvik & Verdebout, Thomas & Veredas, David, 2013. "One-step R-estimation in linear models with stable errors," Journal of Econometrics, Elsevier, vol. 172(2), pages 195-204.
    9. Vijverberg, Wim P. & Hasebe, Takuya, 2015. "GTL Regression: A Linear Model with Skewed and Thick-Tailed Disturbances," IZA Discussion Papers 8898, Institute of Labor Economics (IZA).
    10. Kim, Jeong-Ryeol, 2002. "The stable long-run CAPM and the cross-section of expected returns," Discussion Paper Series 1: Economic Studies 2002,05, Deutsche Bundesbank.
    11. Ismat M. Ibrahim, 2018. "Comparison Between Maximum Likelihood Estimator And Ordinary Least Squares By Using Saz1 And Saz2 As Alternative Companion Mean Squares Of Error," Yearbook of the Faculty of Economics and Business Administration, Sofia University, Faculty of Economics and Business Administration, Sofia University St Kliment Ohridski - Bulgaria, vol. 16(1), pages 145-159, December.
    12. Kim, Jihyun & Meddahi, Nour, 2020. "Volatility regressions with fat tails," Journal of Econometrics, Elsevier, vol. 218(2), pages 690-713.
    13. Kurz-Kim, Jeong-Ryeol & Loretan, Mico, 2014. "On the properties of the coefficient of determination in regression models with infinite variance variables," Journal of Econometrics, Elsevier, vol. 181(1), pages 15-24.
    14. Tomek, William G. & Robinson, Kenneth L., 1977. "PART V. Agricultural Price Analysis and Outlook," AAEA Monographs, Agricultural and Applied Economics Association, number 337217, November.
    15. David Zajdenweber, 1977. "La vérification du CAPM et la théorie des promenades aléatoires. A propos d'une controverse," Revue Économique, Programme National Persée, vol. 28(6), pages 1005-1008.
    16. Majumdar, Sumit K., 2000. "With a little help from my friends? Cross-subsidy and installed-base quality in the U.S. telecommunications industry," International Journal of Industrial Organization, Elsevier, vol. 18(3), pages 445-470, April.
    17. Jihyun Kim & Nour Meddahi, 2020. "Volatility Regressions with Fat Tails," Post-Print hal-03142647, HAL.
    18. Majumdar, Sumit K., 2000. "Sluggish giants, sticky cultures, and dynamic capability transformation," Journal of Business Venturing, Elsevier, vol. 15(1), pages 59-78, January.
    19. Jovanovic, Franck & Schinckus, Christophe, 2017. "Econophysics and Financial Economics: An Emerging Dialogue," OUP Catalogue, Oxford University Press, number 9780190205034.
    20. Dasgupta, Madhuchhanda & Mishra, SK, 2004. "Least absolute deviation estimation of linear econometric models: A literature review," MPRA Paper 1781, University Library of Munich, Germany.

    More about this item

    Keywords

    ;
    ;
    ;

    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:ags:uerstb:158107. 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/ersgvus.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.