IDEAS home Printed from https://ideas.repec.org/a/eco/journ1/2016-01-23.html
   My bibliography  Save this article

Commodity Channel Index: Evaluation of Trading Rule of Agricultural Commodities

Author

Listed:
  • Mansoor Maitah

    (Department of Economics, Faculty of Economics and Management, Czech University of Life Sciences, Prague, Czech Republic,)

  • Petr Prochazka

    (Department of Economics, Faculty of Economics and Management, Czech University of Life Sciences, Prague, Czech Republic,)

  • Michal Cermak

    (Department of Economics, Faculty of Economics and Management, Czech University of Life Sciences, Prague, Czech Republic,)

  • Karel r dl

    (Department of Economic Theories, Faculty of Economics and Management, Czech University of Life Sciences, Prague, Czech Republic)

Abstract

This paper is focused on evaluating the trading rule of indicator commodity channel index (CCI), using selected agricultural commodities. The reason of testing is that this indicator is calculated with respect to fluctuation of commodity market - volatility. The recent issue of commodity markets examines trading under risk. The concept is in analyzing of predictive power of CCI. The main core of this paper is if the trading strategy under evaluating using technical analysis, respectively CCI, reaches positive profit. The returns of trading rule are measured using signals to buying or selling and comparison each of them. Authors of this paper created trading rule based on CCI and tested it on commodity markets. The results are positive in term of % CCI. Findings of the strategy are positive due to measurement volatility involved in indicator. The commodity markets are volatile, time series are fluctuating due to actual announcements or news.

Suggested Citation

  • Mansoor Maitah & Petr Prochazka & Michal Cermak & Karel r dl, 2016. "Commodity Channel Index: Evaluation of Trading Rule of Agricultural Commodities," International Journal of Economics and Financial Issues, Econjournals, vol. 6(1), pages 176-178.
    • Handle: RePEc:eco:journ1:2016-01-23
    as

    Download full text from publisher

    File URL: http://www.econjournals.com/index.php/ijefi/article/download/1648/pdf
    Download Restriction: no
    File URL: http://www.econjournals.com/index.php/ijefi/article/view/1648/pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chang, P H Kevin & Osler, Carol L, 1999. "Methodical Madness: Technical Analysis and the Irrationality of Exchange-Rate Forecasts," Economic Journal, Royal Economic Society, vol. 109(458), pages 636-661, October.
    2. Marilyne Huchet-Bourdon, 2011. "Agricultural Commodity Price Volatility: An Overview," OECD Food, Agriculture and Fisheries Papers 52, OECD Publishing.
    3. Svatos, Miroslav & Smutka, Lubos & Smutka, B.A.M. & Mousbah, S.A.A., 2013. "Development of Visegrad Countries’ Agricultural Trade in Relation to Agricultural Production Development," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 5(1), pages 1-11, March.
    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. Tidor-Vlad Pricope, 2021. "Deep Reinforcement Learning in Quantitative Algorithmic Trading: A Review," Papers 2106.00123, arXiv.org.
    2. Pick-Soon Ling & Ruzita Abdul-Rahim, 2017. "Market Efficiency Based on Unconventional Technical Trading Strategies in Malaysian Stock Market," International Journal of Economics and Financial Issues, Econjournals, vol. 7(3), pages 88-96.
    3. Aurthur Vimalachandran Thomas Jayachandran, 2022. "The financial crash of 2020 and the retail trader’s boon: a correlation between sentiment and technical analysis," SN Business & Economics, Springer, vol. 2(6), pages 1-8, June.

    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. Čermák, Michal & Ligocká, Marie, 2022. "Could Exist a Causality Between the Most Traded Commodities and Futures Commodity Prices in the Agricultural Market?," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 14(4), December.
    2. Deborah Bentivoglio & Adele Finco & Mirian Rumenos Piedade Bacchi, 2016. "Interdependencies between Biofuel, Fuel and Food Prices: The Case of the Brazilian Ethanol Market," Energies, MDPI, vol. 9(6), pages 1-16, June.
    3. Stephan Schulmeister, 2000. "Technical Analysis and Exchange Rate Dynamics," WIFO Studies, WIFO, number 25857.
    4. Rosa, Franco & Vasciaveo, Michela & Weaver, Robert D., 2014. "Agricultural and oil commodities: price transmission and market integration between US and Italy," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 3(2), pages 1-25, August.
    5. Kornher, Lukas & Kalkuhl, Matthias, 2013. "Food Price Volatility in Developing Countries and its Determinants," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 52(4), pages 1-32, November.
    6. Karyotis, Catherine & Alijani, Sharam, 2016. "Soft commodities and the global financial crisis: Implications for the economy, resources and institutions," Research in International Business and Finance, Elsevier, vol. 37(C), pages 350-359.
    7. Philippe Boyer, 2021. "The food euro : method and new results to analyze distribution of value in the french food chain [L’euro alimentaire : méthode et nouveaux résultats pour l’analyse de la répartition de la valeur da," Post-Print hal-03575974, HAL.
    8. Moews, Ben & Ibikunle, Gbenga, 2020. "Predictive intraday correlations in stable and volatile market environments: Evidence from deep learning," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 547(C).
    9. Friesen, Geoffrey C. & Weller, Paul A. & Dunham, Lee M., 2009. "Price trends and patterns in technical analysis: A theoretical and empirical examination," Journal of Banking & Finance, Elsevier, vol. 33(6), pages 1089-1100, June.
    10. Camillo Lento & Nikola Gradojevic, 2022. "The Profitability of Technical Analysis during the COVID-19 Market Meltdown," JRFM, MDPI, vol. 15(5), pages 1-19, April.
    11. Daria Loginova & Marco Portmann & Martin Huber, 2021. "Assessing the Effects of Seasonal Tariff‐rate Quotas on Vegetable Prices in Switzerland," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(2), pages 607-627, June.
    12. Ndivhuho Tshikovhi & Krantisagar More & Zamaswazi Cele, 2023. "Driving Sustainable Growth for Small and Medium Enterprises in Emerging Urban–Rural Economies," Sustainability, MDPI, vol. 15(21), pages 1-11, October.
    13. Giray Gozgor, 2019. "Effects of the agricultural commodity and the food price volatility on economic integration: an empirical assessment," Empirical Economics, Springer, vol. 56(1), pages 173-202, January.
    14. M. Huchet Bourdon & C. Laroche Dupraz, 2014. "National food security: a framework for public policy and international trade," FOODSECURE Working papers 17, LEI Wageningen UR.
    15. Neely, Christopher J., 2002. "The temporal pattern of trading rule returns and exchange rate intervention: intervention does not generate technical trading profits," Journal of International Economics, Elsevier, vol. 58(1), pages 211-232, October.
    16. Dicle, Mehmet F. & Levendis, John, 2020. "Historic risk and implied volatility," Global Finance Journal, Elsevier, vol. 45(C).
    17. Tweneboah Senzu, Emmanuel, 2020. "Modern currency exchange rate behaviour and proposed trend-like forecasting model," MPRA Paper 99933, University Library of Munich, Germany.
    18. 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.
    19. Manahov, Viktor & Hudson, Robert & Gebka, Bartosz, 2014. "Does high frequency trading affect technical analysis and market efficiency? And if so, how?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 28(C), pages 131-157.
    20. Dennis Bergmann & Declan O’Connor & Andreas Thümmel, 2016. "An analysis of price and volatility transmission in butter, palm oil and crude oil markets," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 4(1), pages 1-23, December.

    More about this item

    Keywords

    Commodity Channel Index; Agricultural Commodities; Trading;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

    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:eco:journ1:2016-01-23. 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: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.com .

    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.