IDEAS home Printed from https://ideas.repec.org/a/nax/conyad/v58y2013i1p117-129.html
   My bibliography  Save this article

Aplicación de bicorrelación cruzada al rendimiento diario del precio del café

Author

Listed:
  • Coronado Ramírez Semei Leopoldo

    (Universidad de Guadalajara)

  • Porras Serrano Jesús

    (Instituto Politécnico Nacional)

  • Sandoval Bravo Salvador

    (Universidad de Guadalajara)

Abstract

This paper uses the cross bicorrelation methodology, which can capture nonlinear trascendence periods through window functions and third-order moments. It applies to the return of four sets of commodities of coffee traded on the New York market (Arabica Colombian, mild Arabica, Arabica Brazilian and Other Arabicas), during the 20/06/1997 - 27/10/2010 period. The results conclude that there is a cross bicorrelation among the four series, with Brazilian type coffee being the leader and a lower bicorrelation with other Arabicas. This complicates decisions for investors in such series.

Suggested Citation

  • Coronado Ramírez Semei Leopoldo & Porras Serrano Jesús & Sandoval Bravo Salvador, 2013. "Aplicación de bicorrelación cruzada al rendimiento diario del precio del café," Contaduría y Administración, Accounting and Management, vol. 58(1), pages 117-129, enero-mar.
  • Handle: RePEc:nax:conyad:v:58:y:2013:i:1:p:117-129
    as

    Download full text from publisher

    File URL: http://www.cya.unam.mx/index.php/cya/article/view/151
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. M. Potters & J. P. Bouchaud & L. Laloux, 2005. "Financial Applications of Random Matrix Theory: Old Laces and New Pieces," Papers physics/0507111, arXiv.org.
    2. Costas Milas & Jesús Otero & Theodore Panagiotidis, 2004. "Forecasting the spot prices of various coffee types using linear and non-linear error correction models," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 9(3), pages 277-288.
    3. Sharifi, S. & Crane, M. & Shamaie, A. & Ruskin, H., 2004. "Random matrix theory for portfolio optimization: a stability approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 335(3), pages 629-643.
    4. Brooks, Chris & Hinich, Melvin J., 1999. "Cross-correlations and cross-bicorrelations in Sterling exchange rates," Journal of Empirical Finance, Elsevier, vol. 6(4), pages 385-404, October.
    5. Czamanski, Daniel & Dormaar, Paul & Hinich, Melvin J. & Serletis, Apostolos, 2007. "Episodic nonlinearity and nonstationarity in Alberta's power and natural gas markets," Energy Economics, Elsevier, vol. 29(1), pages 94-104, January.
    6. Costas Milas & Jesus Otero, 2002. "Smooth transition vector error correction models for the spot prices of coffee," Applied Economics Letters, Taylor & Francis Journals, vol. 9(14), pages 925-928.
    7. Wilcox, Diane & Gebbie, Tim, 2007. "An analysis of cross-correlations in an emerging market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 375(2), pages 584-598.
    8. Vogelvang, E, 1992. "Hypotheses Testing Concerning Relationships between Spot Prices of Various Types of Coffee," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(2), pages 191-201, April-Jun.
    9. Panagiotidis, Theodore & Pelloni, Gianluigi, 2003. "Testing for non-linearity in labour markets: the case of Germany and the UK," Journal of Policy Modeling, Elsevier, vol. 25(3), pages 275-286, April.
    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. Andrea Bastianin & Alessandro Lanza & Matteo Manera, 2018. "Economic impacts of El Niño southern oscillation: evidence from the Colombian coffee market," Agricultural Economics, International Association of Agricultural Economists, vol. 49(5), pages 623-633, September.
    2. John M. Fry & Baoying Lai & Mark Rhodes, 2011. "The interdependence of Coffee spot and futures market," Working Papers 2011.1, International Network for Economic Research - INFER.
    3. Atanu Ghoshray, 2009. "On Price Dynamics for Different Qualities of Coffee," Review of Market Integration, India Development Foundation, vol. 1(1), pages 103-118, April.
    4. Leonidas Sandoval Junior & Italo De Paula Franca, 2011. "Correlation of financial markets in times of crisis," Papers 1102.1339, arXiv.org, revised Mar 2011.
    5. David Ubilava, 2012. "El Niño, La Niña, and world coffee price dynamics," Agricultural Economics, International Association of Agricultural Economists, vol. 43(1), pages 17-26, January.
    6. Wang, Gang-Jin & Xie, Chi & Chen, Shou & Yang, Jiao-Jiao & Yang, Ming-Yan, 2013. "Random matrix theory analysis of cross-correlations in the US stock market: Evidence from Pearson’s correlation coefficient and detrended cross-correlation coefficient," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(17), pages 3715-3730.
    7. Atanu Ghoshray, 2010. "The Extent Of The World Coffee Market," Bulletin of Economic Research, Wiley Blackwell, vol. 62(1), pages 97-107, January.
    8. Nick James & Max Menzies, 2023. "Collective dynamics, diversification and optimal portfolio construction for cryptocurrencies," Papers 2304.08902, arXiv.org, revised Jun 2023.
    9. Li, Xi-Le & Saghaian, Sayed, 2014. "The Presence Of Market Power In The Coffee Market: The Case Of Colombian Milds," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170348, Agricultural and Applied Economics Association.
    10. Sephton, Peter S., 2019. "El Niño, La Niña, and a cup of Joe," Energy Economics, Elsevier, vol. 84(C).
    11. Svensson, Jens, 2007. "The asymptotic spectrum of the EWMA covariance estimator," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 385(2), pages 621-630.
    12. Semei Coronado & Omar Rojas & Rafael Romero-Meza & Francisco Venegas-Martinez, 2015. "A study of co-movements between USA and Latin American stock markets: a cross-bicorrelations perspective," Papers 1503.06926, arXiv.org.
    13. Dalibor Eterovic & Nicolas Eterovic, 2012. "Separating the Wheat from the Chaff: Understanding Portfolio Returns in an Emerging Market," Working Papers wp_025, Adolfo Ibáñez University, School of Government.
    14. Costas Milas & Jesús Otero & Theodore Panagiotidis, 2004. "Forecasting the spot prices of various coffee types using linear and non-linear error correction models," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 9(3), pages 277-288.
    15. Fousekis, Panos & Grigoriadis, Vasilis, 2022. "Conditional tail price risk spillovers in coffee markets across quality, physical space, and time: Empirical analysis with penalized quantile regressions," Economic Modelling, Elsevier, vol. 106(C).
    16. Semei Coronado & Omar Rojas, 2016. "A study of co-movements between oil price, stock index and exchange rate under a cross-bicorrelation perspective: the case of Mexico," Papers 1602.03271, arXiv.org.
    17. Sandoval, Leonidas & Franca, Italo De Paula, 2012. "Correlation of financial markets in times of crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(1), pages 187-208.
    18. Yin, Yi & Shang, Pengjian, 2013. "Modified DFA and DCCA approach for quantifying the multiscale correlation structure of financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(24), pages 6442-6457.
    19. Assaf Almog & Ferry Besamusca & Mel MacMahon & Diego Garlaschelli, 2015. "Mesoscopic Community Structure of Financial Markets Revealed by Price and Sign Fluctuations," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-16, July.
    20. Rodrigo Aranda & Patricio Jaramillo, 2008. "Nonlinear Dynamic in the Chilean Stock Market: Evidence from Returns and Trading Volume," Working Papers Central Bank of Chile 463, Central Bank of Chile.

    More about this item

    Keywords

    bicorrelación cruzada; commodities; rendimiento del precio del café;
    All these keywords.

    JEL classification:

    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    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:nax:conyad:v:58:y:2013:i:1:p:117-129. 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: Alberto García-Narvaez (Technical Editor) (email available below). General contact details of provider: https://edirc.repec.org/data/fcunamx.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.