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Price dependence among the major EU extra virgin olive oil markets: A time scale analysis

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  • Panagiotpu, Dimitrios
  • Stavrakoudis, Athanassios

Abstract

The goal of this study is to assess the strength and mode of price dependence by time scale, among the extra virgin olive oil markets of Italy, Spain and Greece. These three Mediterranean countries are responsible for 95\% of olive oil production within the European Union and they account for more than 50\% of the olive oil exports worldwide. For the empirical analysis, monthly prices from the aforementioned countries are utilized along with the tools of discrete wavelets and nonparametric copulas. Results indicate that: (a) Price linkages in the short-run are significantly different from those in the longer-run, with price dependence being stronger in the longer-run, and (b) in the very long run, price shocks of the same sign but of different magnitude are transmitted from Italy to Spain with a higher probability than they are transmitted from Italy to Greece. Accordingly, the time scale affects the intensity as well as the pattern of dependence, pointing this way to asymmetric price co-movement. Regarding the integration of the three markets, the finding of asymmetric co-movement is not consistent with well-integrated markets.

Suggested Citation

  • Panagiotpu, Dimitrios & Stavrakoudis, Athanassios, 2021. "Price dependence among the major EU extra virgin olive oil markets: A time scale analysis," MPRA Paper 114656, University Library of Munich, Germany, revised Jun 2022.
    • Handle: RePEc:pra:mprapa:114656
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    1. Chen, Xiaohong & Fan, Yanqin, 2006. "Estimation of copula-based semiparametric time series models," Journal of Econometrics, Elsevier, vol. 130(2), pages 307-335, February.
    2. Panagiotou Dimitrios & Stavrakoudis Athanassios, 2016. "Price Dependence between Different Beef Cuts and Quality Grades: A Copula Approach at the Retail Level for the U.S. Beef Industry," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 14(1), pages 121-131, May.
    3. Serra, Teresa & Gil, Jose Maria & Goodwin, Barry K., 2006. "Local Polynomial Fitting and Spatial Price Relationships: Price Transmission in the EU Markets for Pigmeat," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25388, International Association of Agricultural Economists.
    4. Neumeyer, Natalie & Omelka, Marek & Hudecová, Šárka, 2019. "A copula approach for dependence modeling in multivariate nonparametric time series," Journal of Multivariate Analysis, Elsevier, vol. 171(C), pages 139-162.
    5. Reboredo, Juan C., 2011. "How do crude oil prices co-move?: A copula approach," Energy Economics, Elsevier, vol. 33(5), pages 948-955, September.
    6. Andersen, Torben G. & Bollerslev, Tim & Diebold, Francis X. & Ebens, Heiko, 2001. "The distribution of realized stock return volatility," Journal of Financial Economics, Elsevier, vol. 61(1), pages 43-76, July.
    7. Panos Fousekis & Christos Emmanouilides & Vasilis Grigoriadis, 2017. "Price linkages in the international skim milk powder market: empirical evidence from nonparametric and time-varying copulas," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 61(1), pages 135-153, January.
    8. Reboredo, Juan C., 2012. "Do food and oil prices co-move?," Energy Policy, Elsevier, vol. 49(C), pages 456-467.
    9. Fabio Busetti & Andrew Harvey, 2011. "When is a Copula Constant? A Test for Changing Relationships," Journal of Financial Econometrics, Oxford University Press, vol. 9(1), pages 106-131, Winter.
    10. Fousekis, Panos & Grigoriadis, Vasilis, 2019. "Integration and Hierarchy of Pork Markets in the EU: An Analysis from the Vantage of Graph Theory," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 68(2), June.
    11. Panagiotou, Dimitrios, 2015. "Volatility Spillover Effects In The Extra Virgin Olive Oil Markets Of The Mediterranean," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 3(3), pages 1-11, July.
    12. Barry K. Goodwin & Ashley Hungerford, 2015. "Copula-Based Models of Systemic Risk in U.S. Agriculture: Implications for Crop Insurance and Reinsurance Contracts," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(3), pages 879-896.
    13. Reboredo, Juan C. & Rivera-Castro, Miguel A., 2014. "Wavelet-based evidence of the impact of oil prices on stock returns," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 145-176.
    14. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    15. Teresa Serra & José M. Gil & Barry K. Goodwin, 2006. "Local polynomial fitting and spatial price relationships: price transmission in EU pork markets," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 33(3), pages 415-436, September.
    16. Ramsey, J.B., 2002. "Wavelets in Economics and Finance: Past and Future," Working Papers 02-02, C.V. Starr Center for Applied Economics, New York University.
    17. GRIGORIADIS, Vasilis & EMMANOUILIDES, Christos & FOUSEKIS, Panos, 2016. "The Integration Of Pigmeat Markets In The Eu. Evidence From A Regular Mixed Vine Copula," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 19(1), pages 1-10, March.
    18. Gençay, Ramazan & Gençay, Ramazan & Selçuk, Faruk & Whitcher, Brandon J., 2001. "An Introduction to Wavelets and Other Filtering Methods in Finance and Economics," Elsevier Monographs, Elsevier, edition 1, number 9780122796708.
    19. Patton, Andrew, 2013. "Copula Methods for Forecasting Multivariate Time Series," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 899-960, Elsevier.
    20. G. P. Zanias, 1993. "Testing For Integration In European Community Agricultural Product Markets," Journal of Agricultural Economics, Wiley Blackwell, vol. 44(3), pages 418-427, September.
    21. Franziska Gaupp & Georg Pflug & Stefan Hochrainer‐Stigler & Jim Hall & Simon Dadson, 2017. "Dependency of Crop Production between Global Breadbaskets: A Copula Approach for the Assessment of Global and Regional Risk Pools," Risk Analysis, John Wiley & Sons, vol. 37(11), pages 2212-2228, November.
    22. Fousekis, Panos & Emmanouilides, Christos & Grigoriadis, Vasilis, 2017. "Price linkages in the international skim milk powder market: empirical evidence from nonparametric and time-varying copulas," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 61(1), January.
    23. Jadran Dobric & Friedrich Schmid, 2005. "Nonparametric estimation of the lower tail dependence λL in bivariate copulas," Journal of Applied Statistics, Taylor & Francis Journals, vol. 32(4), pages 387-407.
    24. Ramsey James B., 2002. "Wavelets in Economics and Finance: Past and Future," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 6(3), pages 1-29, November.
    25. Christos J. Emmanouilides & Panos Fousekis, 2012. "Testing for the LOP under nonlinearity: an application to four major EU pork markets," Agricultural Economics, International Association of Agricultural Economists, vol. 43(6), pages 715-723, November.
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    More about this item

    Keywords

    Wavelets; Copulas; Extra virgin olive oil; Price dependence.;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • L66 - Industrial Organization - - Industry Studies: Manufacturing - - - Food; Beverages; Cosmetics; Tobacco
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products

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