IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/75941.html
   My bibliography  Save this paper

Quantifying the impact of Ramadan on global raw sugar prices

Author

Listed:
  • Kazi Abrar, Hossain
  • Syed Abul, Basher
  • A.K. Enamul, Haque

Abstract

Each year during the month of Ramadan (Muslim fasting month) consumption of sugar increased dramatically across the globe as Muslims traditionally break their fast with some sweet drinks or products. Since Muslims use lunar calendar, the months are not fully aligned with the Gregorian calendar or with the seasonal calendar for agricultural crops. In this paper, we quantify the impact of Ramadan on both the price and its growth of global raw sugar price. To set the stage for the empirical work that follows, we employ a dummy and a fractional variable to capture Ramadan in order to overcome the asynchronicity of time between Ramadan fasting (which is based on Islamic lunar calendar) and movement in prices (which follows the Gregorian solar calendar). In order to capture seasonality of production in sugar production, data on sugar price spans over thirty-four years so that the Islamic calendar makes a complete cycle of the Gregorian calendar. Using ARIMA and UCM models, we find strong evidence that monthly raw sugar prices in the global market increases by roughly 6.06% (or $17.78 per metric ton) every year ahead of Ramadan.

Suggested Citation

  • Kazi Abrar, Hossain & Syed Abul, Basher & A.K. Enamul, Haque, 2017. "Quantifying the impact of Ramadan on global raw sugar prices," MPRA Paper 75941, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:75941
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/75941/1/MPRA_paper_75941.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Stefan Reitz & Frank Westerhoff, 2007. "Commodity price cycles and heterogeneous speculators: a STAR–GARCH model," Empirical Economics, Springer, vol. 33(2), pages 231-244, September.
    2. Muhammad Akmal & Muhammad Usman Abbasi, 2011. "Ramadan Effect on Price Movements: Evidence from Pakistan," Working Papers id:3937, eSocialSciences.
    3. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    4. Chen, Bo & Saghaian, Sayed, 2015. "The Relationship among Ethanol, Sugar and Oil Prices in Brazil: Cointegration Analysis with Structural Breaks," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196788, Southern Agricultural Economics Association.
    5. Stephen Devadoss & Jurgen Kropf, 1996. "Impacts of trade liberalizations under the Uruguay Round on the world sugar market," Agricultural Economics, International Association of Agricultural Economists, vol. 15(2), pages 83-96, November.
    6. Leonel M. Pereira & Celma de Oliveira Ribeiro & José R. Securato, 2012. "Agricultural commodities pricing model applied to the Brazilian sugar market," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(4), pages 542-557, October.
    7. Hylleberg, S. & Engle, R. F. & Granger, C. W. J. & Yoo, B. S., 1990. "Seasonal integration and cointegration," Journal of Econometrics, Elsevier, vol. 44(1-2), pages 215-238.
    8. Stephan Nolte & Jeroen Buysse & Guido Van Huylenbroeck, 2012. "Modelling the effects of an abolition of the EU sugar quota on internal prices, production and imports," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 39(1), pages 75-94, February.
    9. Ribeiro, Celma O. & Oliveira, Sydnei M., 2011. "A hybrid commodity price-forecasting model applied to the sugar–alcohol sector," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(2), pages 1-19.
    10. Devadoss, Stephen & Kropf, Jurgen, 1996. "Impacts of trade liberalizations under the Uruguay round on the world sugar market," Agricultural Economics, Blackwell, vol. 15(2), pages 83-96, November.
    11. Harvey, Andrew, 2006. "Forecasting with Unobserved Components Time Series Models," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 7, pages 327-412, Elsevier.
    12. Pellegrini, Santiago & Ruiz Ortega, Esther & Espasa, Antoni, 2007. "The relationship between ARIMA-GARCH and unobserved component models with GARCH disturbances," DES - Working Papers. Statistics and Econometrics. WS ws072706, Universidad Carlos III de Madrid. Departamento de Estadística.
    13. Riaz Riazuddin & Mahmood ul Hasan Khan, 2005. "Detection and Forecasting of Islamic Calendar Effects in Time series Data," SBP Research Bulletin, State Bank of Pakistan, Research Department, vol. 1, pages 25-34.
    14. Gibson, Rajna & Schwartz, Eduardo S, 1990. "Stochastic Convenience Yield and the Pricing of Oil Contingent Claims," Journal of Finance, American Finance Association, vol. 45(3), pages 959-976, July.
    15. Celma O. Ribeiro & Sydnei M. Oliveira, 2011. "A hybrid commodity price‐forecasting model applied to the sugar–alcohol sector," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(2), pages 180-198, April.
    16. Pereira, Leonel M. & Ribeiro, Celma de Oliveira & Securato, Jose R., 2012. "Agricultural commodities pricing model applied to the Brazilian sugar market," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(4), pages 1-16, December.
    17. Yucel, Eray M., 2005. "Does Ramadan Have Any Effect on Food Prices: A Dual-Calendar Perspective on the Turkish Data," MPRA Paper 1141, University Library of Munich, Germany.
    18. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
    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. Murat Yaş & Ahmet Faruk Aysan & Mohamed Eskandar Shah Mohd Rasid, 2022. "Are religious investors financially smart? evidence from equity funds," Journal of Asset Management, Palgrave Macmillan, vol. 23(1), pages 33-45, February.

    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. Derek Bond & Michael J. Harrison & Edward J. O'Brien, 2005. "Testing for Long Memory and Nonlinear Time Series: A Demand for Money Study," Trinity Economics Papers tep20021, Trinity College Dublin, Department of Economics.
    2. Artur Silva Lopes, 2006. "Deterministic seasonality in Dickey–Fuller tests: should we care?," Empirical Economics, Springer, vol. 31(1), pages 165-182, March.
    3. del Barrio Castro, Tomás & Rodrigues, Paulo M.M. & Robert Taylor, A.M., 2018. "Semi-Parametric Seasonal Unit Root Tests," Econometric Theory, Cambridge University Press, vol. 34(2), pages 447-476, April.
    4. Jürgen Wolters & Uwe Hassler, 2006. "Unit root testing," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 90(1), pages 43-58, March.
    5. Rodrigues, Paulo M.M. & Taylor, A.M. Robert, 2007. "Efficient tests of the seasonal unit root hypothesis," Journal of Econometrics, Elsevier, vol. 141(2), pages 548-573, December.
    6. Robert Jump & Ivan Mendieta-Muñoz, 2017. "Wage led aggregate demand in the United Kingdom," International Review of Applied Economics, Taylor & Francis Journals, vol. 31(5), pages 565-584, September.
    7. Zagaglia, Paolo, 2010. "Macroeconomic factors and oil futures prices: A data-rich model," Energy Economics, Elsevier, vol. 32(2), pages 409-417, March.
    8. Solomon Abayomi Olakojo, 2020. "A Markov‐switching analysis of Nigeria's business cycles: Are election cycles important?," African Development Review, African Development Bank, vol. 32(1), pages 67-79, March.
    9. Tom�s del Barrio Castro & Denise R. Osborn & A.M. Robert Taylor, 2016. "The Performance of Lag Selection and Detrending Methods for HEGY Seasonal Unit Root Tests," Econometric Reviews, Taylor & Francis Journals, vol. 35(1), pages 122-168, January.
    10. Marcos Álvarez-Díaz & Manuel González-Gómez & María Soledad Otero-Giráldez, 2016. "La modelización de la demanda de turismo de economías emergentes: el caso de la llegada de turistas rusos a España," Cuadernos de Economía - Spanish Journal of Economics and Finance, Asociación Cuadernos de Economía, vol. 39(110), pages 112-125, Mayo.
    11. Apergis, Nicholas & Chatziantoniou, Ioannis & Cooray, Arusha, 2020. "Monetary policy and commodity markets: Unconventional versus conventional impact and the role of economic uncertainty," International Review of Financial Analysis, Elsevier, vol. 71(C).
    12. Basher, Syed Abul & Raboy, David G., 2018. "The misuse of net present value in energy efficiency standards," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 218-225.
    13. Franses,Philip Hans & Dijk,Dick van & Opschoor,Anne, 2014. "Time Series Models for Business and Economic Forecasting," Cambridge Books, Cambridge University Press, number 9780521520911.
    14. John D. Levendis, 2018. "Time Series Econometrics," Springer Texts in Business and Economics, Springer, number 978-3-319-98282-3, August.
    15. Narayan, Paresh Kumar & Popp, Stephan, 2011. "An application of a new seasonal unit root test to inflation," International Review of Economics & Finance, Elsevier, vol. 20(4), pages 707-716, October.
    16. Oliveira, Sydnei Marssal de & Ribeiro, Celma de Oliveira & Cicogna, Maria Paula Vieira, 2018. "Uncertainty effects on production mix and on hedging decisions: The case of Brazilian ethanol and sugar," Energy Economics, Elsevier, vol. 70(C), pages 516-524.
    17. James E Payne & Junsoo Lee, 2024. "Global perspective on the permanent or transitory nature of shocks to tourist arrivals: Evidence from new unit root tests with structural breaks and factors," Tourism Economics, , vol. 30(1), pages 67-103, February.
    18. Gil-Alana, Luis A. & Fischer, Christian, 2007. "International traveling and trade: further evidence for the case of Spanish wine based on fractional VAR specifications," 105th Seminar, March 8-10, 2007, Bologna, Italy 7859, European Association of Agricultural Economists.
    19. R. Santos Alimi, 2014. "ARDL Bounds Testing Approach to Cointegration: A Re-Examination of Augmented Fisher Hypothesis in an Open Economy," Asian Journal of Economic Modelling, Asian Economic and Social Society, vol. 2(2), pages 103-114, June.
    20. John C. Beghin & Barbara El Osta & Jay R. Cherlow & Samarendu Mohanty, 2003. "The Cost Of The U.S. Sugar Program Revisited," Contemporary Economic Policy, Western Economic Association International, vol. 21(1), pages 106-116, January.

    More about this item

    Keywords

    Raw Sugar Price; Ramadan; ARIMA; Unobserved-components model.;
    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
    • Q02 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Commodity Market
    • Z12 - Other Special Topics - - Cultural Economics - - - Religion

    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:75941. 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.