IDEAS home Printed from
   My bibliography  Save this article

Forecasting retail sales using alternative models


  • Geurts, Michael D.
  • Patrick Kelly, J.


No abstract is available for this item.

Suggested Citation

  • Geurts, Michael D. & Patrick Kelly, J., 1986. "Forecasting retail sales using alternative models," International Journal of Forecasting, Elsevier, vol. 2(3), pages 261-272.
  • Handle: RePEc:eee:intfor:v:2:y:1986:i:3:p:261-272

    Download full text from publisher

    File URL:
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    1. McKinnon, Ronald I., 1979. "Money in International Exchange: The Convertible Currency System," OUP Catalogue, Oxford University Press, number 9780195024098, June.
    2. Bilson, John F O, 1981. "The "Speculative Efficiency" Hypothesis," The Journal of Business, University of Chicago Press, vol. 54(3), pages 435-451, July.
    3. Taylor, Dean, 1982. "Official Intervention in the Foreign Exchange Market, or, Bet against the Central Bank," Journal of Political Economy, University of Chicago Press, vol. 90(2), pages 356-368, April.
    Full references (including those not matched with items on IDEAS)


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. Kolias, Georgios D. & Dimelis, Sophia P. & Filios, Vasilios P., 2011. "An empirical analysis of inventory turnover behaviour in Greek retail sector: 2000-2005," International Journal of Production Economics, Elsevier, vol. 133(1), pages 143-153, September.
    2. Thomas Fullerton & Adam Walke, 2014. "Homicides, exchange rates, and northern border retail activity in Mexico," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(3), pages 631-647, November.
    3. Jan G. De Gooijer & Rob J. Hyndman, 2005. "25 Years of IIF Time Series Forecasting: A Selective Review," Monash Econometrics and Business Statistics Working Papers 12/05, Monash University, Department of Econometrics and Business Statistics.
    4. Wong, W.K. & Guo, Z.X., 2010. "A hybrid intelligent model for medium-term sales forecasting in fashion retail supply chains using extreme learning machine and harmony search algorithm," International Journal of Production Economics, Elsevier, vol. 128(2), pages 614-624, December.
    5. De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.
    6. Fildes, Robert & Hibon, Michele & Makridakis, Spyros & Meade, Nigel, 1998. "Generalising about univariate forecasting methods: further empirical evidence," International Journal of Forecasting, Elsevier, vol. 14(3), pages 339-358, September.
    7. J. S. Armstrong & R. Brodie & S. McIntyre, 2005. "Forecasting Methods for Marketing:* Review of Empirical Research," General Economics and Teaching 0502023, EconWPA.
    8. Alberto Jaramillo & Hermilson Velásquez & Javier Santiago Ortiz & Natalia Serna, 2003. "Aspectos teóricos y empíricos de la relación empresas bancos," DOCUMENTOS DE TRABAJO CIEF 003922, UNIVERSIDAD EAFIT.
    9. Gardner, Everette Jr., 2006. "Exponential smoothing: The state of the art--Part II," International Journal of Forecasting, Elsevier, vol. 22(4), pages 637-666.
    10. Emrouznejad, Ali & Rostami-Tabar, Bahman & Petridis, Konstantinos, 2016. "A novel ranking procedure for forecasting approaches using Data Envelopment Analysis," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 235-243.

    More about this item


    Access and download statistics


    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:eee:intfor:v:2:y:1986:i:3:p:261-272. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: .

    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.

    We have no references for this item. You can help adding them by using 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.