IDEAS home Printed from https://ideas.repec.org/a/rss/jnljef/v2i4p5.html
   My bibliography  Save this article

An Additive SARIMA Model for Daily Exchange Rates of the Malaysian Ringgit (MYR) and Nigerian Naira (NGN)

Author

Listed:
  • Ette Harrison Etuk

Abstract

The daily exchange rates of the Nigerian Naira (NGN) and Malaysian Ringgit (MYR) from Wednesday,6th November 2013 to Monday, 21st April 2014 are being modeled by Seasonal Autoregressive Integrated Moving Average (SARIMA) methods. The realization herein referred to as RNER initially had a downward trend to January 2014 after which the trend became positive. That means that initially the Naira appreciated before depreciating relatively after January. A 7-day differencing of RNER produced the series called SDRNER with a fairly horizontal trend. The Augmented Dickey Fuller (ADF) Test declares RNER and SDRNER as non-stationary and stationary respectively. The correlogram of SDRNER has an autocorrelation function (ACF) that cuts off at lag 4 and a partial autocorrelation function (PACF) that cuts off at lag 1 suggesting a SARIMA (1, 0, 4)x(0, 1, 0)7 model fit. The residuals of this model, rather than being uncorrelated, are seasonal with period 7. This seems to invalidate the model. A further but non-seasonal differencing of SDRNER yields the series called DSDRNER which exhibits a generally horizontal trend. All along seasonality is not so obvious. However the ACF of DSDRNER shows seasonality of period 7 as well as the existence of a seasonal moving average component of order one. By Surhatono’s (2011) algorithm a SARIMA (0, 1, 1)x(0, 1, 1)7 model is fitted. With the non-significance of the last coefficient, an additive model is suggestive. This additive model is shown to be the best of the three proposed models.

Suggested Citation

  • Ette Harrison Etuk, 2014. "An Additive SARIMA Model for Daily Exchange Rates of the Malaysian Ringgit (MYR) and Nigerian Naira (NGN)," International Journal of Empirical Finance, Research Academy of Social Sciences, vol. 2(4), pages 193-201.
  • Handle: RePEc:rss:jnljef:v2i4p5
    as

    Download full text from publisher

    File URL: http://rassweb.org/admin/pages/ResearchPapers/Paper%205_1497043755.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Paul, Ranjit Kumar & Panwar, Sanjeev & Sarkar, Susheel Kumar & Kumar, Anil & Singh, K.N. & Farooqi, Samir & Choudhary, Vipin Kumar, 2013. "Modelling and Forecasting of Meat Exports from India," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 26(2).
    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. Alma Braimllari (Spaho) & Oltiana Toshkollari, 2016. "Econometric Modeling and Forecasting of Food Exports in Albania," European Journal of Multidisciplinary Studies Articles, Revistia Research and Publishing, vol. 1, January -.
    2. Ette Harrison Etuk & Belief Nsirimobi Elenga & Maxwell Awoingo Adonijah & Wokoma Dagogo Samuel Allen & Felicia Ette Etuk, 2014. "A SARIMA Fit to Monthly Nigerian Import Commodity Price Indices," Journal of Empirical Economics, Research Academy of Social Sciences, vol. 3(5), pages 306-313.
    3. Paul, R.K., 2014. "Forecasting Wholesale Price of Pigeon Pea Using Long Memory Time-Series Models," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 27(2).
    4. Ram Singh & Areej Aftab Siddiqui, 2021. "Identifying Markets and Forecasting Export Prospects for India’s Marine Products," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 20(1), pages 57-72, June.

    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:rss:jnljef:v2i4p5. 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: Danish Khalil (email available below). General contact details of provider: http://www.rassweb.org .

    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.