Advanced Search
MyIDEAS: Login

Forecasting The Rand-Dollar And Rand-Pound Exchange Rates Using Dynamic Model Averaging

Contents:

Author Info

  • Riane de Bruyn

    ()
    (Department of Economics, University of Pretoria)

  • Rangan Gupta

    ()
    (Department of Economics, University of Pretoria)

  • Renee van Eyden

    ()
    (Department of Economics, University of Pretoria)

Abstract

Traditionally, the literature on forecasting exchange rates with many potential predictors have primarily only accounted for parameter uncertainty using Bayesian Model Averaging (BMA). Though BMA-based models of exchange rates tend to outperform the random walk model, we show that when accounting for model uncertainty over and above parameter uncertainty through the use of Dynamic model Averaging (DMA), the gains relative to the random walk model are even bigger. That is, DMA models outperform not only the random walk model, but also the BMA model of exchange rates. We obtain these results based on fifteen potential predictors used to forecast two South African Rand-based exchange rates. In the process, we also unveil variables, which tends to vary over time, that are good predictors of the Rand-Dollar and Rand-Pound exchange rates at different forecasting horizons.

Download Info

To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.

Bibliographic Info

Paper provided by University of Pretoria, Department of Economics in its series Working Papers with number 201307.

as in new window
Length: 30 pages
Date of creation: Jan 2013
Date of revision:
Handle: RePEc:pre:wpaper:201307

Contact details of provider:
Postal: PRETORIA, 0002
Phone: (+2712) 420 2413
Fax: (+2712) 362-5207
Web page: http://web.up.ac.za/default.asp?ipkCategoryID=677
More information through EDIRC

Related research

Keywords: Bayesian; state space models; exchange rates; macroeconomic fundamentals; forecasting;

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. Jonathan H. Wright, 2003. "Bayesian Model Averaging and exchange rate forecasts," International Finance Discussion Papers 779, Board of Governors of the Federal Reserve System (U.S.).
  2. Gary Koop & Dimitris Korobilis, 2009. "Forecasting Inflation Using Dynamic Model Averaging," Working Paper Series 34_09, The Rimini Centre for Economic Analysis, revised Jan 2009.
  3. Lumengo Bonga-Bonga, 2009. "Forward Exchange Rate Puzzle: Joining the Missing Pieces in the Rand-US Dollar Exchange Market," Working Papers 122, Economic Research Southern Africa.
  4. Simeon Coleman & Juan Carlos Cuestas & Estefanía Mourelle, 2011. "Investigating the oil price-exchange rate nexus: Evidence from Africa," Working Papers 2011015, The University of Sheffield, Department of Economics, revised May 2011.
  5. Rangan Gupta & Alain Kabundi, 2008. "Forecasting Macroeconomic Variables in a Small Open Economy: A Comparison between Small- and Large-Scale Models," Working Papers 200830, University of Pretoria, Department of Economics.
  6. Samuel Zita & Rangan Gupta, 2007. "Modelling and Forecasting the Metical-Rand Exchange Rate," Working Papers 200702, University of Pretoria, Department of Economics.
  7. Jacob Gyntelberg & Mico Loretan & Tientip Subhanij & Eric Chan, 2009. "Private information, stock markets, and exchange rates," Working Papers 2009-07, Economic Research Department, Bank of Thailand.
  8. Riané de Bruyn & Rangan Gupta & Lardo Stander, 2013. "Testing the Monetary Model for Exchange Rate Determination in South Africa: Evidence from 101 Years of Data," Contemporary Economics, University of Finance and Management in Warsaw, vol. 7(1), March.
  9. Feldkircher, Martin, 2010. "Forecast Combination and Bayesian Model Averaging - A Prior Sensitivity Analysis," Working Papers in Economics and Finance 2010-14, University of Salzburg.
  10. Hooper, Peter & Morton, John, 1982. "Fluctuations in the dollar: A model of nominal and real exchange rate determination," Journal of International Money and Finance, Elsevier, vol. 1(1), pages 39-56, January.
  11. Sami Alpanda & Kevin Kotzé & Geoffrey Woglom, 2011. "Forecasting Performance Of An Estimated Dsge Model For The South African Economy," South African Journal of Economics, Economic Society of South Africa, vol. 79(1), pages 50-67, 03.
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 in new window

Cited by:
  1. Goodness C. Aye & Mehmet Balcilar & Adel Bosch & Rangan Gupta & Francois Stofberg, 2013. "The out-of-sample forecasting performance of non-linear models of real exchange rate behaviour: The case of the South African Rand," Working Papers 201304, University of Pretoria, Department of Economics.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:pre:wpaper:201307. 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: (Rangan Gupta).

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 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.