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Why Does the Australian Dollar Move so Closely with the Terms of Trade?

Author

Listed:
  • David Gruen

    (Reserve Bank of Australia)

  • Tro Kortian

    (Reserve Bank of Australia)

Abstract

The paper is motivated by two empirical results. Australia’s terms of trade exhibit temporary fluctuations around a slowly declining trend, and movements in Australia’s real exchange rate tend to follow those in the terms of trade. Together these results imply predictability in Australia’s real exchange rate as well as the presence of predictable excess returns that are sometimes quite large. Using a simple econometric model, with the terms of trade as the sole explanator, the paper demonstrates the forecastability of Australia’s real exchange rate over horizons ranging from one to two years. It then quantifies the magnitude of the predictable excess returns to holding Australian dollar denominated assets over such horizons, finding them to be highly variable and sometimes quite large in magnitude. The results suggest a relative scarcity of forward-looking foreign exchange market participants with an investment horizon of a year or more.

Suggested Citation

  • David Gruen & Tro Kortian, 1996. "Why Does the Australian Dollar Move so Closely with the Terms of Trade?," RBA Research Discussion Papers rdp9601, Reserve Bank of Australia.
    • Handle: RePEc:rba:rbardp:rdp9601
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    File URL: https://www.rba.gov.au/publications/rdp/1996/pdf/rdp9601.pdf
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    References listed on IDEAS

    as
    1. repec:bla:ecorec:v:70:y:1994:i:209:p:204-19 is not listed on IDEAS
    2. Jeffrey A. Frankel & Andrew K. Rose, 1994. "A Survey of Empirical Research on Nominal Exchange Rates," NBER Working Papers 4865, National Bureau of Economic Research, Inc.
    3. Sarno,Lucio & Taylor,Mark P., 2003. "The Economics of Exchange Rates," Cambridge Books, Cambridge University Press, number 9780521485845, September.
    4. David W. R. Gruen & Jenny Wilkinson, 1994. "Australia's Real Exchange Rate–Is it Explained by the Terms of Trade or by Real Interest Differentials?," The Economic Record, The Economic Society of Australia, vol. 70(209), pages 204-219, June.
    5. Adrian Blundell-Wignall & Robert G. Gregory, 1990. "Exchange Rate Policy in Advanced Commodity-Exporting Countries: The Case of Australia and New Zealand," OECD Economics Department Working Papers 83, OECD Publishing.
    6. repec:bla:ecorec:v:0:y:1986:i:0:p:69-78 is not listed on IDEAS
    7. David Gruen & Geoffrey Shuetrim, 1994. "Internationalisation and the Macroeconomy," RBA Annual Conference Volume (Discontinued), in: Philip Lowe & Jacqueline Dwyer (ed.),International Intergration of the Australian Economy, Reserve Bank of Australia.
    8. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    9. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    10. Meese, Richard A. & Rogoff, Kenneth, 1983. "Empirical exchange rate models of the seventies : Do they fit out of sample?," Journal of International Economics, Elsevier, vol. 14(1-2), pages 3-24, February.
    11. Adrian Blundell-Wignall & Jerome Fahrer & Alexandra Heath, 1993. "Major Influences on the Australian Dollar Exchange Rate," RBA Annual Conference Volume (Discontinued), in: Adrian Blundell-Wignall (ed.),The Exchange Rate, International Trade and the Balance of Payments, Reserve Bank of Australia.
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    More about this item

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • F31 - International Economics - - International Finance - - - Foreign Exchange

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