A forecasting model of the US$/$A exchange rate is derived through the application of vector autoregression (VAR) techniques. The major theoretical models of exchange rate determination are reviewed to identify relevant variables to include in the VAR model. For the within-sample period of September 1974 to May 1983, the VAR forecasts are found to be clearly superior to the naive no-charge extrapolated forecasts. However, the position is reversed when the out-of-sample forecasts are examined.
Adam, C.M., 1983, Testing monetary models of the Australian-US exchange rate, Working Paper 83–010, Australian Graduate School of Management.
2.
Belsley, D.A., E. Kuh and R.E. Welsch, 1980, Regression diagnostics: identifying influential data and sources of collinearity (New York, John Wiley and Sons).
3.
Board of Governors of the Federal Reserve System, Federal Reserve Bulletin (Washington D.C.).
4.
Brown, R.L., J. Durbin and J.M. Evans, 1975, “Techniques for testing the constancy of regression relationships over time”, Journal of the Royal Statistical Society,” Series B, 37, 149–163.
5.
Cornell, B., 1983, “The money supply announcements puzzle: review and interpretation,”American Economic Review, 73(4), 644–657.
6.
Frankel, J.A., 1979, “On the mark: a theory of floating exchange rates based on real interest differentials,”American Economic Review, 69(4), 610–622.
7.
Granger, C.W.J., 1969, “Investigating causal relations by econometric models and cross-spectral methods”, Econometrica, 37, 424–438.
8.
Hsiao, C., 1979, “Autoregressive modeling of Canadian money and income data,”Journal of the American Statistical Association, 74(367), 553–560.
9.
Hsiao, C., 1982, “Autoregressive modeling and causal ordering of economic variables”, Journal of Economic Dynamics and Control, 4, 243–259.
10.
Koreisha, S.G., 1982, “Relationships between transfer functions, causal implications and econometric modeling specification,” in: O.D. Anderson and M.R. Perryman, eds., Applied Time Series Analysis (New York, North-Holland Publishing).
11.
Levich, R.M., 1978, Tests of forecasting models and market efficiency in the international money market, in: J.A. Frankel and H.G. Johnson, eds., The economics of exchange rates (Reading, Mass., Addison-Wesley Publishing).
12.
Masani, P., 1966, “Recent trends in multivariate prediction theory”, in: P.R. Krishnaiah, ed., Multivariate Analysis I (New York, Academic Press).
13.
McKinnon, R.I., 1981, “The exchange rate and macroeconomic policy: changing postwar perceptions,”Journal of Economic Literature, XIX, 531–557.
14.
McKinnon, R.I., 1982, “Currency substitution and instability in the world dollar standard,”American Economic Review, 72(3), 320–333.
15.
Meese, R.A. and K. Rogoff, 1983, “Empirical exchange rate models of the seventies: do they fit out of sample?,”Journal of International Economics, 14 (1–2), 3–24.
16.
Mussa, M., 1978, The exchange rate, the balance of payments and monetary and fiscal policy under a regime of controlled floating, in: J.A. Frankel and H.G. Johnson, eds., The Economics of Exchange Rates, (Reading, Mass., Addison-Wesley Publishing).
17.
Pearce, D.K., 1983, “Alternative views of exchange rate determination,”Economic Review, Federal Reserve Bank of Kansas City, February, 16–30.
18.
Pierce, D.A. and L.D. Haugh, 1977, “Causality in temporal systems: characterisations and a survey”, Journal of Econometrics, 5, 265–293.
19.
Tobin, J. and J.B. de Macedo, 1980, The short-run macroeconomics of floating exchange rates: an exposition, in: J.S. Chipman and C.P. Kindleberger, eds., Flexible exchange rates and the balance of payments, essays in memory of Egon Sohmen (Amsterdam, North Holland).
20.
Whitman, M., 1975, “Global monetarism and the monetary approach to the balance of payments”, Brookings Papers on Economic Activity, 3, 491–556.
21.
Wiener, N., 1949, Extrapolation, interpolation and smoothing of stationary time series (Cambridge, Technology Press, and New York, John Wiley and Sons).
22.
Wold, H., 1954, A Study in the Analysis of Stationary Time Series, (Uppsala, Almqvist and Wicksell).