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A portfolio balance approach to the Canadian-U.S. exchange rate

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  • Cushman, David O.

Abstract

An empirical portfolio balance model based on Branson and Henderson [Branson, W. H., & Henderson, D. W. (1985). The specification and influence of assets markets. In: Jones R. W., Kenen, P. B. (Eds.), Handbook of International Economics, Volume 2, Elsevier, Amsterdam] is specified for the Canadian–U.S. exchange rate over the floating exchange rate period. Empirical implementation reveals two cointegrating vectors that closely, although not perfectly, match the home and foreign asset demands of the theoretical model. Furthermore, the exchange rate is important in the error correction process. Finally, although the significance is quantitatively and statistically modest, a simplified version of the empirical model resulting from general‐to‐specific procedures is able to beat a random walk at some out‐of‐sample forecast horizons.
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  • Cushman, David O., 2007. "A portfolio balance approach to the Canadian-U.S. exchange rate," Review of Financial Economics, Elsevier, vol. 16(3), pages 305-320.
    • Handle: RePEc:eee:revfin:v:16:y:2007:i:3:p:305-320
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    2. Raheem, Ibrahim, 2020. "Global financial cycles and exchange rate forecast: A factor analysis," MPRA Paper 105358, University Library of Munich, Germany.
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    4. Raheem, Ibrahim & Vo, Xuan Vinh, 2020. "A new approach to exchange rate forecast: The role of global financial cycle and time-varying parameters," MPRA Paper 105359, University Library of Munich, Germany.
    5. Theophilos Papadimitriou & Periklis Gogas & Vasilios Plakandaras, 2016. "Testing Exchange Rate Models in a Small Open Economy: an SVR Approach," Bulletin of Applied Economics, Risk Market Journals, vol. 3(2), pages 9-29.
    6. Pippenger, John, 2008. "Freely Floating Exchange Rates Do Not Systematically Overshoot," University of California at Santa Barbara, Economics Working Paper Series qt97m8z6hw, Department of Economics, UC Santa Barbara.
    7. Cushman, David O. & Michael, Nils, 2011. "Nonlinear trends in real exchange rates: A panel unit root test approach," Journal of International Money and Finance, Elsevier, vol. 30(8), pages 1619-1637.
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    10. Firat Melih Yilmaz & Ozer Arabaci, 2021. "Should Deep Learning Models be in High Demand, or Should They Simply be a Very Hot Topic? A Comprehensive Study for Exchange Rate Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 217-245, January.
    11. Papadimitriou, Theophilos & Gogas, Periklis & Plakandaras, Vasilios, 2013. "Forecasting the NOK/USD Exchange Rate with Machine Learning Techniques," DUTH Research Papers in Economics 5-2013, Democritus University of Thrace, Department of Economics.
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