Does the absence of cointegration explain the typical findings in long horizon regressions?

Citations

Cited by:

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10. Atsushi Inoue & Lutz Kilian, 2005. "In-Sample or Out-of-Sample Tests of Predictability: Which One Should We Use?," Econometric Reviews, Taylor & Francis Journals, vol. 23(4), pages 371-402.
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11. David E. Rapach & Mark E. Wohar, 2005. "Valuation ratios and long‐horizon stock price predictability," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(3), pages 327-344, March.
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15. Uz, Idil & Ketenci, Natalya, 2008. "Panel analysis of the monetary approach to exchange rates: Evidence from ten new EU members and Turkey," Emerging Markets Review, Elsevier, vol. 9(1), pages 57-69, March.
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17. Kilian, Lutz & Taylor, Mark P., 2003. "Why is it so difficult to beat the random walk forecast of exchange rates?," Journal of International Economics, Elsevier, vol. 60(1), pages 85-107, May.
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18. Ekpeno L. Effiong, 2014. "Exchange Rate Dynamics and Monetary Fundamentals: A Cointegrated SVAR Approach for Nigeria," Global Business Review, International Management Institute, vol. 15(2), pages 205-221, June.
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22. Kilian, Lutz & Taylor, Mark P., 2003. "Why is it so difficult to beat the random walk forecast of exchange rates?," Journal of International Economics, Elsevier, vol. 60(1), pages 85-107, May.
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24. Joakim Westerlund & Syed A. Basher, 2007. "Can panel data really improve the predictability of the monetary exchange rate model?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(5), pages 365-383.
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25. Lucio Sarno, 2003. "Nonlinear Exchange Rate Models: A Selective Overview," Rivista di Politica Economica, SIPI Spa, vol. 93(4), pages 3-46, July-Augu.
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