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Can Fluctuations in the Consumption-Wealth Ratio Help to Predict Exchange Rates?

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Listed:
  • Jorge Selaive

    (Central Bank of Chile)

  • Vicente Tuesta

    (New york University & Central Bank of Perú)

Abstract

It is well documented that macroeconomic fundamentals are little help in predicting changes in the nominal exchange rates compared to the predictions made by a simple random walk. Letta and Ludvigson (2001) find that fluctuations in the common long-term trend in consumption, asset wealth, and labor income (herby, consumption-wealth ratio)is a strong predictor of the excess returns. In this paper, we study the role of the consumption-wealth ratio in predicting the change in the nominal exchange rate of a large set of countries. We find evidence that fluctuations in the consumption-wealth ratio help to predict in-sample all the currencies. in terms of out-of-sample forecasts, our results suggest that the consumption-wealth ratio may play a significant role predicting the Canadian dollar at all horizons and at short-intermediate horizons for some currencies.

Suggested Citation

  • Jorge Selaive & Vicente Tuesta, 2004. "Can Fluctuations in the Consumption-Wealth Ratio Help to Predict Exchange Rates?," International Finance 0404014, EconWPA.
  • Handle: RePEc:wpa:wuwpif:0404014 Note: Type of Document - pdf; pages: 21
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    References listed on IDEAS

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    1. Duffee, Gregory R. & Zhou, Chunsheng, 2001. "Credit derivatives in banking: Useful tools for managing risk?," Journal of Monetary Economics, Elsevier, pages 25-54.
    2. Jorge Selaive & Vicente Tuesta, 2003. "Net foreign assets and imperfect pass-through: the consumption real exchange rate anomaly," International Finance Discussion Papers 764, Board of Governors of the Federal Reserve System (U.S.).
    3. Clarida, Richard H. & Sarno, Lucio & Taylor, Mark P. & Valente, Giorgio, 2003. "The out-of-sample success of term structure models as exchange rate predictors: a step beyond," Journal of International Economics, Elsevier, pages 61-83.
    4. Kilian, Lutz, 1999. "Exchange Rates and Monetary Fundamentals: What Do We Learn from Long-Horizon Regressions?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 491-510, Sept.-Oct.
    5. Lettau, Martin & Ludvigson, Sydney, 2002. "Time-varying risk premia and the cost of capital: An alternative implication of the Q theory of investment," Journal of Monetary Economics, Elsevier, pages 31-66.
    6. McCracken, Michael W & Sapp, Stephen G, 2005. "Evaluating the Predictability of Exchange Rates Using Long-Horizon Regressions: Mind Your p's and q's!," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(3), pages 473-494, June.
    7. Alan J. Auerbach & Maurice Obstfeld, 2005. "The Case for Open-Market Purchases in a Liquidity Trap," American Economic Review, American Economic Association, pages 110-137.
    8. Clark, Todd E. & McCracken, Michael W., 2001. "Tests of equal forecast accuracy and encompassing for nested models," Journal of Econometrics, Elsevier, pages 85-110.
    9. Goncalves, Silvia & Kilian, Lutz, 2004. "Bootstrapping autoregressions with conditional heteroskedasticity of unknown form," Journal of Econometrics, Elsevier, pages 89-120.
    10. Tim Bollerslev & Robert J. Hodrick, 1992. "Financial Market Efficiency Tests," NBER Working Papers 4108, National Bureau of Economic Research, Inc.
    11. Meese, Richard, 1990. "Currency Fluctuations in the Post-Bretton Woods Era," Journal of Economic Perspectives, American Economic Association, pages 117-134.
    12. Lutz Kilian & Mark P. Taylor, 2001. "Why Is It So Difficult to Beat the Random Walk Forecast of Exchange Rates?," Working Papers 464, Research Seminar in International Economics, University of Michigan.
    13. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    14. Jeremy Berkowitz & Lorenzo Giorgianni, 2001. "Long-Horizon Exchange Rate Predictability?," The Review of Economics and Statistics, MIT Press, pages 81-91.
    15. Andrews, Donald W K, 1991. "Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation," Econometrica, Econometric Society, pages 817-858.
    16. Engel, Charles & West, Kenneth D., 2003. "Exchange rates and fundamentals," Working Paper Series 248, European Central Bank.
    17. Jacques Miniane & John H. Rogers, 2007. "Capital Controls and the International Transmission of U.S. Money Shocks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(5), pages 1003-1035, August.
    18. Obstfeld, M., 1998. "Risk and Exchange Rate," Papers 193, Princeton, Woodrow Wilson School - Public and International Affairs.
    19. Frankel, Jeffrey A, 1979. "On the Mark: A Theory of Floating Exchange Rates Based on Real Interest Differentials," American Economic Review, American Economic Association, pages 610-622.
    20. Todd E. Clark & Michael W. McCracken, 2002. "Forecast-based model selection in the presence of structural breaks," Research Working Paper RWP 02-05, Federal Reserve Bank of Kansas City.
    21. Charles Engel & Kenneth D. West, 2005. "Exchange Rates and Fundamentals," Journal of Political Economy, University of Chicago Press, vol. 113(3), pages 485-517, June.
    22. John Y. Campbell & N. Gregory Mankiw, 1989. "Consumption, Income and Interest Rates: Reinterpreting the Time Series Evidence," NBER Chapters,in: NBER Macroeconomics Annual 1989, Volume 4, pages 185-246 National Bureau of Economic Research, Inc.
    23. Martin Lettau, 2001. "Consumption, Aggregate Wealth, and Expected Stock Returns," Journal of Finance, American Finance Association, vol. 56(3), pages 815-849, June.
    24. Martin D.D. Evans & Richard K. Lyons, 2017. "Order Flow and Exchange Rate Dynamics," World Scientific Book Chapters,in: Studies in Foreign Exchange Economics, chapter 6, pages 247-290 World Scientific Publishing Co. Pte. Ltd..
    25. Jorge Selaive & Vicente Tuesta, 2003. "Net Foreign Assets And Imperfect Financial Integration: An Empirical Approach," Working Papers Central Bank of Chile 252, Central Bank of Chile.
    26. 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, pages 85-107.
    27. Lettau, Martin & Ludvigson, Sydney, 2002. "Time-varying risk premia and the cost of capital: An alternative implication of the Q theory of investment," Journal of Monetary Economics, Elsevier, pages 31-66.
    28. Meese, Richard A. & Rogoff, Kenneth, 1983. "Empirical exchange rate models of the seventies : Do they fit out of sample?," Journal of International Economics, Elsevier, pages 3-24.
    29. Atsushi Inoue & Lutz Kilian, 2005. "In-Sample or Out-of-Sample Tests of Predictability: Which One Should We Use?," Econometric Reviews, Taylor & Francis Journals, pages 371-402.
    30. Mark, Nelson C. & Sul, Donggyu, 2001. "Nominal exchange rates and monetary fundamentals: Evidence from a small post-Bretton woods panel," Journal of International Economics, Elsevier, pages 29-52.
    31. Kirby, Chris, 1997. "Measuring the Predictable Variation in Stock and Bond Returns," Review of Financial Studies, Society for Financial Studies, pages 579-630.
    32. Lutz Kilian & Mark P. Taylor, 2001. "Why is it so difficult to beat the Random Walk Forecast of Exchange Rates?," Tinbergen Institute Discussion Papers 01-031/4, Tinbergen Institute.
    33. Nelson, Charles R & Kim, Myung J, 1993. " Predictable Stock Returns: The Role of Small Sample Bias," Journal of Finance, American Finance Association, vol. 48(2), pages 641-661, June.
    34. Flood, Robert P & Hodrick, Robert J, 1990. "On Testing for Speculative Bubbles," Journal of Economic Perspectives, American Economic Association, pages 85-101.
    35. Wright, Jonathan H., 2008. "Bayesian Model Averaging and exchange rate forecasts," Journal of Econometrics, Elsevier, pages 329-341.
    36. Paul R. Milgrom, 1981. "Good News and Bad News: Representation Theorems and Applications," Bell Journal of Economics, The RAND Corporation, vol. 12(2), pages 380-391, Autumn.
    37. Faust, Jon & Rogers, John H. & H. Wright, Jonathan, 2003. "Exchange rate forecasting: the errors we've really made," Journal of International Economics, Elsevier, pages 35-59.
    38. Kilian, Lutz & Taylor, Mark P., 2001. "Why is it so difficult to beat the random walk forecast of exchange rates?," Working Paper Series 0088, European Central Bank.
    39. Jon Faust & John H. Rogers & Jonathan H. Wright, 2001. "Exchange rate forecasting: the errors we've really made," International Finance Discussion Papers 714, Board of Governors of the Federal Reserve System (U.S.).
    40. 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, pages 85-107.
    41. Mark, Nelson C, 1995. "Exchange Rates and Fundamentals: Evidence on Long-Horizon Predictability," American Economic Review, American Economic Association, pages 201-218.
    42. Atsushi Inoue & Lutz Kilian, 2005. "In-Sample or Out-of-Sample Tests of Predictability: Which One Should We Use?," Econometric Reviews, Taylor & Francis Journals, pages 371-402.
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    Cited by:

    1. Pablo Pincheira & Jorge Selaive, 2011. "External imbalance, valuation adjustments and real Exchange rate: evidence of predictability in an emerging economy," Revista de Analisis Economico – Economic Analysis Review, Ilades-Georgetown University, Universidad Alberto Hurtado/School of Economics and Bussines, vol. 26(1), pages 107-125, Junio.

    More about this item

    Keywords

    Exchange Rates; Consumption-Wealth Ratio; PRedictability;

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • F31 - International Economics - - International Finance - - - Foreign Exchange

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