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Exchange rates and information about future fundamentals

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  • Gholampour, Vahid

Abstract

Asset prices reflect aggregate private information of agents about future macroeconomic fundamentals. This paper uses a dispersed information model as the theoretical framework and empirically measures the informativeness of exchange rates for traditional macroeconomic variables. Exchange rate movements are related to observed macro fundamental shocks, future fundamentals, and aggregate noise shocks. The measure of informativeness is defined as the contribution of future fundamentals to the variance of the adjusted exchange rate, which is a function of future fundamental shocks and noise trade. Baseline results show that future fundamentals account for 11 percent of the variance of adjusted exchange rates.

Suggested Citation

  • Gholampour, Vahid, 2022. "Exchange rates and information about future fundamentals," Journal of International Money and Finance, Elsevier, vol. 127(C).
  • Handle: RePEc:eee:jimfin:v:127:y:2022:i:c:s0261560622000833
    DOI: 10.1016/j.jimonfin.2022.102680
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    1. King, Michael & Sarno, Lucio & Sojli, Elvira, 2010. "Timing exchange rates using order flow: The case of the Loonie," Journal of Banking & Finance, Elsevier, vol. 34(12), pages 2917-2928, December.
    2. 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..
    3. Martin D. D. Evans & Richard K. Lyons, 2017. "Meese-Rogoff Redux: Micro-Based Exchange-Rate Forecasting," World Scientific Book Chapters, in: Studies in Foreign Exchange Economics, chapter 11, pages 457-475, World Scientific Publishing Co. Pte. Ltd..
    4. Òscar Jordà & Moritz Schularick & Alan M. Taylor, 2017. "Macrofinancial History and the New Business Cycle Facts," NBER Macroeconomics Annual, University of Chicago Press, vol. 31(1), pages 213-263.
    5. 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.
    6. Barbara Rossi, 2013. "Exchange Rate Predictability," Journal of Economic Literature, American Economic Association, vol. 51(4), pages 1063-1119, December.
    7. Laura L. Veldkamp, 2011. "Information Choice in Macroeconomics and Finance," Economics Books, Princeton University Press, edition 1, number 9621.
    8. Bai, Jennie & Philippon, Thomas & Savov, Alexi, 2016. "Have financial markets become more informative?," Journal of Financial Economics, Elsevier, vol. 122(3), pages 625-654.
    9. Engel, Charles & Hamilton, James D, 1990. "Long Swings in the Dollar: Are They in the Data and Do Markets Know It?," American Economic Review, American Economic Association, vol. 80(4), pages 689-713, September.
    10. MacDonald, Ronald & Taylor, Mark P., 1994. "The monetary model of the exchange rate: long-run relationships, short-run dynamics and how to beat a random walk," Journal of International Money and Finance, Elsevier, vol. 13(3), pages 276-290, June.
    11. Philippe Bacchetta & Eric Van Wincoop, 2006. "Can Information Heterogeneity Explain the Exchange Rate Determination Puzzle?," American Economic Review, American Economic Association, vol. 96(3), pages 552-576, June.
    12. 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, vol. 53(1), pages 29-52, February.
    13. Berger, David W. & Chaboud, Alain P. & Chernenko, Sergey V. & Howorka, Edward & Wright, Jonathan H., 2008. "Order flow and exchange rate dynamics in electronic brokerage system data," Journal of International Economics, Elsevier, vol. 75(1), pages 93-109, May.
    14. Clark, Todd E. & West, Kenneth D., 2006. "Using out-of-sample mean squared prediction errors to test the martingale difference hypothesis," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 155-186.
    15. Philippe Bacchetta & Eric van Wincoop & Toni Beutler, 2010. "Can Parameter Instability Explain the Meese-Rogoff Puzzle?," NBER International Seminar on Macroeconomics, University of Chicago Press, vol. 6(1), pages 125-173.
    16. Lucio Sarno & Maik Schmeling, 2014. "Which Fundamentals Drive Exchange Rates? A Cross‐Sectional Perspective," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(2-3), pages 267-292, March.
    17. Cerra, Valerie & Saxena, Sweta Chaman, 2010. "The monetary model strikes back: Evidence from the world," Journal of International Economics, Elsevier, vol. 81(2), pages 184-196, July.
    18. Rossi, Barbara, 2006. "Are Exchange Rates Really Random Walks? Some Evidence Robust To Parameter Instability," Macroeconomic Dynamics, Cambridge University Press, vol. 10(1), pages 20-38, February.
    19. Gholampour, Vahid & van Wincoop, Eric, 2019. "Exchange rate disconnect and private information: What can we learn from Euro-Dollar tweets?," Journal of International Economics, Elsevier, vol. 119(C), pages 111-132.
    20. Eduardo Dávila & Cecilia Parlatore, 2018. "Identifying Price Informativeness," NBER Working Papers 25210, National Bureau of Economic Research, Inc.
    21. Benjamin Born & Jörg Breitung, 2016. "Testing for Serial Correlation in Fixed-Effects Panel Data Models," Econometric Reviews, Taylor & Francis Journals, vol. 35(7), pages 1290-1316, August.
    22. 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.
    23. Lucio Sarno & Elvira Sojli, 2009. "The Feeble Link between Exchange Rates and Fundamentals: Can We Blame the Discount Factor?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(2‐3), pages 437-442, March.
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    1. Kyriazis, Nikolaos & Corbet, Shaen, 2024. "The role of international currency spillovers in shaping exchange rate dynamics in Latin America," The Quarterly Review of Economics and Finance, Elsevier, vol. 94(C), pages 1-10.

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    More about this item

    Keywords

    Exchange rate; Macroeconomic fundamentals; Private information;
    All these keywords.

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange

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