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Exchange-Rate Dark Matter

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  • Mr. Martin D Evans

Abstract

Dark matter accounts for 83 percent of the matter in the universe and plays a central role in cosmology modeling. This paper argues that an analogous form of dark matter plays a similarly important role in international macroeconomics. Exchange-rate dark matter is invisible, but its existence can be inferred from observations on real exchange rates and interest rates. I first show that dark matter is the dominant driver of short- and medium-term changes in real exchange rates for the G-7 countries; accounting for more than 90 percent of the variance at the five-year horizon. I then develop a model in which risk shocks account for dark matter's role as a driver of exchange-rate dynamics and other macro variables.

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  • Mr. Martin D Evans, 2012. "Exchange-Rate Dark Matter," IMF Working Papers 2012/066, International Monetary Fund.
  • Handle: RePEc:imf:imfwpa:2012/066
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    Cited by:

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    3. Martin D. D. Evans & Dagfinn Rime, 2017. "Order Flow Information and Spot Rate Dynamics," World Scientific Book Chapters, in: Studies in Foreign Exchange Economics, chapter 17, pages 725-776, World Scientific Publishing Co. Pte. Ltd..
    4. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
    5. Brissimis, Sophocles N. & Magginas, Nicholas S., 2006. "Forward-looking information in VAR models and the price puzzle," Journal of Monetary Economics, Elsevier, vol. 53(6), pages 1225-1234, September.
    6. Jaehun Chung & Yongmiao Hong, 2007. "Model-free evaluation of directional predictability in foreign exchange markets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(5), pages 855-889.
    7. Stephane Dees & M. Hashem Pesaran & L. Vanessa Smith & Ron P. Smith, 2010. "Supply, Demand and Monetary Policy Shocks in a Multi-Country New Keynesian Model," CESifo Working Paper Series 3081, CESifo.
    8. Brodbeck, Karl-Heinz, 2019. "Die Illusion der Identität und die Krise der Wissenschaften," Working Paper Series Ök-47, Cusanus Hochschule für Gesellschaftsgestaltung, Institut für Ökonomie.
    9. Charles Engel, 2016. "Exchange Rates, Interest Rates, and the Risk Premium," American Economic Review, American Economic Association, vol. 106(2), pages 436-474, February.
    10. Shiu-Sheng Chen, 2004. "Real exchange rate fluctuations and monetary shocks: a revisit," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 9(1), pages 25-32.
    11. Jesper Lindé & Marianne Nessén & Ulf Söderström, 2009. "Monetary policy in an estimated open-economy model with imperfect pass-through," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 14(4), pages 301-333.
    12. Jiang, Zhengyang, 2021. "US Fiscal cycle and the dollar," Journal of Monetary Economics, Elsevier, vol. 124(C), pages 91-106.
    13. Berg, Kimberly A. & Mark, Nelson C., 2015. "Third-country effects on the exchange rate," Journal of International Economics, Elsevier, vol. 96(2), pages 227-243.
    14. Gavin, William T. & Kemme, David M., 2009. "Using extraneous information to analyze monetary policy in transition economies," Journal of International Money and Finance, Elsevier, vol. 28(5), pages 868-879, September.
    15. Hossein Bastanzad & Pedram Davoudi & Hossein Tavakolian, 2018. "Foreign Exchange Rate Pricing at the Future Contract (Case of I.R. of Iran)," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 22(1), pages 253-293, Winter.
    16. Darmoul Mokhtar, 2006. "The impact of monetary policy signals on the intradaily Euro-dollar volatility," Cahiers de la Maison des Sciences Economiques bla06049, Université Panthéon-Sorbonne (Paris 1).
    17. K. Arin & Sam Jolly, 2005. "Trans-Tasman Transmission of Monetary Shocks: Evidence From a VAR Approach," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 33(3), pages 267-283, September.
    18. Jae Kim, 2005. "Investigating the advertising-sales relationship in the Lydia Pinkham data: a bootstrap approach," Applied Economics, Taylor & Francis Journals, vol. 37(3), pages 347-354.

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