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The economic value of fundamental and technical information in emerging currency markets

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  • de Zwart, Gerben
  • Markwat, Thijs
  • Swinkels, Laurens
  • van Dijk, Dick

Abstract

We measure the economic value of information derived from macroeconomic variables and from technical trading rules for emerging markets currency investments. Our analysis is based on a sample of 21 emerging markets with a floating exchange rate regime over the period 1997-2007 and explicitly accounts for trading restrictions on foreign capital movements by using non-deliverable forward data. We document that both types of information can be exploited to implement profitable trading strategies. In line with evidence from surveys of foreign exchange professionals concerning the use of fundamental and technical analysis, we find that combining the two types of information improves the risk-adjusted performance of the investment strategies.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of International Money and Finance.

Volume (Year): 28 (2009)
Issue (Month): 4 (June)
Pages: 581-604

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Handle: RePEc:eee:jimfin:v:28:y:2009:i:4:p:581-604

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Web page: http://www.elsevier.com/locate/inca/30443

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Keywords: Emerging markets Foreign exchange rates Structural exchange rate models Technical trading Heterogeneous agents;

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Citations

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Cited by:
  1. Kuang, P. & Schröder, M. & Wang, Q., 2014. "Illusory profitability of technical analysis in emerging foreign exchange markets," International Journal of Forecasting, Elsevier, vol. 30(2), pages 192-205.
  2. Tajaddini, Reza & Crack, Timothy Falcon, 2012. "Do momentum-based trading strategies work in emerging currency markets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(3), pages 521-537.
  3. Neely, Christopher J. & Weller, Paul A., 2013. "Lessons from the evolution of foreign exchange trading strategies," Journal of Banking & Finance, Elsevier, vol. 37(10), pages 3783-3798.
  4. Stephen Gilmore & Fumio Hayashi, 2008. "Emerging Market Currency Excess Returns," NBER Working Papers 14528, National Bureau of Economic Research, Inc.
  5. Christopher J. Neely & Paul A. Weller, 2011. "Technical analysis in the foreign exchange market," Working Papers 2011-001, Federal Reserve Bank of St. Louis.
  6. Vít Bubák & Evžen Kocenda & Filip Zikes, 2010. "Volatility Transmission in Emerging European Foreign Exchange Markets," CESifo Working Paper Series 3063, CESifo Group Munich.
  7. Michael Melvin & John Prins & Duncan Shand, 2013. "Forecasting Exchange Rates: An Investor Perspective," CESifo Working Paper Series 4238, CESifo Group Munich.
  8. Andrea Carriero & George Kapetanios & Massimiliano Marcellino, 2008. "Forecasting Exchange Rates with a Large Bayesian VAR," Working Papers 634, Queen Mary, University of London, School of Economics and Finance.
  9. Doukas, John A. & Zhang, Hao, 2013. "The performance of NDF carry trades," Journal of International Money and Finance, Elsevier, vol. 36(C), pages 172-190.
  10. Carl Chiarella & Xue-Zhong He & Remco C.J. Zwinkels, 2014. "Heterogeneous Expectations in Asset Pricing:Empirical Evidence from the S&P500," Research Paper Series 344, Quantitative Finance Research Centre, University of Technology, Sydney.
  11. de Jong, Eelke & Verschoor, Willem F.C. & Zwinkels, Remco C.J., 2010. "Heterogeneity of agents and exchange rate dynamics: Evidence from the EMS," Journal of International Money and Finance, Elsevier, vol. 29(8), pages 1652-1669, December.

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