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The Economic Value of Fundamental and Technical Information in Emerging Currency Markets

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  • de Zwart, G.J.
  • Markwat, T.D.
  • Swinkels, L.A.P.
  • van Dijk, D.J.C.

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.

Suggested Citation

  • de Zwart, G.J. & Markwat, T.D. & Swinkels, L.A.P. & van Dijk, D.J.C., 2007. "The Economic Value of Fundamental and Technical Information in Emerging Currency Markets," ERIM Report Series Research in Management ERS-2007-096-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  • Handle: RePEc:ems:eureri:10891
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    Cited by:

    1. Christopher J. Neely & Paul A. Weller, 2011. "Technical analysis in the foreign exchange market," Working Papers 2011-001, Federal Reserve Bank of St. Louis.
    2. Carriero, A. & Kapetanios, G. & Marcellino, M., 2009. "Forecasting exchange rates with a large Bayesian VAR," International Journal of Forecasting, Elsevier, vol. 25(2), pages 400-417.
    3. Bubák, Vít & Kocenda, Evzen & Zikes, Filip, 2011. "Volatility transmission in emerging European foreign exchange markets," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2829-2841, November.
    4. Stephen Gilmore & Fumio Hayashi, 2011. "Emerging Market Currency Excess Returns," American Economic Journal: Macroeconomics, American Economic Association, vol. 3(4), pages 85-111, October.
    5. Mostafa, Mohamed M. & El-Masry, Ahmed A., 2016. "Oil price forecasting using gene expression programming and artificial neural networks," Economic Modelling, Elsevier, vol. 54(C), pages 40-53.
    6. Jiadong Tong & Zijun Wang & Jian Yang, 2016. "Information Flow Between Forward and Spot Markets: Evidence From the Chinese Renminbi," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(7), pages 695-718, July.
    7. Melvin, Michael & Prins, John & Shand, Duncan, 2013. "Forecasting Exchange Rates: an Investor Perspective," Handbook of Economic Forecasting, Elsevier.
    8. De Grauwe, Paul & Markiewicz, Agnieszka, 2013. "Learning to forecast the exchange rate: Two competing approaches," Journal of International Money and Finance, Elsevier, pages 42-76.
    9. Doskov, Nikolay & Swinkels, Laurens, 2015. "Empirical evidence on the currency carry trade, 1900–2012," Journal of International Money and Finance, Elsevier, vol. 51(C), pages 370-389.
    10. Conover, C. Mitchell & Jensen, Gerald R. & Johnson, Robert R. & Szakmary, Andrew C., 2017. "Emerging markets: Is the trend still your friend?," Global Finance Journal, Elsevier, vol. 32(C), pages 128-148.
    11. Kuang, P. & Schröder, M. & Wang, Q., 2014. "Illusory profitability of technical analysis in emerging foreign exchange markets," International Journal of Forecasting, Elsevier, pages 192-205.
    12. Dowling, Michael & Cummins, Mark & Lucey, Brian M., 2016. "Psychological barriers in oil futures markets," Energy Economics, Elsevier, vol. 53(C), pages 293-304.
    13. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
    14. 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.
    15. 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.
    16. Chiarella, Carl & He, Xue-Zhong & Zwinkels, Remco C.J., 2014. "Heterogeneous expectations in asset pricing: Empirical evidence from the S&P500," Journal of Economic Behavior & Organization, Elsevier, pages 1-16.
    17. Atilgan, Yigit & Demirtas, K. Ozgur & Simsek, Koray D., 2016. "Derivative markets in emerging economies: A survey," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 88-102.
    18. 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.
    19. 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.

    More about this item

    Keywords

    emerging markets; foreign exchange rates; heterogeneous agents; structural exchange rate models; technical trading;

    JEL classification:

    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • G3 - Financial Economics - - Corporate Finance and Governance
    • M - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics

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