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Feedback trading in exchange-rate markets: Evidence from within and across economic blocks

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  • Maria Aguirre
  • Reza Saidi

Abstract

This paper examines the pattern of autocorrelation of exchange rates in the EU, ASEAN, and NAFTA. We find no feedback trading within blocks among developed financial markets’ currencies, but it exists for less developed financial markets. Across blocks, no feedback trading is found. ASEAN currencies are an exception on both counts. When present, feedback trading is a destabilizing factor, and it takes place during rising volatility. Finally, the prevalence of negative feedback trading suggests that, in spite of the recent addition of new players into the market, such as mutual funds and hedge funds, the foreign exchange market is mainly influenced by informed players and/or central banks which intervene to protect their currencies. Copyright Springer 1999

Suggested Citation

  • Maria Aguirre & Reza Saidi, 1999. "Feedback trading in exchange-rate markets: Evidence from within and across economic blocks," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 23(1), pages 1-14, March.
    • Handle: RePEc:spr:jecfin:v:23:y:1999:i:1:p:1-14
    DOI: 10.1007/BF02752681
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    References listed on IDEAS

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    1. De Long, J Bradford, et al, 1990. "Positive Feedback Investment Strategies and Destabilizing Rational Speculation," Journal of Finance, American Finance Association, vol. 45(2), pages 379-395, June.
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    6. Kenneth A. Froot & Jeffrey A. Frankel, 1989. "Forward Discount Bias: Is it an Exchange Risk Premium?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 104(1), pages 139-161.
    7. Shinji Takagi, 1988. "On the Statistical Properties of Floating Exchange Rates: A Reassessment of Recent Experience and Literature," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 6(1), pages 61-91, May.
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    Cited by:

    1. McKenzie, Michael D. & Faff, Robert W., 2005. "Modeling conditional return autocorrelation," International Review of Financial Analysis, Elsevier, vol. 14(1), pages 23-42.
    2. Fotini Economou & Konstantinos Gavriilidis & Bartosz Gebka & Vasileios Kallinterakis, 2022. "Feedback trading: a review of theory and empirical evidence," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 15(4), pages 429-476, February.
    3. Nikiforos Laopodis, 2008. "Noise trading and autocorrelation interactions in the foreign exchange market: Evidence from developed and emerging economies," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 32(3), pages 271-293, July.
    4. Kallinterakis, Vasileios & Liu, Fei & Pantelous, Athanasios A. & Shao, Jia, 2020. "Pricing inefficiencies and feedback trading: Evidence from country ETFs," International Review of Financial Analysis, Elsevier, vol. 70(C).
    5. Laopodis, Nikiforos T., 2005. "Feedback trading and autocorrelation interactions in the foreign exchange market: Further evidence," Economic Modelling, Elsevier, vol. 22(5), pages 811-827, September.
    6. Charteris, Ailie & Kallinterakis, Vasileios, 2021. "Feedback trading in retail-dominated assets: Evidence from the gold bullion coin market," International Review of Financial Analysis, Elsevier, vol. 75(C).

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