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The role of asymmetric information among investors in the foreign exchange market

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  • Esen Onur

    (Department of Economics, California State University, Sacramento 6000J Street, Sacramento, CA 95819-6082, USA)

Abstract

This paper posits asymmetric information as the missing link between the currency demands of investors and changes in the exchange rate. A theoretical model demonstrates that changes in the exchange rate and currency demand are positively correlated for well-informed investors and negatively correlated for less well-informed investors, results consistent with stylized facts from the empirical literature. These theoretical findings are supported empirically using a new data set from the Israeli foreign exchange market. The empirical analysis indicates that a one million dollar larger purchase than sales by well-informed financial investors induces an increase of 0.060 per cent in the Israeli Sheqel|Dollar exchange rate over a one month period. A similar net flow from less well-informed investors results in a 0.046 per cent decrease in the exchange rate. Copyright © 2008 John Wiley & Sons, Ltd.

Suggested Citation

  • Esen Onur, 2008. "The role of asymmetric information among investors in the foreign exchange market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 13(4), pages 368-385.
  • Handle: RePEc:ijf:ijfiec:v:13:y:2008:i:4:p:368-385
    DOI: 10.1002/ijfe.367
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    References listed on IDEAS

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    1. 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..
    2. Flood, Robert P. & Rose, Andrew K., 1995. "Fixing exchange rates A virtual quest for fundamentals," Journal of Monetary Economics, Elsevier, vol. 36(1), pages 3-37, August.
    3. Wu, Thomas, 2006. "Order Flow in the South: Anatomy of the Brazilian FX Market," Santa Cruz Center for International Economics, Working Paper Series qt1k2250wj, Center for International Economics, UC Santa Cruz.
    4. Bjonnes, Geir Hoidal & Rime, Dagfinn & Solheim, Haakon O.Aa., 2005. "Liquidity provision in the overnight foreign exchange market," Journal of International Money and Finance, Elsevier, vol. 24(2), pages 175-196, March.
    5. Jiang Wang, 1993. "A Model of Intertemporal Asset Prices Under Asymmetric Information," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(2), pages 249-282.
    6. 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.
    7. Carol L. Osler, 2006. "Macro lessons from microstructure," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 11(1), pages 55-80.
    8. Martin D. D. Evans & Richard K. Lyons, 2017. "Understanding Order Flow," World Scientific Book Chapters, in: Studies in Foreign Exchange Economics, chapter 13, pages 507-546, World Scientific Publishing Co. Pte. Ltd..
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    Cited by:

    1. Martin Evans and Dagfinn Rime, 2010. "Micro Approaches to foreign Exchange Determination," Working Papers gueconwpa~10-10-04, Georgetown University, Department of Economics.
    2. John A. Carlson & Christian M. Dahl & Carol L. Osler, 2008. "Short-run Exchange-rate Dynamics: Theory And Evidence," Working Papers 39, Brandeis University, Department of Economics and International Business School.
    3. 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.
    4. Onur, Esen, 2011. "How much you know matters: A note on the exchange rate disconnect puzzle," MPRA Paper 32772, University Library of Munich, Germany.
    5. Wu, Thomas, 2012. "Order flow in the South: Anatomy of the Brazilian FX market," The North American Journal of Economics and Finance, Elsevier, vol. 23(3), pages 310-324.

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