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Local information in foreign exchange markets

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  • Menkhoff, Lukas
  • Schmeling, Maik

Abstract

This study shows that order flow in a foreign exchange market appears to have permanent price impact only if it comes from certain regions. These regions are - as predicted by the local information hypothesis - centers of political and financial decision making. It is revealing that orders from other regions only show a very short-lived but no permanent price impact. Local information is so important that it carries over from the usually considered market orders to aggressively priced limit orders too. The finding is robust to common news shocks, to the consideration of feedback trading and to further controls.

Suggested Citation

  • Menkhoff, Lukas & Schmeling, Maik, 2008. "Local information in foreign exchange markets," Journal of International Money and Finance, Elsevier, vol. 27(8), pages 1383-1406, December.
  • Handle: RePEc:eee:jimfin:v:27:y:2008:i:8:p:1383-1406
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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. Ramazan Gençay & Nikola Gradojevic & Richard Olsen & Faruk Selçuk, 2015. "Informed traders’ arrival in foreign exchange markets: Does geography matter?," Empirical Economics, Springer, pages 1431-1462.
    3. Menkhoff, Lukas & Osler, Carol L. & Schmeling, Maik, 2010. "Limit-order submission strategies under asymmetric information," Journal of Banking & Finance, Elsevier, vol. 34(11), pages 2665-2677, November.
    4. Osler, Carol L. & Mende, Alexander & Menkhoff, Lukas, 2011. "Price discovery in currency markets," Journal of International Money and Finance, Elsevier, vol. 30(8), pages 1696-1718.
    5. Menkhoff, Lukas & Schmeling, Maik, 2010. "Whose trades convey information? Evidence from a cross-section of traders," Journal of Financial Markets, Elsevier, vol. 13(1), pages 101-128, February.
    6. Sandro C. Andrade & Emanuel Kohlscheen, 2010. "Pessimistic Foreign Investors and Turmoil in Emerging Markets: the case of Brazil in 2002," Working Papers Series 211, Central Bank of Brazil, Research Department.
    7. Michael Melvin & Lukas Menkhoff & Maik Schmeling, 2008. "Automating Exchange Rate Target Zones: Intervention via an Electronic Limit Order Book," CESifo Working Paper Series 2221, CESifo Group Munich.
    8. Menkhoff, Lukas & Schmeling, Maik, 2010. "Trader see, trader do: How do (small) FX traders react to large counterparties' trades?," Journal of International Money and Finance, Elsevier, vol. 29(7), pages 1283-1302, November.
    9. 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.
    10. King, Michael R. & Osler, Carol L. & Rime, Dagfinn, 2013. "The market microstructure approach to foreign exchange: Looking back and looking forward," Journal of International Money and Finance, Elsevier, vol. 38(C), pages 95-119.
    11. Melvin, Michael & Menkhoff, Lukas & Schmeling, Maik, 2009. "Exchange rate management in emerging markets: Intervention via an electronic limit order book," Journal of International Economics, Elsevier, vol. 79(1), pages 54-63, September.
    12. Piccotti, Louis R., 2016. "Pricing errors and the geography of trade in the foreign exchange market," Journal of Financial Markets, Elsevier, vol. 28(C), pages 46-69.
    13. Gau, Yin-Feng & Wu, Zhen-Xing, 2014. "Order choices under information asymmetry in foreign exchange markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 30(C), pages 106-118.
    14. repec:eee:jimfin:v:79:y:2017:i:c:p:232-254 is not listed on IDEAS
    15. Ding, Liang & Hiltrop, Jonas, 2010. "The electronic trading systems and bid-ask spreads in the foreign exchange market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 20(4), pages 323-345, October.

    More about this item

    Keywords

    Local information hypothesis Price impact Limit orders Informed traders;

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

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