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Private Information and a Macro Model of Exchange Rates: Evidence from a Novel Data Set

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  • Menzie D. Chinn
  • Michael J. Moore

Abstract

We propose an exchange rate model which is a hybrid of the conventional specification with monetary fundamentals and the Evans-Lyons microstructure approach. It argues that the failure of the monetary model is principally due to private preference shocks which render the demand for money unstable. These shocks to liquidity preference are revealed through order flow. We estimate a model augmented with order flow variables, using a unique data set: almost 100 monthly observations on inter-dealer order flow on dollar/euro and dollar/yen. The augmented macroeconomic, or "hybrid", model exhibits out of sample forecasting improvement over the basic macroeconomic and random walk specifications.

Suggested Citation

  • Menzie D. Chinn & Michael J. Moore, 2008. "Private Information and a Macro Model of Exchange Rates: Evidence from a Novel Data Set," NBER Working Papers 14175, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:14175
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    Cited by:

    1. Rime, Dagfinn & Sarno, Lucio & Sojli, Elvira, 2010. "Exchange rate forecasting, order flow and macroeconomic information," Journal of International Economics, Elsevier, vol. 80(1), pages 72-88, January.
    2. Dal Bianco, Marcos & Camacho, Maximo & Perez Quiros, Gabriel, 2012. "Short-run forecasting of the euro-dollar exchange rate with economic fundamentals," Journal of International Money and Finance, Elsevier, vol. 31(2), pages 377-396.
    3. Vitale, Paolo & Rime, Dagfinn & Breedon, Francis, 2010. "A Transaction Data Study of the Forward Bias Puzzle," CEPR Discussion Papers 7791, C.E.P.R. Discussion Papers.
    4. Jacob Gyntelberg & Mico Loretan & Tientip Subhanij & Eric Chan, 2010. "Private information, stock markets, and exchange rates," BIS Papers chapters, in: Bank for International Settlements (ed.), The international financial crisis and policy challenges in Asia and the Pacific, volume 52, pages 186-210, Bank for International Settlements.
    5. 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.
    6. Francis Breedon & Angelo Ranaldo, 2013. "Intraday Patterns in FX Returns and Order Flow," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(5), pages 953-965, August.
    7. Martin D. D. Evans, 2018. "FX Trading and Exchange Rate Disconnect Puzzle," Working Papers gueconwpa~18-18-21, Georgetown University, Department of Economics.
    8. 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.

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    More about this item

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications

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