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Order Flow and the Monetary Model of Exchange Rates: Evidence from a Novel Data Set
Authors:MENZIE D CHINN  MICHAEL J MOORE
Institution:1. Menzie D. Chinn is from the Robert M. La Follette School of Public Affairs;2. and Department of Economics, University of Wisconsin, 1180 Observatory Drive, Madison, WI 53706‐1393 (E‐mail: mchinn@lafollette.wisc.edu);3. Michael J. Moore is from Queens University School of Management, Queens University of Belfast, 25 University Square, Belfast BT7 1NN. Northern Ireland, United Kingdom (E‐mail: m.moore@qub.ac.uk).
Abstract:We propose an exchange rate model that is a hybrid of the conventional specification with monetary fundamentals and the Evans–Lyons microstructure approach. We estimate a model augmented with order flow variables, using a unique data set: almost 100 monthly observations on interdealer order flow on dollar/euro and dollar/yen. The augmented macroeconomic, or “hybrid,” model exhibits greater in‐sample stability and out of sample forecasting improvement vis‐à‐vis the basic macroeconomic and random walk specifications.
Keywords:D82  E41  F31  F47  exchange rates  monetary model  order flow  microstructure  forecasting performance
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