Order Flow Information and Spot Rate Dynamics
Martin Evans () and
Dagfinn Rime ()
No gueconwpa~15-15-02, Working Papers from Georgetown University, Department of Economics
This paper examines why order flows are empirically important drivers of spot exchange rate dynamics. We consider a decomposition for the depreciation rate that must hold in any model and show that order flows will appear as important proximate drivers when they convey significant incremental information about future interest rate differentials, risk premiums and/or long-run exchange rate levels (i.e., information that cannot be inferred from publicly observed variables). We estimate the importance of these incremental information flows for the EURNOK spot exchange rate using eight years of high- quality, disaggregated, end-user order flow data collected by the Norges Bank.
Keywords: exchange rate dynamics; microstructure; order flow. (search for similar items in EconPapers)
JEL-codes: F3 F4 G1 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-mst and nep-opm
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Chapter: Order Flow Information and Spot Rate Dynamics (2017)
Journal Article: Order flow information and spot rate dynamics (2016)
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Persistent link: https://EconPapers.repec.org/RePEc:geo:guwopa:gueconwpa~15-15-02
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Roger Lagunoff Professor of Economics Georgetown University Department of Economics Washington, DC 20057-1036
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