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Liquidity provision in the overnight foreign exchange market

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of customers is weakly exogenous to <strong>the</strong> price. This is reasonable, given that we expect<br />

F<strong>in</strong>ancial customers to “push” <strong>the</strong> <strong>market</strong> utiliz<strong>in</strong>g private <strong>in</strong>formation. The fact that <strong>the</strong><br />

effect from <strong>the</strong>ir trad<strong>in</strong>g is positive and persistent is an <strong>in</strong>dication that <strong>the</strong>re <strong>in</strong>deed is an<br />

<strong>in</strong>formation effect. The trend enters significantly <strong>in</strong> <strong>the</strong> price equation for <strong>the</strong> F<strong>in</strong>ancial<br />

customers, but not for <strong>the</strong> Non-F<strong>in</strong>ancial (restricted to zero). Engle and Yoo (1991) suggest<br />

that <strong>the</strong> trend captures o<strong>the</strong>r unobservable variables. If <strong>the</strong> trad<strong>in</strong>g of <strong>the</strong> F<strong>in</strong>ancial<br />

customers are partly driven by <strong>in</strong>formation that has not yet reached <strong>the</strong> <strong>market</strong>, while<br />

<strong>the</strong> Non-F<strong>in</strong>ancial customers act as liquidity providers, we would expect that <strong>the</strong> trend<br />

should enter <strong>the</strong> price equation with <strong>the</strong> position of F<strong>in</strong>ancial customers but not <strong>in</strong> <strong>the</strong><br />

price equation of <strong>the</strong> Non-F<strong>in</strong>ancial customers. The <strong>in</strong>tuition for <strong>the</strong> weak exogeneity<br />

of <strong>the</strong> position of Non-F<strong>in</strong>ancial customers is that <strong>the</strong> banks “pick” price-quantity<br />

comb<strong>in</strong>ations along <strong>the</strong>ir supply curve. One can th<strong>in</strong>k of this as if Non-F<strong>in</strong>ancial customers<br />

placed a limit-order schedule <strong>in</strong> <strong>the</strong> <strong>market</strong> <strong>in</strong> <strong>the</strong> morn<strong>in</strong>g. Weak exogeneity<br />

allows us to run s<strong>in</strong>gle-equation error correction models with contemporaneous flow as<br />

an exogenous variable. We return to this below.<br />

4.2 Regress<strong>in</strong>g <strong>exchange</strong> rate changes on customers’ flows and changes<br />

<strong>in</strong> <strong>in</strong>terest rates<br />

Hav<strong>in</strong>g established that <strong>the</strong>re is a long-term relation between <strong>the</strong> net positions of customers<br />

(accumulated flow) and <strong>the</strong> <strong>exchange</strong> rate, we proceed to look at <strong>the</strong> relation<br />

between net flows (changes <strong>in</strong> net positions) and changes <strong>in</strong> <strong>the</strong> <strong>exchange</strong> rate. The<br />

co<strong>in</strong>tegration analysis established evidence of liquidity <strong>provision</strong> <strong>in</strong> <strong>the</strong> long run. By<br />

study<strong>in</strong>g short-run dynamics we can say someth<strong>in</strong>g about liquidity <strong>provision</strong> <strong>overnight</strong>.<br />

In all regressions, we <strong>in</strong>clude <strong>the</strong> error correction term from <strong>the</strong> co<strong>in</strong>tegration anal-<br />

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