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Exchange Rate Economics: Theories and Evidence

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366 Market microstructure approach<br />

the latter accounts for the majority of order flow’s impact effect,<strong>and</strong> this is seen as<br />

resurrecting the portfolio-balance approach. They also show that trades have the<br />

most price impact when the flow of macroeconomic news is strong. This is also<br />

shown to apply to intervention trades as well,as long as they are sterilised,secret<br />

<strong>and</strong> provide no policy signal.<br />

In an attempt to underst<strong>and</strong> if it is information flows – <strong>and</strong> particularly the<br />

split between private <strong>and</strong> public information – that drive order flow,Evans <strong>and</strong><br />

Lyons (2003) analyse the effect of macroeconomic news on order flow (which is<br />

distinct from the question of whether volume is determined by news). The effect<br />

of news on exchange rates is considered in Chapter 15. The Evans <strong>and</strong> Lyons<br />

paper differs from that body of work by considering a broader set of macro-news<br />

<strong>and</strong> by using an approach based on state-dependent heteroscedasticty,rather than<br />

an event-study approach. This approach follows Rigobon <strong>and</strong> Saack (2003) <strong>and</strong><br />

involves using generalised method of moments (GMM) to identify the relative<br />

importance of the direct <strong>and</strong> indirect effects from news by allowing the variances<br />

of shocks to order flow <strong>and</strong> price to depend separately on the rate of news. The<br />

basic hypothesis in the paper is that news affects exchange rates through order<br />

flow because market participants draw different inferences (i.e. are heterogeneous)<br />

from common macro-data. Both daily <strong>and</strong> intra-daily data on the exchange rate<br />

change <strong>and</strong> order flow are drawn from the Reuters D2000–1 dealing system for<br />

the DM–USD over the period 1 May–31 August 1996. As we have seen,this data<br />

is time-stamped tick-by-tick data <strong>and</strong> involves a full 24-hour trading day. The data<br />

on news is extracted from the Reuter’s Money Market Headline News screen.<br />

The model of Evans <strong>and</strong> Lyons (2003) allows for three sources of exchange<br />

rate variation. The first is the st<strong>and</strong>ard effect of public news,as captured by the<br />

models in Chapters 4 <strong>and</strong> 5,in which news impacts onto price immediately <strong>and</strong><br />

directly,with no role for order flow. The second source is the indirect effect of<br />

news operating on the price via order flow,while the third source of exchange<br />

rate variation is due to order flow unrelated to news arrival. Evans <strong>and</strong> Lyons<br />

find that while all three sources of price variation are statistically significant but<br />

that two-thirds of the price effect from macro-news comes via order flow while the<br />

remaining third comes from the st<strong>and</strong>ard direct effect. They also report evidence<br />

which is indicative of uni-directional causality between news <strong>and</strong> exchange rates.<br />

Cao et al. (2003) set about answering the following question: in a market,such as<br />

the foreign exchange market,with symmetric information about fundamentals,can<br />

information-based trade still arise? In particular,in such a market does inventory<br />

information impact on price? Their answer to this question is a resounding ‘yes’.<br />

Their analysis clarifies that price effects arising from non-fundamentals trades are<br />

of three types: a transitory,idiosynchratic,effect which is the so-called inventory<br />

effect from microstructure theory; a transitory effect common to all market makers;<br />

<strong>and</strong> a permanent effect which is common to all traders. Using the intra-daily<br />

data from the Reuters D2000–1 dealing system for the DM–USD they show that<br />

inventory information has both transitory <strong>and</strong> permanent price effects. In particular,a<br />

$1 billion positive shock to inter-dealer order flow permanently increases the<br />

DM–USD by 0.25 to 0.45 of a pfenning. These permanent effects are also shown

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