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Exchange Rate Economics: Theories and Evidence

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304 Target zone models<br />

for the DM–lira,Smith <strong>and</strong> Spencer find evidence against the target zone model<br />

in the sense that the simulated moments did not match the observed moments<br />

(in particular,the model predicted greater skewness <strong>and</strong> kurtosis in exchange rate<br />

levels <strong>and</strong> significantly less kurtosis). Other applications of the MSM estimator to<br />

target zone exchange rates are Koedijk et al. (1992),who find evidence against the<br />

target zone model for a number of currencies,<strong>and</strong> Lindberg <strong>and</strong> Soderlind (1991)<br />

who find evidence in favour of the model.<br />

12.2 Extensions of the base-line target zone model<br />

As we have seen,the base-line model does not fare very well for the ERM target<br />

zone experience. It is perhaps not surprising therefore that a number of modifications<br />

have been proposed to the basic Krugman model in order to make it better<br />

suited to explaining exchange rate behaviour during this period.<br />

12.2.1 Credibility issues<br />

Perhaps the most obvious extension is that which addresses the evident lack of<br />

credibility of the ERM target zone experience. Bertola <strong>and</strong> Svensson (1993) propose<br />

the following modification to allow for a lack of credibility. First,the central<br />

parity, c,is assumed to jump at the time of the realignment <strong>and</strong> stays constant<br />

between realignments <strong>and</strong>,second,investors are assumed to be uncertain about<br />

the timing <strong>and</strong> size of realignments. Consider (12.23) again:<br />

E t [ds t ]/dt = E t [dc t ]/dt + E t [dx t ]/dt,(12.28)<br />

where E[dc]/dt is now a product of two factors: the probability of realignment <strong>and</strong><br />

the expected size of realignment. If it is assumed that the rate of realignment is<br />

exogenous <strong>and</strong> does not depend directly on the exchange rate,then on subtracting<br />

c t from both sides of (12.1) <strong>and</strong> on using (12.28) we have:<br />

where<br />

x t = h t + α E tdx t<br />

,(12.29)<br />

dt<br />

h t ≡ f t − c t + α E tdc t<br />

. (12.30)<br />

dt<br />

The first upshot of this modified version of the model is that any relationship<br />

between the interest differential <strong>and</strong> the exchange rate within the b<strong>and</strong> is possible<br />

depending on how the expected rate of realignment fluctuates over time <strong>and</strong> how<br />

it is correlated with the exchange rate. Second,new linear exchange rate function<br />

is now defined for x, h <strong>and</strong> the expected rate of realignment in the b<strong>and</strong> instead<br />

of s, f <strong>and</strong> the expected total change in the exchange rate,as in the original<br />

model. These two relationships are formally the same <strong>and</strong> if it is further assumed<br />

that E t dc t /dt follows a Brownian motion process the new exchange rate function

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