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Exchange Rate Economics: Theories and Evidence

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13.2.3 Speculative index approaches<br />

Speculative attack models <strong>and</strong> contagion 333<br />

Most other empirical studies of speculative attack models focus on speculative<br />

indices. For example,Eichengreen,Rose <strong>and</strong> Wyplosz (1995) [hereafter ERW]<br />

use a panel of 22 OECD countries to analyse the ERM crises. They develop a<br />

speculative pressure index along the lines of Girton <strong>and</strong> Roper’s measure of external<br />

pressure. In particular,they construct a series emp which is the weighted average<br />

of exchange rate <strong>and</strong> interest rate changes,<strong>and</strong> the (negative) of reserve changes.<br />

If the index reaches two st<strong>and</strong>ard deviations above the mean a speculative attack is<br />

identified. This variable is regressed on a set of macro-fundamentals. They find that<br />

for non-ERM countries there is a significant difference for the relationship between<br />

emp <strong>and</strong> fundamentals for non-ERM countries when they compare tranquil <strong>and</strong><br />

crises periods but no significant difference for non-ERM countries. They interpret<br />

this as suggesting that ERM crises are driven by self-fulfilling events.<br />

Flood <strong>and</strong> Marion (1997b) criticise the index used by ERW. In particular,they<br />

argue that picking out extreme values in terms of the two st<strong>and</strong>ard error bounds will<br />

miss out any anticipation of the crisis which is reflected in the indicators prior to the<br />

crises. This simply means that the share of the predictable crisis in the sample may<br />

be reduced. Second,if the subsequent post-crisis devaluation is viewed as credible<br />

there may be little change in interest rate <strong>and</strong> reserves at the time of the crisis,<br />

or they may revert back to pre-crisis levels quickly so the indicator in averaging<br />

across these terms misses the crisis.<br />

For example,Frankel <strong>and</strong> Rose (1996) use an annual data set,covering the<br />

period 1971–92,for 105 developing countries <strong>and</strong> apply an event-study <strong>and</strong> probitregression<br />

methods to a set of 16 macro indicators. In sum,they find that crises<br />

tend to occur when output growth is low,growth of domestic credit is high,the<br />

level of foreign interest rates is high <strong>and</strong> a low ratio of FDI debt is associated with<br />

a high likelihood of a crash. Klein <strong>and</strong> Marion (1994) use a panel data set for<br />

80 devaluations in South America over the period 1957–91. They find that the<br />

monthly probability of ab<strong>and</strong>oning a peg increases with real overvaluation <strong>and</strong> a<br />

declining level of foreign assets – other factors that are important are: the degree<br />

of openness,political factors <strong>and</strong> the amount of time the currency was pegged.<br />

Variants of the speculative index approach have been used by others. For<br />

example,Kaminsky <strong>and</strong> Reinhart (1996) use a variant to develop an ‘early warning<br />

system’ of crises. In particular,a balance of payments crisis is identified when a<br />

weighted average 7 of the monthly percentage depreciation in the exchange rate<br />

<strong>and</strong> decline in reserves exceeds its mean by more than three st<strong>and</strong>ard deviations.<br />

A more qualitative approach is used to define a banking crisis. Such a crisis arises<br />

either when bank runs lead to the closure,merging or takeover by the public sector<br />

of one or more financial institutions. Alternatively,in the case of no runs the crisis<br />

occurs with the closure,merging,takeover or large-scale government assistance of<br />

an important financial institution that marks the start of a string of similar outcomes<br />

for other financial institutions. Kaminsky <strong>and</strong> Reinhart (1996) focus on 20 countries<br />

in Asia,Europe,Latin America <strong>and</strong> the Middle East,over the period 1970 to<br />

mid-1995. They find that in the 1970s there are a total of 25 balance of payments

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