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Exchange
Rate Management
Target
Zones and the EMS
At a lunchtime
meeting on 29 October, held to mark the launch of Exchange
Rate Targets and Currency Bands , Marcus Miller discussed
the results and progress of recent research into the theory of `target
zones' and their implications for the development of the international
financial system in particular the Exchange Rate Mechanism of the EMS.
Miller is Professor of Economics at the University of Warwick and has
been Co-Director of the International Macroeconomics programme of the
Centre for Economic Policy Research. The meeting formed part of CEPR's
research programme on Financial and Monetary Integration in Europe,
which is supported by the Commission of the European Communities under
its SPES programme and additionally by the Ford Foundation. Further
financial support was provided by Cambridge University Press. The views
expressed by Professor Miller were his own, however, not those of any of
the above organizations nor of CEPR, which takes no institutional policy
positions.
Miller first noted that research programmes in economics usually emerge
from the intersection of a new analytical approach and a real economic
problem. In the last few years such a programme has emerged in
international monetary economics, which applies the analytical
techniques of `stochastic process switching' used in modern finance
theory to study the international arrangements under which national
monetary authorities attempt to keep their exchange rates within
currency bands or target zones. Such policies have assumed increased
importance in the light of the unexpected success of the Exchange Rate
Mechanism of the EMS.
Miller noted that Robert Flood and Peter Garber had first applied these
techniques to study sterling's behaviour before the UK's return to the
Gold Standard in 1925; but it was the world-wide move away from freely
floating national currencies in the mid-1980s that provided the main
stimulus to academic research in this area. In the US, there was a
lively debate on the merits of stabilizing the dollar vis-à-vis the
currencies of its major trading partners. The US authorities first
sought to drive the dollar down with threats of coordinated intervention
on foreign exchange markets and then tried to stabilize exchange rates
with the 1987 Louvre Accord. Within Europe, the EMS proved much more
durable than many had predicted; and in 1987 the ERM members moved
further towards exchange rate stabilization by providing for increased
reserve support and avoiding realignments within the ERM.
Paul Krugman developed his target zone model, presented in Chapter 2 of
this volume, to explain how credible threats to intervene could help to
stabilize exchange rates and to provide explicit, non-linear solutions
for the relation between the exchange rate and the `fundamentals' when
intervention is expected at the edge of the band. If this theory is
correct, the exchange rate should stay closer to the centre of the band
than would a freely floating rate; and this `honeymoon' effect can defer
the need for intervention. Miller noted that other papers in the volume
show how intramarginal intervention may be accommodated without changing
the basic results, study the role of reserves in determining the
sustainability of a fixed rate system, and test the theory's predictions
for currency bands or regime switches.
Miller then discussed the major contributions to research in this field
in the last year, some of which were presented at the CEPR workshop on `Exchange
Rate Target Zones' on 27/28 October. Much of this research has
sought to fit target zone models to the available data. Bertola and
Svensson have found that the components left unexplained by simple,
`first generation', non-linear models of the Krugman type are quite
large. They therefore propose improving the empirical performance by
including sources of exchange rate and interest rate fluctuations other
than the fundamentals traditionally included. Their revised model, in
which the likelihood and size of devaluations vary over time, may
explain some of the conflicting findings in the empirical literature.
Rose and Svensson have found that the behaviour of estimates of expected
rates of depreciation within the band derived for daily FFr/DM exchange
rate data for 1979-90 accords well with the Bertola-Svensson approach.
Swedish daily data for the 1980s reveal that interventions occurred
throughout the bands and almost every day. Miller concluded that for
empirical applications Krugman's canonical model must be extended to
allow both for intramarginal intervention and for the time-varying risk
of devaluation.
Miller also argued that a central bank that is introducing a target zone
may allow for a `learning process' by the public, which will initially
doubt the credibility of the currency band. This `premium' should
diminish over time, however, if the authorities defend it at the margin
and there are no realignments. Any such realignment will revive fears of
future realignments and hence reduce the current parity's credibility by
setting back the public's process of `learning to trust' its central
bank.
Miller argued that such adverse effects of realignments on perceived
devaluation risk can be offset if a central bank can signal that future
realignments are in fact being made more difficult. The Italian
authorities sought to do this when they `devalued' the lira in 1990,
when in fact they narrowed the band to the bottom 4.5% of its existing
12% range and argued strongly for increased monetary integration in
Europe. Italy's subsequent experience of inflation suggests, however,
that these signals did not work; although this may be a consequence of
the fiscal deficits and not a reflection on the central bank. Any
significant realignment by the UK after a year of ERM membership would
certainly tend to undermine sterling's credibility; but with its very
different fiscal position, the UK might be able to follow the Italian
example without suffering such a credibility loss, particularly if this
formed part of a general EMS `final realignment' before the move to a
single currency.
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