Liquidity In Forex Markets.pdf

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PII: S0927-5398(01)00019-6
Journal of Empirical Finance 8 2001 157–170
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Liquidity in the forward exchange market
Michael J. Moore a,) , Maurice J. Roche b
a
School of Management and Economics, The Queen’s Uni Õ ersity of Belfast, Belfast BT7 1NN,
Northern Ireland, UK
b
Department of Economics, National Uni Õ ersity of Ireland, Maynooth, Co. Kildare, Ireland
Received 22 May 1997; accepted 2 February 2001
Abstract
The forward foreign exchange market is modelled within the framework of a limited
participation two-country model and then simulated using the artificial economy methodol-
ogy. The new model improves on the standard two-country cash-in-advance model in a
number of ways. It gets closer to the observed lack of autocorrelation in spot returns and it
helps to explain the persistence in the forward discount. However, it cannot account for the
relative volatilities of spot returns and the forward discount. Finally, the model goes some
distance in explaining the forward discount bias puzzle but falls short of resolving it.
q 2001 Elsevier Science B.V. All rights reserved.
JEL classification: F31; F41; G12
Keywords: Artificial economy; Forward foreign exchange; Cash in advance; Liquidity
1. Introduction
advance CIA model. Our focus is to explain the behaviour of the forward
exchange rate. However, the framework is a general equilibrium one so it has
some useful insights into other variables, particularly the spot exchange rate.
Specifically, we construct a limited participation household model along the lines
.
) Corresponding author. Tel.: q44-28-9027-3208; fax: q44-28-9033-5156.
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0927-5398r01r$ - see front matter q2001 Elsevier Science B.V. All rights reserved.
Ž .
In this paper, we present an improvement on the standard two-country cash-in-
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E-mail address: m.moore@qub.ac.uk M.J. Moore .
PII: S 0927-5398 01 00019-6
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M.J. Moore, M.J. Roche r Journal of Empirical Finance 8 2001 157–170
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of Lucas 1990 and Grilli and Roubini 1992 . An explicit forward market that
throws light on the importance of liquidity effects in this market is added. We also
allow for endowment as well as monetary shocks.
One of the striking, but little, noted features of the standard CIA model is that it
predicts that spot returns are autocorrelated if the underlying international money
growth differential is itself autocorrelated. Indeed, if the international money
growth differential is a long memory process, the CIA model even predicts that
this property transfers onto spot returns. This is clearly unsatisfactory because spot
returns are close to white noise while the money growth differential is certainly
not. Our model succeeds in seriously weakening this implausible relationship.
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A number of writers, including Macklem 1991 , Backus et al. 1993 and
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Bekaert 1994, 1996 have tried to explain the
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A
puzzle
B
that forward exchange rate
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premia are persistent and may even be fractionally integrated e.g., Baillie and
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Bollerslev, 1994; Masih and Masih, 1998 . One of the contributions of the paper is
that we succeed in making clear how this can arise from within the standard CIA
model, if the international money growth differential is persistent.
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It is often argued e.g., Flood and Rose, 1998 that standard CIA models simply
cannot explain the extent of volatility of spot returns. This is undoubtedly true and
we will reinforce this point. However, the model we have constructed is capable of
mimicking observed volatilities under certain circumstances.
According to the standard CIA model, the forward discount is an unbiased
predictor of realised future spot returns. It is well known that this is not the case
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Engel, 1996; Sibert, 1996; Bekaert, 1996 . Our model brings the theory closer to
the data but it still falls far short. One advantage of our analysis is that it clarifies
what is required of a satisfactory theory. The structure of the paper is as follows.
Section 2 provides a critical background to the standard CIA theory. In Section 3,
our model is introduced. Section 4 reports the result of simulating an artificial
economy. Section 5 gives directions for future research.
.
2. Background
2.1. General formulation
Hodrick 1987 provides an excellent summary. There are two features of the
standard model that are important for this paper. The first is that though goods are
paid for in cash, the model is quite silent on the means of payment for the
purchase of assets. The second is that assets are priced and traded in each time
period after real and monetary shocks are made known. The standard model can
be crystallised in the following four ‘efficiency’ conditions.
The assumptions of the standard two-country CIA model are well known and
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M.J. Moore, M.J. Roche r Journal of Empirical Finance 8 2001 157–170
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159
Firstly, the spot exchange rate is provided by a purchasing power parity
condition. This is derived from the notion that the bilateral real exchange rate
equals the marginal rate of substitution between home and foreign goods.
U r P 2
2 t
S s
t
Ž.
U r P
1 t t
where S is the spot exchange rate, measured as the home price of foreign
t
currency; U and U are the period t marginal utilities of the home and the
1 t 2 t
foreign goods, respectively; P 1
t
1
t
and P 2
t
are the period t nominal prices of home
and foreign goods, respectively.
The second and third efficiency conditions are the familiar home and foreign
nominal bond-pricing formulae. These are, of course, not peculiar to just cash-in-
advance models but are shared by many monetary models.
i
U
r P
q sb E
it q1
t q1
i s1,2
Ž.
t
t
U r P
it
i
t
t
subjective rate of discount and E is the expectations operator conditional on time
t
are the home and foreign nominal prices of one-period bonds, b is the
t .
The final efficiency condition is the no-arbitrage identity of covered interest
parity that is a feature of all models.
F
2
t
s
t
Ž.
1
S t t
where F is the one period ahead forward foreign exchange rate expressed as the
t
home price of foreign currency.
The four efficiency conditions provide us with home and foreign nominal bond
prices along with spot and forward exchange rates. In this discussion, we are only
concerned with the behaviour of the exchange rates. The importance of the two
bond prices lies in the fact that they enable us to derive the forward exchange rate
through covered interest parity.
2.2. Some re Õ ealing approximations
The theory outlined in Section 2.1 is too general to identify the predicted
stochastic properties of spot and forward exchange rates. To progress further, we
need to make concrete assumptions about the functional form for utility as well as
the sources of uncertainty. Assume that utility is intertemporally separable with an
iso-elastic equal shares instantaneous utility function. Next, assume that home and
foreign consumption growth follow mean-stationary stochastic processes with
normally distributed i.i.d. innovations, which have the same variance for both
countries. The assumption that the innovation variance is the same in both
where q i
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M.J. Moore, M.J. Roche r Journal of Empirical Finance 8 2001 157–170
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)
countries affects nothing of substance and simply eases exposition. Assume that
the money growth processes are defined analogously. In this case, it is helpful to
develop some explicit notation. Let u i
t q1
, i s1,2 be a normally distributed i.i.d.
innovation with the same variance s 2
for both countries and p i , i s1,2 be the
p
t
conditional expectation of country i ’s money growth at time t .
The following assumption is significant. Like a number of previous writers,
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most notably Engel 1992, 1996 , we point out that the observed covariances of
real and nominal shock innovations are typically zero. This is an empirical
regularity in the asset pricing literature generally but we have replicated this yet
again on a G7 data set, which we report in Section 4 of the paper. The
combination of this stylised fact and iso-elastic time inseparable utility makes the
standard CIA model a very weak basis for explaining time-varying risk premia.
We also assume that cross-country real and nominal covariances are also zero.
This involves very little loss of generality but evidence is provided for it in
Section 4 anyway.
We are now in a position to examine the predicted stochastic properties of the
spot and forward exchange rates in the standard CIA model. Using the cash-in-ad-
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.
vance-for-goods constraint, Eq. 1 enables us to write the spot return as:
log
ž
S t q1
/
s p yp q u
Ž
1
2
.
1
y u
2
Ž.
S t
t
t
t q1
t q1
properties of the money growth differential whatever they are are mapped
directly onto spot returns. There is abundant evidence that the money shocks are,
in fact, persistent. Moreover, we explore the suggestion in Section 5 that money
shocks may even follow long memory processes. If the money growth differential
also has a long memory, it is alarming that the standard CIA model predicts that
this property would also be held by spot returns.
The properties of the forward rate are obtained indirectly through bond prices.
Ž. Ž.
.
Using Eqs. 2 and 3 and the properties of the lognormal distribution, we obtain
the following expression for the forward discount 1
log
F t
sp yp
1
2
Ž.
S t
t
t
1 The standard CIA model with homoscedastic forcing processes can generate a constant risk
premium as well as a constant non-convexity term. They are both zero because of our assumptions on
the variance–covariance matrix of the innovations to exogenous shocks.
Hence, spot rate returns are equal to the money growth differential. The only way
in which the standard CIA model will successfully predict that spot returns are
non-autocorrelated, as they typically are, is if the underlying money growth
differential is white noise. Indeed, the standard model predicts that the stochastic
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M.J. Moore, M.J. Roche r Journal of Empirical Finance 8 2001 157–170
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161
which is the difference between conditionally expected home and foreign money
growth. Hence, the forward discount will have a persistent autocorrelation function
if the money growth differentials are persistent.
Ž. Ž.
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Moore, 1994 for testing for unbiasedness, namely regressing spot returns,
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log S r S , on the forward discount. The standard CIA theory clearly implies
t q1 t
that the forward discount should be an unbiased predictor of spot returns.
The standard CIA theory also implies that speculative profits and the forward
discount should be orthogonal, irrespecti Õ e of the nature of the forcing processes
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.
for money . Backus et al. 1993 suggest that a useful summary statistic for the
extent of the forward market bias is provided by the estimated variance of the
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fitted values from the regression of log S
t q1
r F , on the forward discount.
t
.
3. The model
tion model in a two-country world along the lines of Lucas 1990 , Fuerst 1992 ,
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.
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Grilli and Roubini 1992 and Christiano et al. 1997 . Limited participation
models differ from the standard CIA two-country models as follows. Asset
portfolios cannot be adjusted costlessly. This idea is implemented by specifying
that all portfolio decisions are made before the realisation of money shocks, both
foreign and domestic. This is significant because assets, as well as goods, must be
purchased with cash that must be accumulated in advance.
The specific contribution made in this paper is to extend this class of models to
allow for forward foreign exchange contracts. The sluggish portfolio adjustment
behaviour, which we have modelled for all other assets including spot exchange
rates, does not affect forward contracts. Since there are no margin requirements,
the model drives an additional liquidity ‘ wedge’ between spot returns and the
forward discount. The formal specification of the model is derived in the Ap-
pendix. We again crystallise its main features into four ‘efficiency’ conditions.
These should be compared directly with the analogous conditions for the standard
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.
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.
CIA model Eqs. 1 – 3 .
Firstly, purchasing power parity no longer holds in any conventional form.
Ž.
Ž . Ž ..
Instead of Eq. 1 , the spot exchange rate is determined as follows:
EU
t
Ž
2 t q1
r P 2
t q1
.
q 1
t
Ž.
S s
t
EU r P
Ž
1
.
q
2
t
1 t q1
t q1
t
In contrast to Eq. 1 , the price-weighted marginal utilities are expected values.
This reflects the fact that all decisions are made before shocks are known. The
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appearance of the bond price ratio in Eq. 6 is its most important feature. It
A comparison of Eqs. 4 and 5 reminds us of the traditional vehicle e.g.,
.
To address the challenges posed in Section 2, we develop a limited participa-
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