1.1. Background the thesis
In the context of economic opening, when governments are embracing open
commercial and foreign exchange markets and flexible exchange rates, the
operation of non-official foreign exchange markets presents a serious concern.
Among developing countries, as well as transition economies, parallel foreign
exchange systems, or the systems in which a market-determined exchange rate
coexists with one or more official exchange rates, have become very common.
In Vietnam exchange rates were unified in March 1989. Since then, the
Vietnamese Government has applied a managed float exchange rate regime aimed at
matching the official rate with the parallel one. A non-official market for
foreign exchange has existed for long time in parallel with the official one,
and has been recognized by not only the public, but also the authorities.
Although there have been a lot of studies considering the subject of exchange
rate in Vietnam, it does not appear to have a work which considers the parallel
exchange rate as a dependent subject for investigating.
Therefore, it is time to undertake a quantitative analysis on determinants of
the parallel market exchange rate in Vietnam. This thesis is an attempt at
investigating the subject.
1.2. Focus and scope of the thesis
The scope of this thesis is to examine Vietnam's fundamental short-run
determinants of the parallel market US exchange rate in recent four
years, from the beginning of 1997 to the end of 2000.
1.3. Research questions
The major objective of this thesis is to make an effort to answer the following
questions:
1.
What were the fundamental determinants of the short-run foreign exchange rate in
Vietnam's parallel market during 1997-2000?
2.
Has the magnitude of these determinants stabilized during 1997-2000?
3.
What are macroeconomic policy implications concerning Vietnam's determinants of
the parallel rate in the context of the goal of achieving market stability to
contribute to proper exchange rate arrangements?
1.4. Methodology of the thesis
The method of analysis used in the thesis is mainly quantitative. The data used
is weekly secondary data. Data for exchange rates (official and
parallel) and other micro-data are directly calculated from the primary daily
database by the author. Macro data is withdrawn from monthly or yearly
secondary data through linear interpolation. Sources for the data are the State
Bank of Vietnam, the General Statistic Office, Central Institute for Economic
Management, the Information Center for Development, the World Bank, and related
published works.
1.5. Structure of the thesis
The thesis consists of five chapters. Chapter 1 is the introduction.Chapter 2 provides an analytical framework.
Chapter 3
presents an overview of Vietnam parallel foreign exchange market. Chapter 4
is devoted to testing hypothesis. Chapter 5 summarizes the main findings
and offers policy recommendations as well as discusses the research limitations
for further study.
2 The Economics of Parallel Foreign
Exchange Markets
2.1.
Definitions
Kiguel et al. (1997) define parallel foreign exchange systems as those in
which a market - determined exchange rate, typically applying to financial
transactions but often to a portion of trade transactions as well, coexists with
one or more pegged exchange rates (p. 17).
Ghei and Kamin (1999) define a parallel foreign exchange market system as one in
which transactions take place at more than one exchange rate (ER) and at least
one of the prevailing rate is a freely floating, market-determined rate (the
parallel exchange rate - PER). Parallel market systems represent a subset of
the broader category of multiple ER regimes, which refer to any regimes in which
two or more ERs are applied to the same currency (p. 499).
Grosse (1994) focuses on the concept of black market and distinguishes it from
that of parallel market. He defines a foreign exchange (FE) black market as a
market for purchase/sale of foreign currency that operates outside the legal
financial system of a country (p. 1). Thus, FE black market is distinguished
from a FE parallel market in that the former is a subset of the later.
In general,
parallel markets are simply FE markets that operate parallel to the official
market that is carried out through a country's commercial banking system.
Parallel markets may be legal or illegal, but they involve nonbank
intermediaries. Black markets are parallel markets that explicitly operate
outside of the legal rules in the country.
2.2. Analytical framework
2.2.1. Market Analysis
2.2.1.1. The Demand Side
The principal demand for parallel FE market comes from the two sources whose
restricted access to the official market led to creation of the parallel
market. Firstly, those importers whose ability to buy foreign
goods is prohibited for any reason may resort to extra-legal sources of funds
to buy those goods and often also to smuggling to bring the goods into the
country from which they are restricted. Secondly, those
investors/savers who wish to hold overseas funds or just foreign-currency
instruments, but who are prohibited from doing so, may resort to the parallel
market to obtain those funds.
2.2.1.2. The Supply Side
On the supply side of the FE parallel market, a variety of participants are also
arrayed. Firstly, The phenomenon of underinvoicing exports that
are passed through the official market is one source of dollars into the
parallel market. Additional exports may produce FE that is brought into the
country through the parallel market when they are exported as contraband.
Secondly, FE also may be brought into the parallel market by local residents
living abroad, when they choose to remit funds to their relatives or friends or
to invest funds locally. These expatriates may decide to use the parallel
market for their remittances because of its favorable ER going from
foreign to local currencies, or to evade taxes on wealth or income from abroad.
Thirdly, a category of participant on the supply side in the parallel
market are arbitrageurs, who profit from buying FE in the official
market and selling it in the parallel market. These participants are especially
sensitive to fluctuations in the ER.
2.2.2. Models of Parallel Exchange Rate Determination
2.2.2.1. Grosse's Linear Model
Based on an analysis of the interaction between demand and supply Grosse (1994)
develops a simple linear model of black/paralle ER determination in Latin
American countries.
where the variables are defined previously, and where overseas wealth
refers to foreign currency wealth of domestic savers and overseas wealth of
expatriates who remain overseas.
·
The reduced equation:
To estimate the price of black/parallel market dollars, the two structural
relationships are transformed into implicit price (ER) functions and then
presented in a reduced form equation, as shown:
Limitation of the model:
Some of the proxy variables obtained for use in the estimations may be highly
correlated among themselves (they had correlation coefficients higher than
0.5). For example, the value of the country's dollar deposits in US banks may
be highly correlated with both the country's GDP and with domestic wealth.
Similarly, the foreign assets may be highly correlated with GDP and with the
main inflation measure used in the equations. The domestic wealth measures tend
to be highly positively correlated, as do the foreign asset measures, and the
domestic wealth measures may be highly negatively correlated with the foreign
asset measures. For this reason, the estimations need using varying
specifications to try to overcome the intercorrelations.
The thesis aslo instroduces two more models of PER determination, namely:
The Stock-Flow Models of the Parallel Exchange Rate
Premium and The Partial-Equilibrium Model of
Parallel Exchange Rate Determination. However, since these models concern
long-run determinants of parallel exchange rate, they are not highly utilized in
the thesis.
3
AN OVERVIEW OF VIETNAM PARALLEL FOREIGN EXCHANGE MARKET
3.1. The Exchange rate policy changes in 1989-2000
During the period of 1989-2000, Vietnam ER policies experienced a lot of changes
towards a more and more flexible ER regime. The starting step was unification of
the multiple rate and large devaluation of the nominal official rate during the
period 1988-1991. This period characterized by such changes as: the government
decision assigned the SBV to be in charge of managing the FE in Vietnam, an
introduction of the government's exchange rate determination method based on the
market changes; allowing the economic units and individuals to open foreign
account in banks; allowing them to use their FE for payments, constrained
through banking system only.
The next years (1991 - 1996) characterized by an introduction and running of the
FE Trading Centers and the Interbank Markets later. Partly loosened FE control
and capital control were introduced in this period via regulations on foreign
borrowing, allowing open of foreign account abroad, regulations on remittances
and invisible transfers. Further, the exchange rate determination method has
been applied based on the rates prevailing in the Centers and the Markets. The
operation of the foreign reserve fund shows noticeable achievement.
Since the second haft of 1996, the economy faced with the significant internal
and external economic changes. The government applied a tight FE control and
capital control to restrain demand and at the same time to increase supply of FE
for loosening devaluation pressures. In early 1999, the introduction of new
principle for setting ER, using the average inter-bank ERs of the previous
working day for the announced official rate, is marked as the most important
change in the FR system since 1996. This policy does obviously contribute to
increasing the flexibility of Vietnam ER regime.
3.2. The parallel market for foreign Exchange in Vietnam
3.2.1. Market Analysis
3.2.1.1. The Demand
The principal classes of buyers of FE who have participated in Vietnam parallel
market in recent years fall into three main categories: importers,
savers/investors, and arbitrageur/ speculators. Each of these categories
operates quite distinctly from the others.
Illegal imports
have aslo been accelerating in recent years, leading to a great demand for FE.
The amount of smmugling imports in the first six month of 1997 alone is
estimated more than USD 400 million. It is estimated that there are 40 tons of
gold worth USD 420 million smuggled into Vietnam annually.
Investors/savers.
Not only individuals but enterprises in Vietnam often choose to hold USD as a
secured financial asset. The parallel market, therefore, provides foreign
currency instruments, and often it provides funds transfer as well. Also
included here may be foreign firms and individuals who have a local presence but
who wish to hold funds overseas to obtain a higher or safer return. As Vietnam
is an economy with high degree of dolarization, the parallel market has been an
important market for foreign asset in the country.
Bear speculators.
In Vietnam, financial intermediaries play an important role in this category.
They do the business as in any financial market, holding financial instruments
in US dollar converting back to VND when the devaluation has occurred, or when
they choose to realize their losses, in the event that the expected devaluation
does not occur or is less extreme than anticipated.
3.2.1.2. The Supply
Suppliers of parallel Vietnam FE include overseas residents, contraband
exporters, exporters who underinvoice their sales, importers who overinvoice
their purchases, smugglers who have FE from their illegal exports, and
arbitrageurs who contribute to make the market clear.
Overseas residents.
It is estimated that there exist many billions of USD held in cash in the
public, and that about one third of the total amount of dollars was transferred
from overseas Vietnamese into Vietnam outside the official channels in 1999.
Contraband exporters,
those who fail to declare their exports to the authorities. Besides, exporters
who underinvoice their sales and importers who overinvoice their
purchases aslo play a very important role in the supply side of the parallel
market in Vietnam.
Smugglers.
In Vietnam, smuggling has become more and more severe recently, taking account
for significant quantity of underground economic transactions. The FE earned
from this business naturally turns back to Vietnam through the parallel market.
Arbitrageurs.
These participants in Vietnam mainly include financial intermediaries in all
kinds and sizes.
3.2.2. Behavior of the Parallel Exchange Rate
It is found that while the parallel rate strongly depends on economic and trade
conditions, the premium almost totally depends on ER policies. This finding is
logical since the parallel rate is in nature based on demand and supply
conditions of FE markets, and the premium by definition is primarily determined
by the relative difference between the parallel and official rates which is in
turn regulated by policies. This finding in the case of Vietnam, however, is
not only a reconfirmation of the logic, but a good suggestion for further
quantitative studies. Alternatively, it should be weighted the role of policy
change as the most important determinant of premium, meanwhile economic and
trade conditions must be highlight in any model of PER determination.
4
MODEL SPECIFICATIONS AND EMPIRICAL RESULTS
4.1. Hypothesis Development
The hypothezied relation between the dependent variable PER and explanatory
variables is:
PERt
=
a +
i=1
S7
(b1ip*t+1.Di+
b2iINTEDI3*t+1.
Di +
b3iINFADI*t+1.Di
+
+
b4iGP*t+1.Di
+
b5iGDP*t+1.Di
+b6iTRENDt)
+ ut
Where
PER:
The selling parallel exchange rate in current VND, weekly.
OER:
Official dollar exchange rates in current VND, weekly.
p
Opportunity for arbitrage, weekly. p
is calculated by taking PER minus OER. p
is therefore measured in current VND.
INTEDI3:
Interest differential in percentage, weekly. INTEDI3 is the difference between
3-month deposit rate of VND and USD in Vietnam
INFADI:
Price differential between US and Vietnam in percentage, monthly, or the
difference between the CPI growth rate of Vietnam and US.
GP:
Market selling gold price in current VND, weekly.
Di:
Dummy variables for policy changes. Di = 0 before, and = 1 after an policy i
is issued (see Table 1).
Table
1
Dummy Variables
Week
Di
Policy
2/10/97
D1
The ER band was widened from 1% to 5%.
3/17/97
D2
The ER band was widened from 5% to 10%.
2/16/98
D3
Devaluation of the VND from VND 11,175/USD to VND 11,800/USD.
8/10/98
D4
Devaluation of the VND from VND 11,800/USD to VND 12,998/USD
together with narrowing the band, to 7%.
9/14/98
D5
Foreign exchange surrender requirements of up to 80% of available balances.
3/1/99
D6
SBV began announcing average inter-bank ERs of the previous working day, but
the band has been tightened remarkably to 0.1%.
8/2/99
D7
FE surrender requirements reduced to 50% from 80%, at the same
time encourage private foreign exchange transfers from abroad.
4.3. the Empirical model
4.3.1. The Model Selected and Method of Estimation
4.3.1.1. The Model
After undertaking the process of model selection, it is found among 15 models an
appropriate one of PER determination in Vietnam during the period of 1997 -
2000. That is one in adaptive expectation form:
PERt
=
a +
i=1
S7
(b1ip*t+1.Di+
b2iINTEDI3*t+1.
Di +
b3iINFADI*t+1.Di
+
+
b4iGP*t+1.Di
+
b5iGDP*t+1.Di
+b6iTRENDt)
+ ut(4.1)
However, since expected values Xi*t+1 are not observed, we
consider another regression that can bring the same results with observed
variables Xit:
where
a
=
a(1-l
i),
b'ji
=
bji(1-l
i)
(j =1,2,…6, i =1,2,…7), and vt = ut -
lut-1.
4.3.1.2. The Use of Instrumental Variable Method
Since equation (4.2) involves a regression of PERt
on PERt-1, the model faces the problem of autocorrelation
(explanatory PERt-1 is correlated with the error term vt
= ut -
lut-1).
Thus estimation of equation (4.2) by OLS gives us inconsistent estimates of the
paramaters. To solve the problem, we use the instrumental variable (IV)
method. In this case,
pt-1
is used as an instrument for PERt-1. Therefore, the model can
be rewritten as:
Because most of variables are in time series type, the problem of 'spurious'
regression may arise when carrying out regression if they are nonstationary
series. Therefore, it is necessary to test the stationarity of variables before
running the above regression. If the variables' series are nonstationary, we
will adopt the differentiation method to avoid this problem, or run the
regression in the ith differenced form where ith
differenced series of variables are nonstationary.
where X1t denotes for the first differenced Xt
series.
4.3.2. Model Adjustment, Estimation Results, and Hypothesis Testing
4.3.2.2. Model Adjustment
After taking necessary tests, we refer to two conclusions: i) the PER1 time
series is stationary, or it is an I(0) stochastic process, which means PER
itself is an I(1) time series. Therefore, we can say that the movements of
parallel exchange rate follow the random walk. ii) equation (4.1) should
be regressed in its first-difference form to avoid 'spurious' and other related
problems which may arise in estimation due to nonstationary data.
Exclude GDP variable (a long-run one) from the equation, and rewrite the
equation in traditional form:
where proxies have been identified as before. The intercept
a
is employed because we still assume there may be a trend in PER series (a
=
b'6i).
4.3.2.3. Estimation Results and Hypothesis Testing
Result of the adjusted model adopting AR(1) scheme and excluding redundant
variables is presented in Table 2. We can see in this table satisfactory values
of statistics like F (for overall significance of parameters), t
(for individual significance of parameters), adjusted R-squared (for 'goodness
of fit' of the model), and DW d (for absence of first-order serial
correlation), which show the quality of the specification.
Regarding other residuals and stability tests (Serial correlation LM test, ARCH
LM test, Ramsay RESET test, etc.), it is found that other classical assumptions
in OLS are satisfied.
Table 2 Result
of the Adjusted Model Adopting
AR(1) Process
Variable
Coefficient
Std. Error
t-Statistic
Prob.
a
4.83
4.30
1.12
0.26
p1t-1
-0.16
0.11
-1.52
0.13
p1t-1D2
0.23
0.12
2.02
0.04
p1t-1D3
0.33
0.10
3.33
0.00
p1t-1D4
-0.46
0.13
-3.59
0.00
p1t-1D6
0.06
0.10
0.59
0.56
p1
0.57
0.10
5.85
0.00
p1D2
0.32
0.11
3.03
0.00
p1D3
-1.03
0.07
-14.95
0.00
p1D4
1.22
0.11
11.13
0.00
p1D6
-0.59
0.08
-7.78
0.00
INTEDI31*D3
117.42
50.59
2.32
0.02
INTEDI31*D4
-119.35
51.47
-2.32
0.02
INFADI1
-45.80
17.53
-2.61
0.01
INFADI1*D3
84.54
19.89
4.25
0.00
INFADI1*D4
-51.53
10.71
-4.81
0.00
GP1*D2
0.00
0.00
2.19
0.03
GP1*D4
0.02
0.00
8.27
0.00
GP1*D6
-0.02
0.00
-8.63
0.00
R-squared
0.88
F-statistic
72.35
Adjusted R-squared
0.87
Prob (F-statistic)
0.00
Durbin-Watson stat
1.99
4.3.3.
Interpretation of the Result
Box 1 presents regression result after eliminating all the dummy variables from
equation (4.5).
Box 1
Regression Results in Periods
·
Before Policy (p) II (from the beginning of 1997 to March 17, 1997)
PER1t
= 0.574p1t
- 45.798INFADI1t
·
After pII, before pIII (from March 17, 1997 to February 16, 1998)
Result of the estimation are
periodically summarized in Table 3.
It is clear that estimates of the parameters change corresponding to the
presence of new FE policies.