korean trade and financial linkages with the u.s. and japan
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Korean Trade and FinancialLinkages with U.S. and Japan
Maziar Kazemi
May 2011
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I. Introduction
At the turn of the 21
st
century, the world economy was more globalized
and integrated than ever. The forces behind this increased globalization
have been the subject of much research, and as technological and
financial innovations continue to increase, one would expect this process
of economic integration to continue. In examining the increased
integration of national economies, the relationship between advanced
economies (AEs) and emerging economies (EMEs) is of particular interest.
Globalization and economic integration have had particularly pronounced
effects on the economic performance of EMEs. Many EMEs look to
international trade and capital flows as positive forces to help them
promote economic growth, increasing the standard living of their citizens.
Trade openness among EMEs has nearly doubled since the 1980s, and
financial openness- measured as gross assets and liabilities as percent of
GDP- has nearly tripled in the same time period.1
The purpose of this paper is to first present a simple measure of
integration between an EME and major AEs. Next, having shown that the
EME is well integrated into the global economy, the paper will employ
1 Felices, et al. 2008
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multivariate regression to examine the factors that affect trade and
capital flows between the EME and its major trading partners.
My focus will be on the Republic of Korea (henceforth Korea) and its two
major trading partners from the developed world, namely the U.S. and
Japan. Korea represents an EME and the U.S. and Japan are two major
AEs. The U.S. is naturally of interest for this study, as it is the largest
economy in the world as well as a major trading partner of Korea. Japan
is also important not only because it is the third largest economy in the
world but has significant influence on East Asian economies.2
Korea is a member of the Asian newly industrialized countries (NIEs)
along with Hong Kong, Singapore, and Taiwan. Coupling this classification
with its stable political situation, and increasing economic integration with
the global economy, makes Korea a good example of an EME for this
study. Because it has a stable political system, we do not need to be
concerned about political instability causing major fluctuations in trade or
capital inflows.3 Japan, because of its geographical proximity, and the
US, because of its historical ties to Korea, are major influences on the
Korean economy. The relationship between the U.S. and Korea was
2 McKinnon, 20043 Of course one cannot ignore the influence of North Korea and its saber rattling policies onKoreas economy. However, it appears that with very few exceptions, Korean financialmarkets have come to ignore hostile pronouncements that come out North Korea.
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recently extended further by the signing of the free-trade agreement
between the two countries in June of 2007. Consequently, our choice of
the U.S. as an AE to be examined is particularly interesting. Finally, as
will be shown later in the paper, the empirical evidence supports the
notion that financial linkages between Korea and the U.S. and Japan are
particularly strong.
The first goal of the paper is to empirically examine the strength of
financial linkages between Korea and the U.S. and Korea and Japan. For
this purpose, I estimate the correlation coefficients between each pair of
countrys Financial Stress Index (FSI). This index was developed by
Balakrishnan, Danniger, Elekdag, and Tytell (2009) and will be further
described later.
Next, I shall further explore these financial linkages by examining the
factors that affect trade and capital flows between Korea and the US and
Japan. I employ two multivariate regressions to study the impact of
these factors. Regression 1 (REG1) examines the determinants of Korean
net exports, defined as a flow of goods and services. Specifically, I will
look at the effects of changes in the relevant exchange rates as well as
the impact of changes in the GDP of the U.S., Japan, and Korea.
Regression 2 (REG2) examines the determinants of net portfolio
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shows, Korean GDP5 has steadily increased since 1999, with the notable
dip during the recent financial crisis.
Figure 1--Korea's GDP
0.000
50000.000
100000.000
150000.000
200000.000
250000.000
300000.000
Jul-98 Apr-01 Jan-04 Oct-06 Jul-09 Apr-12
on,ons
Date
GDP
Source: IMF Statistics
As an NIE, Korea has a fairly advanced and thriving private sector. It has
10 companies listed in the Fortune 500, with Samsung listed as number
32. Besides having a rather strong domestic economy, Korea has
significantly increased its integration with the rest of the world. The
countrys openness- measured as the sum of exports and imports as a
percentage of GDP- has increased from 65% in 1999 to a peak of 118%
by the end of 2008. Figure 2 shows this trend over the past decade, and
as in the GDP graph, we see another notable dip during the recent
financial crisis.
5 Note: GDP has been seasonally adjusted.
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Figure 2--Korea's Trade Openness
0
0.2
0.4
0.6
0.8
1
1.2
1.4
Jul-98 Apr-01 Jan-04 Oct-06 Jul-09 Apr-12
%oGDP
Date
Openness
Source: IMF Financial Statistics
Similarly, we might measure the change in Koreas financial openness, which
is measured as the sum of foreign assets and foreign liabilities as a
percentage of GDP. Once again, as Figure 3 shows, this measure of
openness has increased as well. In the first quarter of 1999, Koreas
financial openness was around 75% of GDP. Since then, it has reached a
level of well over 100% of GDP.
Figure 3--Financial Openness
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0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
Jul-98 Apr-01 Jan-04 Oct-06 Jul-09 Apr-12
%ofGDP
Date
Financial Openness
Source: IMF Financial statistics
III. Role of the Yen and the Dollar
Japan and the U.S. are not the countries of choice in our comparison with
Korea simply because they are two large AEs. There is significant
literature on the importance of the US dollar and the Japanese yen in East
Asian emerging economies, including Korea. One manifestation of this
importance is the so-called Original Sin. According to Eichengreen
(1999), Original Sin occurs when a country cannot borrow freely in its
own currency. This difficulty is present not only in EMEs but in some AEs
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as well. A country whose currency serves as a global medium of exchange
and store of value does not face this problem. For instance, because of
the role of dollar in the global economy, the U.S. government and its
private sector do not face a major constraint in borrowing in terms of U.S.
dollars. This has led to a great deal of dollarization in countries that
suffer from Original Sin. In 2002, for example, 86.8% of Korean exports
and 80.6% of Korean imports were invoiced in dollars. While the yen is a
major global currency, only 5.2% of Koreas exports and 12.1% of its
imports were invoiced in yen.6
While this may indicate that for the Korean economy that the yen is not
as important as the dollar, the yen still plays a major role and is therefore
not excluded from our analysis. McKinnon (2004) shows that the
yen/dollar exchange rate has significant effects on the economies of other
East Asian nations. Notably, a depreciation of the yen/dollar rate should
drive U.S. demand for imports away from the other East Asian countries
and towards Japan.
IV. Financial Stress Index, FSI
In this section, the construction of the financial stress index (FSI) by
Balakrishnan, Danniger, Elekdag, and Tytell (2009, pg 7-9) is discussed.
6 McKinnon, 2004
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The larger the FSI value for a given country, the more strain its financial
sector is in and the less power said sector has to intervene effectively in
the global market. In addition, we will estimate correlation coefficients
between the FSI of Korea and the FSI of U.S. and the FSI of Japan to
examine the degree of financial linkages between Korea and the U.S. and
Japan. Balakrishnan et al. construct the FSI as follows:
is related to the Capital Asset Pricing Model (CAPM) and it
measures the systematic risk of the local stock market. Basically, it
is obtained by regressing the return on the local stock market
against the return on an index representing the global equity
markets. A beta of 1 indicates that the local market has the same
sensitivity to global factors as the global equity market. Therefore,
a local market with a beta greater (smaller) than one is considered
to be more (less) risky than global markets. The beta is estimated
using a 12-month moving window.
Stock market returns are calculated as monthly changes in a broad
stock market index, multiplied by negative one. This done so that
decreases in stock prices will positively affect financial stress index.
Stock market volatility is obtained from GARCH(1,1) specification,
using monthly returns.
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Sovereign debt spreads are defined as the country in questions
bond yield minus the yield on the 10-year U.S. Treasury.
The EMPI records exchange rate depreciations and declines in
foreign reserves.7
Using data provided by Balakrishnan, et al. (2009), I computed the quarterly
changes in the FSI for Korea, the U.S. and Japan from 1999 to 2009. I then
estimated the correlation coefficients for the changes in the Korean FSI
versus the changes in the U.S. FSI and Japan's FSI.8 Correlation coefficients
were estimated for the total time period of 99-09 as well as during the crisis,
07-09. Table 1 presents the results of our estimates along with the
estimated p-values.
Table 1A: Korea and Japan
Total Period Crisis Period
0.549 0.653
p-value
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Table 1B: Korea and the U.S.
Total Period Crisis Period
.567 .715
p-value
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Indexes.10 Since trade data is only available on a quarterly basis, I use
quarterly stock market data as well. The period covered by my study
begins in with the first quarter of 1999 and ends in the fourth quarter of
2009. This range covers the decade following the Asian crisis of the late
1990s and includes the financial crisis of 2007-2009.
Multivariate regressions are employed to perform the tests of this section.
The first regression (REG1) seeks to explain the determinants of net
exports for Korea, which is measured as the quarterly flow of imports and
exports. The following expression displays REG1:
For REG1, I have chosen to compare the percentage change of net
exports from one quarter to the next. Thus, the dependant variable of
REG1 measures changes in the quarterly trade flows. The independent
variables of REG1 are: (a) the quarterly percentage change in Koreas
nominal effective exchange rate (NEER), (b) the quarterly percentage
change in the won/dollar exchange rate, (c) quarterly percentage change
in the yen/dollar rate, (d) the percentage change in the yen/dollar rate
squared, and (e) lagged quarterly percentage change in the GDPs of the
10 http://www.msci.com/
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three countries. An explanation for the inclusion of some of these
variables is in order. First, Koreans NEER and won/dollar exchange rates
are natural choices. Second, as explained in Section 3, previous literature
has determined that the yen/dollar rate has significant influence on the
performance of East Asian economies. Third, the percentage change
squared is used as proxy for uncertainty in exchange rate and exchange
risk. Finally, lagged GDPs are used because changes in imports and
exports are affected by changes in domestic and foreign national
incomes.
For my second regression (REG2), I focus on net portfolio investment as
my dependent variable. The following expression shows REG2:
Notably, the data is constructed similarly to the net exports data. Net
portfolio investment is measured as a quarterly flow, in this case. The
depended variable is the quarterly percentage change in net portfolio
investment. The independent variables of REG2 are: (a) the quarterly
return on Korean stock market11, (b) the quarterly return on the U.S.
stock market12, (c) a measure of Korean stock market volatility, (d) a
11 Using MSCI Korea Index as representation of Korean equity market12 Using MSCI US Index as representation of US equity market
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measure of volatility of Koreas NEER, (e) interest rates differential using
the Korean central banks discount rate and the Federal Reserves
discount rate in a give quarter and (f) the quarterly percentage changes
in GDP variables used in REG1 (not lagged in this case). To measure the
quarterly volatility of the stock market or the NEER, I used the following
methodology,
,where returns were calculated monthly over a quarter. This is similar to
estimating standard deviation of returns if the estimated mean is zero. I
used this approach because of lack of sufficient observations in each
quarter. This approach was applied to stock market return and monthly
percentage changes in Koreas NEER. The rest of the computations follow
mutatis mutandis.
Using quarterly data, the parameters of these two regressions are
estimated. The results are discussed in the next section.
II. Results
Table 2 presents my estimates of REG1
Table 2: Results for REG1:
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We see that the won/dollar rate, lagged Japanese GDP growth, and
lagged Korean GDP growth are significant at the 10% level, at least. The
results do follow our earlier assumptions. A depreciation of the won
versus the dollar, expectedly, leads to a positive percentage change in
NX. Also, stronger Korean GDP performance tends to positively affect NX.
Normally, we would also expect imports to increase as GDP rises, causing
NX to fall. In this case, the strength of Koreans economy could be a
proxy for the strength in global economy, which should have a positive
effect on export-oriented economies such as Korea. Another explanation
for this is that the strength in the local economy provides the private
sector with the financial resources to intensify their efforts to expand in
foreign markets. Positive Japanese GDP growth causes Korean NX to fall.
This may be surprising, as we could very well expect Japan to buy more
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Korean goods, in this case, and boost Korean NX. However, the same way
that the strength in Korean economy could lead its private sector to
intensify its export policies, strength in Japanese economy may lead it to
compete more intensely in global markets and attempt to take market
share away from Korean exporters. For example, both countries are home
to major electronics companies that compete globally, and companies
from both countries tend to introduce their newest products locally before
exporting them to foreign markets.
Although the NEER, yen/dollar rate, and U.S. GDP are not statistically
significant, they have the correct signs. Similar to the won/dollar rate, a
depreciation of the NEER should have a positive influence on NX. As for
the yen/dollar rate, a depreciation of the yen versus the dollar leads to
cheaper Japanese goods abroad, and once again we see the substitution
effect, as foreigners find Japanese goods more attractive than Korean
ones. The U.S. GDP growth has a positive sign, as expected, but is the
only one of the three GDP variables included that is insignificant. This is
at first surprising. However, the U.S., being such an enormous economy,
naturally has many trade partners, and Korea usually follows in the
bottom three of the top ten total trade partners. In 2009, Korea
accounted for $67.88 billion of U.S. trade, compared to $429.64 billion
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with Canada, U.S.s top partner13. Intuitively, for every new dollar of U.S.
GDP, not a large enough portion goes to Korean trade to make this
variable significant.
The results our estimation of REG2 appear in Table 3.
Table 3: REG2
As can be seen, the estimated coefficients of three variables are
statistically significant: Korean stock returns, Korean GDP growth (not
lagged), and the volatility of the NEER. Korean stock returns, naturally,
have a positive effect on NPI growth. The reasoning is intuitive, as higher
returns in Korea attract more investors, thereby increasing NPI. Korean
GDP growth also has a positive effect on NPI. This variable was not
13 http://www.census.gov/foreign-trade/top/
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lagged because NPI should be more responsive to current economic
conditions. If investors sense that the Korean economy is doing well, then
we should expect net portfolio inflows to increase. Lastly, we see that our
NEER volatility index has a negative effect on NPI. Note that NEER is
traded weighted and includes other currencies besides dollar. In general,
exchange risk and uncertainty naturally has a negative effect on capital
flows as hedging this risk on regular basis would be costly. If the NEER is
highly volatile, and if it is difficult or costly to hedge exchange risk,
investors will shy away from investing in Korea.
As for the insignificant variables, the U.S. stock returns and the interest
rate differential have the expected signs. As the U.S. stock returns
increase, investors who would otherwise invest in Korea might relocate
their assets to the U.S. At first glance, we might expect a higher interest
differential to attract investors to Korea, as it might signal higher returns.
However, me must bear in mind that we are comparing discount rates,
which are set by the central bank. Investors may view a large interest
rate differential as an inflation fear, and therefore reduce their allocations
to Korean stock market. The sign on Korean stock volatility is puzzling, as
we would expect higher volatility to cause investors to shy away. One
can argue that because of the relationship between risk and return,
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investors may view current high levels of volatility as a sign of higher
future returns.
III. Conclusion
The goal of this paper was to show the influences of two large AEs on an
East Asian EME. First, we provided empirical evidence with regard to the
strength of financial linkages between Korea and the U.S. and Japan. We
were able to show that these financial linkages are strong and that they
became even stronger during the recent financial crisis. Our results
indicate that AEs have major influences on the performance of Koreans
economy.
We empirically examined the factors that affect trade and capital flows
between Korea and its trading partners. Concerning the trade flow, most
of our initial conjectures seem to have held. The strength of Koreas
exchange rates, the won/dollar and NEER, both are important to net
exports. Also, as previous literature, notably McKinnon (2004), notes,
positive changes in Japan, regarding either GDP or the exchange rate,
should have negative effects on Koreas position. Concerning our results
regarding capital flows, we confirmed that increased exchange risk tends
to reduce the flow of capital and that strong performance by the local
stock market is an important factor in attracting foreign capital.
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However, stock market volatility does not appear to be major negative
factor in this area.
The period of study covered by this paper includes the decade following
the Asian crisis of the 90s. We also captured data from the beginning of
the most recent financial crisis. As said crisis appears to be winding to its
eventual end, similar research on the periods of recession might very well
yield interesting results. Likewise, over this last decade, China has finally
surpassed Japan as the second largest economy in the world. If a paper
of this sort were to be undertaken again, it would requisite to include
China in the newer data.
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