Dr.DEBESH BHOWMIK

Dr.DEBESH BHOWMIK

Saturday 4 July 2015

COINTEGRATION BETWEEN WORLD TRADE AND GOLD AND SDR



This paper was presented  in International Multidisciplinary Research Conference organised by INAAR and CVU and sponsored by Indo-Global Chamber of Commerce at MCCIA, Pune on 30th June,2015.

It is published in International Research Journal of Commerce ,Business and Social Sciences, Vol- IV,Issue-3(I),June 2015, pp-17-23  

COINTEGRATION BETWEEN WORLD TRADE AND GOLD AND SDR
 Dr. Debesh Bhowmik (International Institute for Development Studies, Kolkata)
Key Words- Cointegration, World exports, World imports, SDR, Gold
JEL-C58,F33,P45
I.                    Introduction

Prior to the inception of the Bretton Woods, the economists had been searching for a single currency for the world economy where metallic standard to key currency to multiple currency standard have been examined, yet the imbalance and international liquidity problem could not be solved. Now, IMF, some academicians and politicians  assume that if SDR be the world money for international transactions then liquidity crisis ,global imbalance and financial crises may be solved.
In this respect, we try to verify the relation between the world exports and imports with the world gold reserves and world SDR reserves during 1968-2013.

II.Methodology and Data
We used Johansen (1988) model for cointegration and Johansen (1991, 1996) model for VAR Analysis. We have taken data on world exports , imports , gold and SDR reserves from the International Financial Statistics(IMF) for the period from 1968 to 2013.Assume , x1= world export , x2= world import , y1= world gold reserve, y2= world SDR reserve.

III.The Main Econometric Observations
It is found from the double log regression model that one percent increase in world gold reserves per annum led to 9.648% decrease in world exports per year significantly during 1968-2013.But Johansen cointegration test suggests that these two are not cointegrated during 1968-2013 which is verified by the Trace statistic and λ max statistic .
From the double log regression model ,the estimated regression showed that one percent increase in world SDR reserves per year  led to 1.658% increase in world exports per year during 1968-2013.It is statistically significant . The Johansen cointegration test showed that the Trace Statistic and λ Max Statistic have one cointegrating equation with 5% significant level. Now if we use the double log multiple regression model to relate world export, world gold reserves and world SDR reserves during 1968-2013, we find that one percent increase in world gold reserves per year leads to 1.2953% increase in world export per year which is insignificant  and one percent increase in world SDR reserves per year leads to 1.663% decrease in world exports per year which is significant statistically. Its R2 is high and F statistic is significant.
Logx1= -16.70309+1.2953logy1-1.663logy2
                (-0.6080)   (0.3269)     (8.728)*
 R2= 0.656  , F= 38.162   , DW= 0.471,*=significant at 5% level.
In applying the Johansen cointegration test ,we got the values of  trace statistic and λ Max statistic which showed one cointegrating equation. The values are given in Table-1,
                  

Table-1: Cointegration test of x1,y1 & y2
Hypothesized no of CE(s)
Eigen value
Trace statistic
0.05 cv
prob
None*
0.4658
32.739*
29.797
0.0223
At most 1
0.1512
7.0322
15.494
0.5739
At most 2
0.00747
0.3077
3.84
0.5791
                                                                                    λ Max Statistic
None*
0.4658
25.7071*
21.1316
0.0106
At most 1
0.1512
6.7244
14.264
0.5222
At most 2
0.00747
0.30776
3.841
0.5791
Source-Computed by Author
The estimated VAR model of X1 , Y1, and Y2 is given below,
X1t=-72794.84+0.9916X1t-1+78.119Y1t-1+0.04809Y2t-1
           (-1.008)    (12.447)*        (78.119)        (0.5322)
   R2=0.906  , F= 122.543*
Y1t=216.4743 – 2.33E-06X1t-1+0.7741Y1t-1+9.92E-05Y2t-1
           (0.6382)     (-0.022)            (7.929)*           (0.8359)
  R2= 0.6382   ,   F= 22.347*
Y2t=52002.48+0.31648X1t-1-49.1302Y1t-1+0.7199Y2t-1
          (0.527)        (2.91)*          (-0.484)               (5.838)*
       R2=0.793   , F=48.5848* , *= significant at 5% level.AIC= 55.299  , SC=55.796  , loglikelihood=-1149.295
The VAR model is a good fit with high R2 and F. But its Impulse Response Function showed that the VAR model is quite unstable because of its divergence.
 Fig-1: The Impulse Response Functions of VAR model of x1,y1 &y2

Source-Computed by author
The unit root circle test confirmed that one root lies outside the circle and others lie inside the circle, and thus why VAR is unstable which is shown in Table -2 and Fig-2
                                                     Table-2: Values of Roots
Roots
Modulus
 1.058233
 1.058233
 0.713772 - 0.093269i
 0.719840
 0.713772 + 0.093269i
 0.719840
 Source- Computed by Author
         Fig- 2: Unit root circle

Source- Computed by author
The residual test for normality assured that null hypothesis of normality is rejected because the Skewness,Kurtosis and Jarque-Berra which are distributed as Chi-square are significant.
               
Table-3: Normality test
       component
Skewness
Chi-sq
df
prob
1
 4.200634
 42.54447
1
0.000
2
 1.139789
 8.678463
1
0.000
3
 4.079677
 41.41035
1
0.000
joint
92.63328

3
0.000
component
Kurtosis
Chi-sq
df
prob
1
 24.82540
 95.81405
1
 0.0000
2
 9.425477
 22.91993
1
 0.0032
3
 25.78465
 48.10460
1
 0.0000
joint
166.8386

3
0.000
component
Jarque-Bera



1
 138.3585

2
0.000
2
 31.59839

2
0.000
3
 89.51495

2
0.000
joint
259.4719

6
0.000
Source- Computed by author
The same econometric analysis can be applied in the world import with world gold reserves and world SDR reserves during 1968-2013.The double log linear model  between world import and world gold reserves represents that one percent increase in world reserves in gold per year induced to decrease world imports by 1.027007% significantly per year during 1968-2013.The Johansen Cointegration test suggests that Trace statistics confirmed two integrating equations but λ Max statistics confirmed one cointegrating equation.
The relation between world import and world reserves of SDR during 1968-2013 through double log regression model states that one percent increase in world SDR reserves per year leads to 1.11348% increase in world imports per year which showed statistically significant at 5% level. The Johansen cointegration test also confirmed that there are two cointegrating equations as observed by the Trace statistic and λ Max statistic.
Now the double log multiple regression among the world import, world SDR and gold reserves during 1968-2013 signifies that one percent increase in world SDR per annum leads to 1.10474 % increase in world imports per annum which was found statistically significant but one percent increase in world gold reserves per year leads to 2.30436% decrease in world imports per annum during 1968-2013 which is statistically insignificant. The estimated equation is given below.
logx2=13.2120-2.30436logy1+1.10474logy2
              (0.7480)  (-0.9046)      (9.0174)*
 R2= 0.6772  . F= 41.972*   , DW= 0.646,*= significant at 5% level.
The Johansen cointegration test suggests that the Trace statistic and λ Max statistic assured 3 cointegrating equations and they are cointegrated in the order of I(1,1).The values are given below .
                    Table-4: Cointegration test of x2,y1 & y2
Hypothesized no of CE(s)
Eigen value
Trace statistic
0.05 cv
prob
None*
0.909594
120.1075
29.797
0.000
At most 1*
0.338847
21.566
15.494
0.005
At most 2*
0.106163
4.60149
3.84
0.0319
                                                                   λ Max Statistic
None*
0.909594
98.54142
21.1316
0.000
At most 1*
0.338847
16.96459
14.264
0.018
At most 2*
0.106163
4.601498
3.841
0.0319
Source- Computed by author
The estimated VAR model of X2, Y1, and Y2 are given below,
X2t=-53592.38+1.0917X2t-1+50.4505Y1t-1+0.2843Y2t-1
            (-0.663)     (1.177)       (0.608)          (2.963)*
 R2= 0.441    , F= 9.994
Y1t=217.2006-7.83E-05X2t-2+0.7737Y1t-1+0.000103Y2t-1
          (2.296)*     (-0.072)     (7.964)*        (2.296)*
          R2= 0.638   , F= 22.35*
Y2t=6689.35+2.4565X2t-1-9.9133Y1t-1+0.806149Y2t-1
         (0.0649)   (2.076)*     (-0.093)    (6.586)*
 R2=0.772   ,  F= 43.095* , AIC=55.676  , SC= 56.172  , loglikelihood=-1157.197,*= significant at 5% level.
Again, the values of two roots lie inside the unit circle and one root which is greater than one ,lies outside the unit circle which showed that the VAR model is unstable.
        Table-5 : Values of Roots
Roots
Modulus
 1.801502
 1.801502
 0.753849
 0.753849
 0.116222
 0.116222
Source- Computed by author
Fig- 3: Unit root circle

      Source- Computed by author
The VAR model is found good fit but the Impulse Response Functions are diverging which means the VAR model is unstable. It is shown in Fig-4
            Fig- 4: Impulse response functions of VAR model of x2,y1 & y2

         Source- Computed by author
The residual test for normality showed that the Chi Square distribution of Skewness,Kurtosis and Jarque-Berra are significant which confirmed that null hypothesis of no normality is rejected. It is given in the Table-6.
        Table-6: Normality Test
       component
Skewness
   Chi-sq
df
prob
1
 2.630436
 26.46427
1
0.000
2
 1.166359
 8.993752
1
0.0027
3
 5.084170
 50.37757
1
0.000
joint

85.8356
3
0.000
component
Kurtosis
Chi-sq
df
prob
1
 20.72866
 14.09559
1
 0.0002
2
 9.470174
 22.10563
1
 0.0000
3
 31.35488
 294.9126
1
 0.0000
joint

331.1139
3
0.000
component
Jarque-Bera



1
 40.55987

2
0.000
2
 31.09938

2
0.000
3
 345.2902

2
0.000
joint
416.9495

6
0.000
Source- Calculated by Author.

IV.Conclusion
Thus, it was verified that world exports and imports are positively related with world SDR reserves  but world exports and imports are not always positively/negatively related with world gold reserves during the period of 1968-2013.World export is cointegrated with SDR but not with gold, on the other hand, world import is cointegrated with  both gold and SDR. The multivariate Johansen model showed that both world export and import are significantly cointegrated with gold and SDR.  Their VAR models were found good fit but did not satisfy the stability conditions.  

References
[1]Bhowmik,Debesh, 2003, Essays on International Money, Deep and Deep, New Delhi
[2]……………, 2014, The Euro crisis and international liquidity problems, Synergy publications, New Delhi
[3]……………,2014, A new track of reform in international monetary system, D.N.Konar and A.K.Karmakar Ed(2014)-Post reforms :Indian Economy, Regal Publications, New Delhi.
[4] Boorman,Jack T. and A.I.Card.,2011, Reform of the international monetary system,SagePublications,NewDelhi
[5]Enders,Walter.,2011,Applied Econometric Time Series.Wiley Student Edition.
[6]Engle R.F. and Granger C.W.J., 1987, Cointegration and error correction: Representation, estimation and testing. Econometrica, 55:251-276.

[7]Johansen,S., 1988,Statistical Analysis of Cointegrating Vectors. Journal of Economic Dynamics  and Control, Vol. 12,231-254.
[8]……………….,1991,Estimation of Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models, Econometrica  59,Nov,1551-80
[9]……………..,1994, The role of the constant and linear terms in cointegration analysis of nonstationary variables. Econometric Reviews,13, 205-229
[10] Johansen S., 1995, Likelihood-Based Inference in Cointegrated Vector Autoregressive Models.Oxford University Press.

[11]………….,1996, Likelihood-Based Inference in Cointegrated Vector Autoregressive Models,2nd edition, Oxford University Press.

[12]……….. and K.Juselius.,1990,Maximum likelihood estimation and cointegration with application to the demand of money. Oxford Bulletin of Economics and Statistics,52(2),169-210.
[13]I.M.F.-International Financial Statistics-Various Years.

















1 comment:

  1. An extremely well researched article. Unfortunately, I have been out of touch with the hard core basics of Econometrics and International Trade for almost 35 years to know its implications for policy makers. However, a research student specializing in International Trade will definitely find the findings useful for policy decisions and directives.

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