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Cusum Test For Structural Break (r3)

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6 0.0806

12 0.0063

18 0.0022

No serial correlation or autocorrelation exists

run Residuals of the Model) -

Chart 2: CUSUM Test (on Short

CUSUM analysis (or cumulative sum of residual test) is an important tool in econometric modeling. It is employed to tackle diagnostic problems related to parameter instability. From Chart 2 above representing CUSUM analysis, existence of parameter (short-run and long-run parameters) stability is confirmed, the short-run residuals lying within the lower and upper boundaries. As a whole, the predictive model developed from this study can be considered credible since no major diagnostic shortcoming were met in the tested model.

Table 14

Simple Impulse Response by Variable

Variable  

Response\Impulse 

  Lag       PEX      EGX 1         1.14128         0.00048

2         1.04910         0.00073 3         0.92539         0.00960  4         0.81123         0.00113  5         0.71622         0.00127  6         0.63915         0.00138  7         0.57729         0.00147  8         0.52777         0.00154  9         0.48819         0.00160  10        0.45655         0.00164  

c

-40 -30 -20 -10 0 10 20 30 40

time

0 10 20 30 40 50 60 70 80 90 100 110 120 130 140 150 160 170 180

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11        0.43128         0.00168  12        0.41108         0.00171  13        0.39494         0.00173  14        0.38205         0.00175  15        0.37174         0.00177  16        0.36351         0.00178  17        0.35693         0.00179  18        0.35168         0.00180  19        0.34748         0.00180 20        0.34412         0.00181 EGX  

 1       ‐29.12128         0.67841 2        ‐6.08465         0.70736 3        11.25151         0.65837  4        28.30599         0.63764  5        41.92434         0.61643  6        53.02835         0.60067  7        61.90455         0.58779  8        69.01228         0.57757  9        74.69200         0.56938  10       79.23123         0.56284  11       82.85816         0.55762  12       85.75617         0.55345  13       88.07170         0.55011  14       89.92183         0.54745  15       91.40009         0.54532  16       92.58123         0.54362  17       93.52496         0.54226  18       94.27901         0.54117  19       94.88150         0.54030  20       95.36290         0.53900

Table 15

Variance Decomposition by Variable

   Variable  Lead  PEX  EGX

0.00000   1.00000

  1

  PEX

    2  0.98267  0.01733

0.03768   0.96232

  3

 

   4  0.93577  0.06423

   10  0.74139  0.25862

   20  0.52385  0.47615

   

EGX   PEX

  Lead

  Variable

   EGX  1  0.00103  0.99897

0.99776   0.00224

  2

 

   3  0.00170  0.99830

   4  0.00235  0.99765

   10  0.03152  0.96848

   20  0.08223  0.91777

   

 

CONCLUSION

The empirical findings from this study have proved that both PEX and EGX are cointegrated.

However, there is no significant short-term dynamic between the two markets indexes as shown by Granger Causality test. Analysis of dynamic interactions over the post-sample period indicated that PEX is the most endogenous of all. This is in line with our earlier expectation that performance of PEX would depend upon the movements in EGX. It is quite reasonable to argue the importance of an economic indicator such as market index in explaining the direction of an economic growth. Having known the equilibrium relationship between PEX and EGX, policy makers should devise an effective

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approach in rejuvenating economic activities. Similarly, stock traders and value investors should use this piece of information to come out with a trading strategy that can protect value of their investment portfolio. CUSUM analysis in depicted in Chart 2 suggests that both short-run and long-run parameters are stable over the study period.

It is now evident that the Arab countries, particularly the neighboring ones like Egypt and Jordan, play vital roles in supporting the growth of Palestinian economy. Next to Amman Stock Exchange (ASE), EGX does exert spillover effect on the Palestinian economy. The results attained from this study clearly show the mutual benefits derived from international trade and portfolio investment involving the two countries. In particular, economic prosperity in Egypt will undoubtedly help boost Palestinian economy as the two countries share national borders, resources, language, culture and relatively same market structure. Moreover, the economic systems in Egypt and Palestine are mostly based on market economy with little government intervention. Hence, regional economic cooperation has to be improved between the two countries, which in turn help sustain long term economic growth.

The results from diagnostic tests are free from major drawbacks and support the adoption of the suggested estimation model in the study. Interestingly, the empirical results are also consistent with earlier studies. In a nutshell, the evidence presented here confirms the intuition (and also empirical evidence) that performances of regional stock markets are mutually dependent. It is strongly recommended that future research should incorporate other regional markets such as Turkey and Israel.

The study urges both Palestinian and Egyptian governments to review their respective foreign policy and emphasize on beefing up bilateral trades among themselves. The fact that business globalization is inevitable, devising an effective and dynamic policy is of utmost importance in maintaining regional economic prosperity in Middle East.

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