Abstract
This study focuses on the issue of
dynamic reactions between sector-specific indices of Bursa
Malaysia
and macroeconomic variables. The traditional variable under observation in
analyzing stock market performance has been an aggregate stock market index.
However, the application of an aggregate index could lead to misleading
interpretation on the actual performance of each sector in Bursa
Malaysia.
It is believed that variations in macroeconomic variables could have different
effects on sector-specific indices in terms of magnitude and persistence.
Therefore, the main objective of this study is to analyze the long-run dynamic
interaction between sector-specific indices of Bursa
Malaysia
and macroeconomic variation by proposing certain model for each sectoral index.
Specifically, the proposed models refer to the periods of before and after the
1997 financial crisis as well as a full period model with a dummy variable. All
of the models emphasize on the aspects of magnitude, persistence and direction
of the responses by sectoral indices due to shocks in macroeconomic variables.
The sectoral indices of Bursa Malaysia selected for this study are namely,
Construction, Plantation,
Consumer Product, Finance, Industrial Product, Mining, Hotel, Property and
Trading and Services. The macroeconomic variables are represented by real
economic activity, interest rate, inflation rate, money supply and exchange
rate. The monthly data series of the macroeconomic variables and stock market
indices are obtained for the period from 1993 to 2006. In the analysis, the aspects of structural
stability and application of a dummy variable have been taken into consideration
so as to develop accurate and stable models. The application of a lag
operator in analyzing the relationship between the variables has also been
considered. This study shows that most of the movements of the sectoral indices
of Bursa Malaysia have been explained by
variations in macroeconomic variables in the long-run. This study has also
identified various trends of responses among the sector-specific indices
towards the innovation in macroeconomic variables. The results suggest that
unanticipated changes in macroeconomic variables could lead to similar patterns
in some of the sector-specific indices with the effects differing mainly in
terms of magnitude as well as persistence of the responses that occur following
the shocks.
Keywords: Dynamic reactions, sector-specific indices,
cointegration, vector error correction
model, impulse response functions and variance decompositions
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