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MACRONUTRIENT STATUS AND THEIR SPATIAL VARIABILITY IN SOILS OF MELENG WATERSHED OF JORHAT DISTRICT, ASSAM – A GIS APPROACH.

This paper determined dominant factors that affect stock prices in Rwanda. It specifically determined factors that affect stock prices in Rwanda and the direction of causality between stock prices and its determinants employing quarterly data spanning from 2011-2015. After identifying all the variables to be of the same order i.e. I(1), this study employed the Johnsen cointegration test to determine long run relationships and the Granger technique to determine the direction of causal relationship between stock prices and its factors in Rwanda.



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Keywords: Spatial distribution , global positioning system (GPS) , watershed , geographic information system (GIS) , correlation.

ISSN: 2320-5407

EISSN: 2320-5407

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