Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/1213
Title: An Empirical Evidence of Impact of Interest Rates, Inflation and GDP on Spot Commodity Index (COMDEX)
Authors: P. Sri Ram
B. Ramesh
Keywords: COMDEX
Interest Rates
Inflation and GDP
Issue Date: 2016
Publisher: BIMS Journal of Management
Abstract: The study has been done in order to analyze the degree of relationship between commodity spot index prices and the major macro - economic factors i.e. Interest rates, Inflation and GDP (Gross domestic product) and to know the overall impact of all this variables i.e. Interest rates, Inflation and GDP on Commodity spot Index (Comdex) in India is done. The commodity Index spot prices are driven by many macroeconomic factors, in this study the degree of macro-economic factors i. e. inflation, interest rates, GDP, and its effect 011 commodity Index spot prices is analyzed. Seco11dly, the volatility impact of these factors 011 Commodity spot Index (Comdex) is also examined. In order to find out significance relationship and impact of selected macro economic variables .i.e. GDP, Interest Rate, Inflation 011 Spot Commodity Index (COMDEX), Regression Analysis have been used and regression model is developed to know the impact of each variable 011 Spot Commodity Index (COMDEX). The study also focuses on developing Model to forecast GDP, Interest Rate by using AR/MA technique where in unit root test was run by using (A ugmented Dickey-Fuller Test) also by considering the first difference in order to make the data normal and ARIMA model 111ere develop through correlogram at IO days lag. Forecasting is done for commodity spot index and interest rates because both this variable was higlzly related and influential. Best forecasting model is selected based 011 high R Square and 10111 AIC value. And the study sho111s the results that there is a high negative correlation between commodity index and GDP and Comdex spot and interest rate sho111s a positive relationship. The volatility impact of these factors is high as the value tend to increase or decrease 111ith slight volatility movement.
URI: http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/1213
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