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C: FINANCE1ZF3X
This paper examines the long term statistical relationship of commodity future prices with equity prices using various tools including Augmented Dickey Fuller Test, Vector Auto Regression and Johansen’s Cointegration technique. The paper also investigates the short term dynamics of prices by testing for the existence and direction of inter-temporal Granger-causality between the indices. The analysis shows that there is no long term cointegration between the commodity future prices and equity prices therefore, an investor with long term investment horizon would benefit by including commodity futures to a traditional portfolio.
Y. Bansal. 2014. \u201cCo-Integration and Causality between Equity and Commodity Futures: Implications for Portfolio Diversification\u201d. Global Journal of Management and Business Research - C: Finance GJMBR-C Volume 14 (GJMBR Volume 14 Issue C5): .
Crossref Journal DOI 10.17406/GJMBR
Print ISSN 0975-5853
e-ISSN 2249-4588
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Total Score: 103
Country: India
Subject: Global Journal of Management and Business Research - C: Finance
Authors: Y. Bansal, S. Kumar, P. Verma (PhD/Dr. count: 0)
View Count (all-time): 126
Total Views (Real + Logic): 4385
Total Downloads (simulated): 2208
Publish Date: 2014 10, Wed
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This paper examines the long term statistical relationship of commodity future prices with equity prices using various tools including Augmented Dickey Fuller Test, Vector Auto Regression and Johansen’s Cointegration technique. The paper also investigates the short term dynamics of prices by testing for the existence and direction of inter-temporal Granger-causality between the indices. The analysis shows that there is no long term cointegration between the commodity future prices and equity prices therefore, an investor with long term investment horizon would benefit by including commodity futures to a traditional portfolio.
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