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@article{170529,
        author = {Sajan K and Dr. Sajikumar K B},
        title = {Estimating Power of Commodity Derivative Trade in Defining the ‘Gross Value Addition’ of India},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {7},
        pages = {1192-1196},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=170529},
        abstract = {This paper tries to explore the relationship between commodity derivative trading and the GVA. That is whether or not commodity derivative trading could explain GVA of a country. The study also aims to assess, the extent of such relationships. This paper assesses, how much GVA in an economy could be explained by the commodity derivative trading. The commodity derivative market is assumed to be an efficient market in which all information are discounted and future price is discovered based on such information. The commodity prices are assumed to have an effect on countries GVA because it affects the consumption. Availability of commodities, its supply, demand etc are few important factors that affect the commodity prices and its consumption in a country. Effects of such variables are discounted in the commodity derivative market. Thus it is assumed that the commodity derivative market could explain GVA of the country to a considerable extent. Further it is assumed that various asset classes in the commodity derivative market have varying effect on GVA. The analysis was carried out using OLS regression estimation.},
        keywords = {Commodity Derivative Market, GVA, OLS Regression, Time Series.},
        month = {December},
        }