Journal


Title   Forecasting on Commodity Derivatives Market with Special Reference to Gold and Silver
Author's Name   Sridhar L S, Sumathy M, Sudha N and Charles Ambrose A
ISSN   0974-7281
Page(s)   1-13
Volume No.   8
Issue Month   January 2016
Keywords   Forecasting, Commodity market, ARIMA, Gold, Silver.
Abstract   This research attempts, to forecast the commodity market through the frame general equation. The data for the study consists of four month’s contract futures prices and spot prices. To forecast the prices, we applied ARIMA model. The ARIMA model fit the lags (p, d, q) 2 1 3 model for Futures (Gold) and ARIMA (p, d, q) 2 1 2 model for Spot (Gold), Futures (Silver) and Spot (Silver) and the standard error lies within the accepted limits, so the model is more appropriate one.



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