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The history of commodity derivative market in India dates back to the ancient times, but the first organized market was established in 1875. However, by mid 1960s government took a drastic step by banning derivatives trade altogether. The commodity derivative market remained virtually absent in next four decades and it made the restart only in early 2000s. Since its reintroduction it is thriving and the current trend shows strong growth potential of the market, although, the actual growth trajectory will depend upon the attitude of the policy makers and the efficiency of the regulatory mechanism. Investing directly in the agricultural products and commodities gives the investor a share in the commodity components of the country's production and consumption. Money managers and average investors, however, usually prefer commodity derivatives rather than commodity themselves. The average investor does not want to store grains, cattle, crude oil or metals. A common investment objective is to purchase indirectly those real assets that should provide a good hedge against inflation risk.
Against the well-established fact that the usefulness and suitability of futures trading in developing the underlying agricultural commodity market, especially in agriculture based country like India are been questioned by various bodies. Through this work it has been analysing the role of futures trading on agricultural commodities. The effect of futures trading may be of two kinds, that is by way of hedging the price risk and the other way is through price discovery. The data collected for the analysis are the daily price history of spot and futures of five major agricultural commodities (Castor Seed, Chana, Chilli, Jeera, and Wheat) for a period of 7 years started from 2007 to 2014. Here it is revalidated the relationship between price movements of agricultural commodity futures and underlying spot prices by applying econometric analysis tools like Unit Root Test, and Engel-Granger test of Cointegration. The empirical findings proved that an existence of interrelationship between futures price movement and respective underlying spot prices in Indian agricultural commodity market.
Journal of Business Management Social Sciences Research, 2015
India, being an agro-based economy, has markets for most of the agro-based commodities. India is the largest consumer of gold in the world, which implies a huge market for the yellow metal. India has huge spot markets for all these commodities. For instance, .Indore has a huge market for soya, Ahmedabad for castor seeds and Surendranagar for cotton, etc. Commodity futures trading in India is almost as old as that in the united states with India's first organized futures market. Bombay Cotton Trade Association, being set up 1875. Futures market in bullion was inevitable and began to emerge in Mumbai in 1920. And there are three major electronic commodity exchanges for the commodity trading in India, they are: National Multi-Commodity Exchange Limited (NMCE), Multi Commodity Exchange of India Limited (MCX) and The National Commodity and Derivatives Exchange Limited (NCDEX).
Commodities have played a major role in shaping the international economy by affecting the lives and livelihoods of people. Particularly, in India Shortage of critical commodities sparked huge public outcry and social unrest. Price volatility which arises from bad weather irregular production and harvests as well as from swings in demand and supply is one of the key problems associated with commodity. Volatility evokes not only yield risk but also price risk for both producers and consumers of the commodity. To manage these price volatility derivative products i.e. commodity futures are being used by farmers, consumers, firms, exporters, importers etc. to reduce the price risk. Commodity derivative market particularly, commodity futures is recognized as one of the important instrument that has been devised to achieve price risk management. In this context, an attempt has been made in the paper to evaluate the hedging effectiveness of commodity derivative market in the management of price risk with reference to the raw jute derivative market in India. The study utilized daily futures price and spot price data of Raw Jute provided by National Multi Commodity Exchange (NMCE) during the period 2010-14. Trend of spot and future prices in raw jute was analyzed by using descriptive statistical measures. To analyses the hedging effectiveness of the raw jute futures contract minimum variance hedge ratio has been used. Empirical evidence suggests variation in spot and futures prices of raw jute are higher however, an equal trend is found between the variations of spot and futures prices. The results of this study are useful for various stakeholders’ of agricultural commodity markets such as producers, traders, commission agents, commodity exchange participants, regulators and policy makers.
The purpose of this paper is to provide an overview of Agricultural Commodity Futures in India by taking into account the variability of empirical results of some selected studies on agricultural commodity futures. This paper is based on review of empirical results of studies on agricultural commodity futures for the 2001-2013 periods. These studies have been classified in three sections: Growth and performance of the commodity futures market, relationship between agricultural commodity futures market and spot market and price risk management through agricultural commodity futures. The paper shows the growth in commodity futures market along with identification of problems that are affecting the performance of agricultural commodity futures in India.
This paper has examined the efficiency of futures trading in wheat, chickpea, maize and barley in terms of price transmission, price discovery and extent of volatility in prices. Wheat and barley have exhibited phenomenal growth coupled with high instability in futures trade quantity and value. Except for barley, futures and spot market prices have been found integrated. However, the level of integration, in terms of price transmission and long-run equilibrium, was most prominent in maize, followed by wheat and chickpea. Price discovery, one of the major benefits of futures trading, and the dominance of futures market in the process of price discovery have been clearly established. The study has indicated that futures are more efficient in price discovery of wheat and maize. Analysis of price volatility has revealed its persistence in spot prices though none of the selected commodities has exhibited an 'explosive' pattern. Further, the study has identified that farmers are not able to participate in the futures market owing to the small-scale production system prevailing in India.
In 2003, trading of commodity futures shifted from single commodity, regional exchanges to national exchanges that trade multiple commodities. This paper examines price discovery and hedging effectiveness of commodity futures after this change and concludes that, on average, futures prices do discover information relatively efficiently, but helps to manage risk less efficiently. The paper uses the viewpoint of the hedger to conjecture what factors may improve hedging effectiveness. These include high settlement costs caused by few and widely dispersed delivery centers and an unreliability of warehouse receipts, a mismatch between the grade specified in the futures contract and what is available for delivery in the market, and disruptions caused by various policy interventions in both commodities spot and futures markets.
The concepts of market efficiency and unbiasedness are difficult to distinguish empirically. Market efficiency implies that future prices will equal expected future spot prices plus or minus a risk premium, while futures prices will be unbiased forecasters of futures spot prices only if the markets are both efficient and have no risk premia. The hypothesis that futures prices are unbiased forecasters of spot prices is thus a joint hypothesis of market efficiency and risk neutrality. Further, a market may be efficient and unbiased in the long run, but may exhibit short term inefficiencies.
SSRN Electronic Journal, 2000
Purpose -The purpose of this paper is to study the market efficiency, unbiasedness and the direction of causality among four agricultural commodity futures contracts for a forecasting horizon of 28 days, 56 days and 84 days which are traded at National Commodity and Derivatives Exchange Ltd. Design/methodology/approach -To analyse the efficiency of futures market in Indian scenario, we focus on maize, chickpea, soybean and wheat which are among the most important agricultural commodities traded in India. In the first step, Augmented Dickey-Fuller test and nonparametric Phillips-Perron approaches have been used to examine the stationarity of all futures and spot price series. After testing the presence of cointegration in futures and spot series using Johansen's Cointegration approach, the joint restrictions of β 0 ¼ 0, β 1 ¼ 1 and β 1 ¼ 1 on the cointegrating vectors were imposed to test whether the futures price is an unbiased predictor of spot at contract maturity. In the next step, linear Toda and Yamamoto (1995) and the nonparametric Diks and Panchenko causality tests were applied to examine the direction of causality. Finally, nonlinear test were applied on the vector error correction model (VECM) residuals to investigate whether any remaining causality is strictly nonlinear in nature. Findings -The results of cointegration tests between futures and spot prices of the selected agricultural commodities indicated a long term relationship do exist in three out of four futures contracts. However, the Wald tests results on the cointegrating vectors indicate markets as inefficient and biased. Further, analysis of short-term relationship using alternate tests of causality do not give consistent results for same commodity series indicating that results may vary due to alternate measures and specifications. Finally, if we consider the results of Diks-Panchenko test on the filtered VECM-residuals, results provide evidence that if cointegration is taken into account; neither spot nor future leads or lags the other consistently.
Purpose -The purpose of this paper is to study the market efficiency, unbiasedness and the direction of causality among four agricultural commodity futures contracts for a forecasting horizon of 28 days, 56 days and 84 days which are traded at National Commodity and Derivatives Exchange Ltd. Design/methodology/approach -To analyse the efficiency of futures market in Indian scenario, we focus on maize, chickpea, soybean and wheat which are among the most important agricultural commodities traded in India. In the first step, Augmented Dickey-Fuller test and nonparametric Phillips-Perron approaches have been used to examine the stationarity of all futures and spot price series. After testing the presence of cointegration in futures and spot series using Johansen's Cointegration approach, the joint restrictions of β 0 ¼ 0, β 1 ¼ 1 and β 1 ¼ 1 on the cointegrating vectors were imposed to test whether the futures price is an unbiased predictor of spot at contract maturity. In the next step, linear Toda and Yamamoto (1995) and the nonparametric Diks and Panchenko causality tests were applied to examine the direction of causality. Finally, nonlinear test were applied on the vector error correction model (VECM) residuals to investigate whether any remaining causality is strictly nonlinear in nature. Findings -The results of cointegration tests between futures and spot prices of the selected agricultural commodities indicated a long term relationship do exist in three out of four futures contracts. However, the Wald tests results on the cointegrating vectors indicate markets as inefficient and biased. Further, analysis of short-term relationship using alternate tests of causality do not give consistent results for same commodity series indicating that results may vary due to alternate measures and specifications. Finally, if we consider the results of Diks-Panchenko test on the filtered VECM-residuals, results provide evidence that if cointegration is taken into account; neither spot nor future leads or lags the other consistently.
International Journal of Accounting and Financial Reporting, 2012
In this paper, the price discovery relationship for ten agricultural commodities has been examined. Price discovery is confirmed for all commodities except Turmeric. Price discovery results are encouraging given the nascent character of commodity market in India. However the market does not seem to be competitive. The findings have implications for policy makers, hedgers and investors and will help in deeply understanding the role of futures market in information dissemination. The commodity exchanges must strengthen their surveillance system for early detection on continuous basis of anomalous trading behaviour. These markets are becoming informational mature and market regulators have taken adequate steps for market development. Forwards Market Commission (FMC) should be given adequate powers to regulate commodity market and penalise any insider trading and price manipulations. Well-organized spot markets must be developed, ensuring transparency and trading efficiency. Electronically traded spot exchanges must be developed and warehousing; testing labs as well as other eco-system linkages must be established to strengthen the derivative market trading
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