International Research Journal of Agricultural Economics and Statistics

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Futures Trading of Maize in India:A Tool for Price Discovery and Risk Management


Affiliations
1 Department of Agricultural Economics, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi (U.P.), India
     

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The historic green revolution, which targeted at increasing crop yield, established India as one of the world’s biggest agricultural producer. Although India is an agricultural economy, farmers are not getting remunerative prices for their crops because of price fluctuation and market imperfections prevailed all over the country. Futures trading, as a tool for price discovery and risk management can pave the way for improving such market imperfections. The present study was conducted to examine the impact of futures trading on spot market of maize in India. The secondary data of maize spot and futures prices for the year 2005 to 2015 were collected from NCDEX. Johansen cointegration test was employed to access the relationship between futures and spot prices of maize. Further the direction of relationship was studied by using granger causality test and to investigate the long run causality and speed of price adjustment VECM was employed. The study found that spot and futures prices were independent and there was unidirectional causality between them. Further, results unveiled the long run causality from futures to spot market and it was the spot market which adjust itself to attain the long run equilibrium. The study concluded that futures are the market where framer can hedge their price risk and can explore the maximum possible profit from volatile prices. Therefore, policy measures should be adopted to bring the more agricultural crops under the network of futures trading.

Keywords

Cointegration, Futures Trading, Granger Causality, Price Discovery, VECM.
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  • Ali, J. and Gupta, K. B. (2011). Efficiency in agricultural commodity futures markets in India: Evidence from Cointegration and Causality Tests. Agric. Finance Rev., 71 (2): 162-178.

  • Beag, F. A. and Singla, N. (2014). Cointegration causality and impulse response analysis in major apple markets of India. Agric. Econ. Res. Rev., 27(2): 289-298.

  • Easwaran, R. S. and Ramasundaram, P. (2008). Whether commodity futures market in agriculture is efficient in price discovery?- an econometric analysis. Agric. Econ. Res. Rev., 21 (Conference Number): 337-344.

  • Granger, C.W.J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37(3): 424-438.

  • Paul, R. K., Saxena, R., Chaurasia, S., Zeeshan and Rana, S. (2015). Examining export volatility, structural breaks in price volatility and linkages between domestic and export prices of India. Agric. Econ. Res. Rev., 28 (Conference Number): 101-116.

  • Sendhil, R., Kar, A., Mathur, V.C. and Jha, G.K. (2013). Price discovery, transmission and volatility: Evidence from agricultural commodity futures. Agric. Econ. Res. Rev., 26 (1) : 41-54.

  • Singh, N.P., Kumar, R., Singh, R. P. and Jain, P. K. (2005). Is futures market mitigating price risk: An exploration of wheat and maize market. Agric. Econ. Res. Rev.,18 (Conference No.) : 35-46.

  • Singh, N.P., Shunmugam, V. and Garg, S. (2009). How efficient are futures market operations in mitigating price risk? An explosive analysis. Indian J. Agric. Econ.,64(3): 324-332.

  • Bera, S. (2017). Farmers are using futures contracts to counter price risks. Livemint (E-Parer). Retrieved from httpps://www.livemint.com.

  • FMC report Retrieved from http://www.fmc.gov.in/writereaddata/Links/Fair%20AR%202013-145009754871 .pdf.

  • Mahajan, N. and Singh, K. (2015). A beginner@guide to Indian commodity futures market. Madhayam, New Delhi. Retrieved from http://www.madhyam.org.in.

  • Mahajan, V. (2016). Director’s teview 2015-16: ICAR-Indian Institute of Maize Research, New Delhi, a report prepared on Annual Maize workshop held at Bangalore. Retrieved from http://www.iimr.res.in/ documents/Directors%20Review % 202016.pdf.


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  • Futures Trading of Maize in India:A Tool for Price Discovery and Risk Management

Abstract Views: 242  |  PDF Views: 0

Authors

Rekha Rani
Department of Agricultural Economics, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi (U.P.), India
P. K. Singh
Department of Agricultural Economics, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi (U.P.), India

Abstract


The historic green revolution, which targeted at increasing crop yield, established India as one of the world’s biggest agricultural producer. Although India is an agricultural economy, farmers are not getting remunerative prices for their crops because of price fluctuation and market imperfections prevailed all over the country. Futures trading, as a tool for price discovery and risk management can pave the way for improving such market imperfections. The present study was conducted to examine the impact of futures trading on spot market of maize in India. The secondary data of maize spot and futures prices for the year 2005 to 2015 were collected from NCDEX. Johansen cointegration test was employed to access the relationship between futures and spot prices of maize. Further the direction of relationship was studied by using granger causality test and to investigate the long run causality and speed of price adjustment VECM was employed. The study found that spot and futures prices were independent and there was unidirectional causality between them. Further, results unveiled the long run causality from futures to spot market and it was the spot market which adjust itself to attain the long run equilibrium. The study concluded that futures are the market where framer can hedge their price risk and can explore the maximum possible profit from volatile prices. Therefore, policy measures should be adopted to bring the more agricultural crops under the network of futures trading.

Keywords


Cointegration, Futures Trading, Granger Causality, Price Discovery, VECM.

References