IDEAS home Printed from https://ideas.repec.org/a/ags/aerrae/58459.html
   My bibliography  Save this article

Is Futures Market Mitigating Price Risk: An Exploration of Wheat and Maize Market

Author

Listed:
  • Singh, N.P.
  • Kumar, Ranjit
  • Singh, R.P.
  • Jain, Praveen Kumar

Abstract

Instability of commodity prices has always been a major concern of the producers as well as the consumers in an agriculture-dominated country like India. Farmers in a bid to avert the price risk often tend to go for distress sale and thereby reduce the potential returns. In order to cope up with this problem, futures trading has emerged as a viable option for providing a greater degree of assurance on the price front. Thus, futures markets serve as a risk -shifting function. In the present study, an attempt has been made to look into the mechanism of movement of spot and futures prices for two important food crops in Indian agriculture. The Augmented Dickey Fuller (ADF) test has been used for both the crops to check the stationarity of the time series data. Most of the series have been observed to follow the stationary pattern at the first difference. The cointegration test has been attempted to find out whether there exists a longrun relationship between spot and futures prices of various contract months for maize and wheat crops. However, there exists a short run disequilibrium between these two. It has been observed that the futures contract behave in an expected manner and there exists a mechanism for long-run equilibrium in the maize as well as wheat crops. This phenomenon of price convergence for both maize and wheat crops clearly states that the farmers are mitigating price risk as spot prices and future prices converges.

Suggested Citation

  • Singh, N.P. & Kumar, Ranjit & Singh, R.P. & Jain, Praveen Kumar, 2005. "Is Futures Market Mitigating Price Risk: An Exploration of Wheat and Maize Market," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 18(Conferenc).
  • Handle: RePEc:ags:aerrae:58459
    DOI: 10.22004/ag.econ.58459
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/58459/files/NP-Singh.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.58459?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    2. Chung‐Hua Shen & Lee‐Rong Wang, 1990. "Examining the validity of a test of futures market efficiency: A comment," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 10(2), pages 195-196, April.
    3. H. Holly Wang & Bingfan Ke, 2005. "Efficiency tests of agricultural commodity futures markets in China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 49(2), pages 125-141, June.
    4. Peggy Swanson, 1998. "Spot and forward exchange rates as predictors of future spot rates: trends in exchange market value and the contribution of new information," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 22(2), pages 129-138, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sinha, Rajesh Kumar & Kumar, Ranjit, 2010. "Innovative Technologies, Institutions and Policies for Successful Value Chains for Tur Farmers: A Case Study of NCDEX Spot," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 23(Conferenc), November.
    2. Sendhil, R. & Kar, Amit & Mathur, V.C. & Jha, Girish K., 2013. "Price Discovery, Transmission and Volatility: Evidence from Agricultural Commodity Futures," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 26(1), June.
    3. Rahul Kumar Singh, 2023. "Efficiency of Wheat Futures across APMC Mandis," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 21(3), pages 681-701, September.
    4. Sendhil, R. & Ramasundaram, P., 2014. "Performance and Relevance of Wheat Futures Market in India – An Exploratory Analysis," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 174839, Agricultural and Applied Economics Association.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nordier, Jean-Pierre, 2021. "Identifying possible misspecification in South African soybean oil future contracts," Research Theses 334756, Collaborative Masters Program in Agricultural and Applied Economics.
    2. Singh, Naveen Prakash & Shumugam, V. & Garg, Sanjeev, 2009. "How Efficient are Futures Market Operations in Mitigating Price Risk? An Explorative Analysis," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 64(3), pages 1-9.
    3. Wani, M.H. & Paul, Ranjit Kumar & Bazaz, Naseer H. & Manzoor, M., 2015. "Market integration and Price Forecasting of Apple in India," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 70(2), pages 1-13.
    4. Mohanty, Sunil K. & Mishra, Sibanjan, 2020. "Regulatory reform and market efficiency: The case of Indian agricultural commodity futures markets," Research in International Business and Finance, Elsevier, vol. 52(C).
    5. Yang Hou & Steven Li, 2013. "Price Discovery in Chinese Stock Index Futures Market: New Evidence Based on Intraday Data," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 20(1), pages 49-70, March.
    6. Ge, Yuanlong & Wang, H. Holly & Ahn, Sung K., 2008. "Implication of Cotton Price Behavior on Market Integration," 2008 Conference, April 21-22, 2008, St. Louis, Missouri 37623, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    7. Yuanlong Ge & Holly H. Wang & Sung K. Ahn, 2010. "Cotton market integration and the impact of China's new exchange rate regime," Agricultural Economics, International Association of Agricultural Economists, vol. 41(5), pages 443-451, September.
    8. Liu, Qingfu & Wong, Ieokhou & An, Yunbi & Zhang, Jinqing, 2014. "Asymmetric Information and Volatility Forecasting in Commodity Futures Markets," Pacific-Basin Finance Journal, Elsevier, vol. 26(C), pages 79-97.
    9. Pesaran, M. Hashem & Shin, Yongcheol & Smith, Richard J., 2000. "Structural analysis of vector error correction models with exogenous I(1) variables," Journal of Econometrics, Elsevier, vol. 97(2), pages 293-343, August.
    10. Meghan Millea, 2002. "Disentangling the wage-productivity relationship: Evidence from select OECD member countries," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 8(4), pages 314-323, November.
    11. UÄŸur Korkut Pata & Harun Terzi, 2016. "Testing for Symmetric and Asymmetric Causality between FDI and Foreign Trade in Turkey," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 19(61), pages 47-70, September.
    12. Chia-Lin Chang & Michael Mcaleer, 2012. "Aggregation, Heterogeneous Autoregression And Volatility Of Daily International Tourist Arrivals And Exchange Rates," The Japanese Economic Review, Japanese Economic Association, vol. 63(3), pages 397-419, September.
    13. Geweke, John, 1994. "Priors for Macroeconomic Time Series and Their Application," Econometric Theory, Cambridge University Press, vol. 10(3-4), pages 609-632, August.
    14. Maryam Rezaeian & Martin George Wynn, 2021. "Enterprise Resource Planning Systems in Iran: A Profile of the Behko Software House," International Journal of Asian Business and Information Management (IJABIM), IGI Global, vol. 12(3), pages 1-13, July.
    15. Hamdi, Helmi & Sbia, Rashid, 2013. "Dynamic relationships between oil revenues, government spending and economic growth in an oil-dependent economy," Economic Modelling, Elsevier, vol. 35(C), pages 118-125.
    16. Costas Karfakis, 2003. "Exchange rate determination during hyperinflation: the case of the Romanian lei," Applied Financial Economics, Taylor & Francis Journals, vol. 13(6), pages 473-476.
    17. D. Hristu-Varsakelis & C. Kyrtsou, 2008. "Evidence for Nonlinear Asymmetric Causality in US Inflation, Metal, and Stock Returns," Discrete Dynamics in Nature and Society, Hindawi, vol. 2008, pages 1-7, May.
    18. Melike E. Bildirici, 2020. "Environmental pollution, hydropower and nuclear energy generation before and after catastrophe: Bathtub‐Weibull curve and MS‐VECM methods," Natural Resources Forum, Blackwell Publishing, vol. 44(4), pages 289-310, November.
    19. Ying Kou & Liming Liu & Meifeng Luo, 2014. "Lead-lag relationship between new-building and second-hand ship prices," Maritime Policy & Management, Taylor & Francis Journals, vol. 41(4), pages 303-327, July.
    20. Enrique Ospina, 1998. "Importaciones Agropecuarias: A qué Responden?," Borradores de Economia 107, Banco de la Republica de Colombia.

    More about this item

    Keywords

    Agricultural and Food Policy;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:aerrae:58459. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aeraiea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.