IDEAS home Printed from https://ideas.repec.org/a/sae/artjou/v20y2021i1p7-33.html
   My bibliography  Save this article

The Lead–Lag Relationship Between Futures and Spot Price—A Case of the Oil and Oilseed Contracts Traded on Indian Exchange

Author

Listed:
  • Suranjana Joarder
  • Diganta Mukherjee

Abstract

In India, government intervention in the agricultural derivatives market has not allowed the market to grow and become an important tool of risk management. It has always been argued that the farmers and consumers of crops in India primarily operate in the spot market, and their expectations about the future market conditions are likely to be reflected in the spot price movements. If the farmers and consumers of the crops do not participate in the derivatives market, it is not expected to work as an efficient tool of information dissemination on the underlying commodity. We analysed the role played by the futures market in the price discovery process in this article. To test whether the futures or spot market in India plays a dominant role in information dissemination, we have done a regression analysis considering the lagged futures and spot price volatility as explanatory variables. We consider the major oil and oilseed contracts traded on National Commodity and Derivatives Exchange. As the uses of many of the oilseeds are related, we have tried to analyse the interlinkages among the market for different commodities. Our results clearly show that information on relevant futures market volatilities help significantly to assess the volatility in the spot markets. This linkage can be leveraged to manage the spot market risks better. JEL: G10, G13, G14

Suggested Citation

  • Suranjana Joarder & Diganta Mukherjee, 2021. "The Lead–Lag Relationship Between Futures and Spot Price—A Case of the Oil and Oilseed Contracts Traded on Indian Exchange," Arthaniti: Journal of Economic Theory and Practice, , vol. 20(1), pages 7-33, June.
  • Handle: RePEc:sae:artjou:v:20:y:2021:i:1:p:7-33
    DOI: 10.1177/0976747919842689
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0976747919842689
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0976747919842689?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. Jabir Ali & Kriti Bardhan Gupta, 2011. "Efficiency in agricultural commodity futures markets in India," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 71(2), pages 162-178, August.
    2. Mukherjee, Dr. Kedar nath, 2011. "Impact of Futures Trading on Indian Agricultural Commodity Market," MPRA Paper 29290, University Library of Munich, Germany, revised 04 Mar 2011.
    3. Jeff Fleming & Barbara Ostdiek & Robert E. Whaley, 1996. "Trading costs and the relative rates of price discovery in stock, futures, and option markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 16(4), pages 353-387, June.
    Full references (including those not matched with items on IDEAS)

    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. 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).
    2. Suranjana Joarder, 2018. "The Commodity Futures Volatility and Macroeconomic Fundamentals - The Case of Oil and Oilseed Commodities in India," International Econometric Review (IER), Econometric Research Association, vol. 10(2), pages 33-50, September.
    3. Hauser, Shmuel & Kedar-Levy, Haim & Milo, Orit, 2022. "Price discovery during parallel stocks and options preopening: Information distortion and hints of manipulation," Journal of Financial Markets, Elsevier, vol. 59(PA).
    4. Chakrabarty, Bidisha & Cox, Justin & Upson, James E., 2022. "Tick Size Pilot Program and price discovery in U.S. stock markets," Journal of Financial Markets, Elsevier, vol. 59(PB).
    5. Raushan Kumar, 2021. "Predicting Wheat Futures Prices in India," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(1), pages 121-140, March.
    6. Čermák, Michal & Ligocká, Marie, 2022. "Could Exist a Causality Between the Most Traded Commodities and Futures Commodity Prices in the Agricultural Market?," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 14(4), December.
    7. Carlotta Penone & Samuele Trestini, 2022. "Testing for asymmetric cointegration of Italian agricultural commodities prices: Evidence from the futures-spot market relationship," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(2), pages 50-58.
    8. Lepone, Andrew & Yang, Jin Young, 2013. "Informational role of market makers: The case of exchange traded CFDs," Journal of Empirical Finance, Elsevier, vol. 23(C), pages 84-92.
    9. Olaf Korn & Paolo Krischak & Erik Theissen, 2019. "Illiquidity transmission from spot to futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(10), pages 1228-1249, October.
    10. Yao, Can-Zhong & Lin, Qing-Wen, 2017. "The mutual causality analysis between the stock and futures markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 478(C), pages 188-204.
    11. Vinay Patel, 2015. "Price Discovery in US and Australian Stock and Options Markets," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 27, July-Dece.
    12. Qin Wang & Hsiao-Fen Yang, 2015. "Earnings announcements, trading volume, and price discovery: evidence from dual class firms," Review of Quantitative Finance and Accounting, Springer, vol. 44(4), pages 669-700, May.
    13. Lee, Yen-Hsien & Wang, David K., 2016. "Information content of investor trading behavior: Evidence from Taiwan index options market," Pacific-Basin Finance Journal, Elsevier, vol. 38(C), pages 149-160.
    14. Lim, Terence & Lo, Andrew W. & Merton, Robert C. & Scholes, Myron S., 2006. "The Derivatives Sourcebook," Foundations and Trends(R) in Finance, now publishers, vol. 1(5–6), pages 365-572, April.
    15. Ghadhab, Imen, 2016. "The effect of additional foreign market presence on the trading volume of cross-listed/traded stocks," Journal of Multinational Financial Management, Elsevier, vol. 34(C), pages 18-27.
    16. Satyaban Sahoo & Sanjay Kumar, 2021. "Existence of Cointegration between the Public and Private Bank Index: Evidence from Indian Capital Market," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 152-172, December.
    17. Joseph, Anto & Sisodia, Garima & Tiwari, Aviral Kumar, 2014. "A frequency domain causality investigation between futures and spot prices of Indian commodity markets," Economic Modelling, Elsevier, vol. 40(C), pages 250-258.
    18. Christoph Schmidhammer & Sebastian Lobe & Klaus Röder, 2016. "The day the index rose 11 %: a clinical study on price discovery reversal," Review of Quantitative Finance and Accounting, Springer, vol. 46(1), pages 79-106, January.
    19. Dimpfl, Thomas & Schweikert, Karsten, 2023. "Information shares for markets with partially overlapping trading hours," Journal of Banking & Finance, Elsevier, vol. 154(C).
    20. Sanjay Sehgal & Mala Dutt, 2016. "Domestic and international information linkages between NSE Nifty spot and futures markets: an empirical study for India," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 43(3), pages 239-258, September.

    More about this item

    Keywords

    Agricultural commodity derivatives; lead-lag relationship; volatility spillover;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    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:sae:artjou:v:20:y:2021:i:1:p:7-33. 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: SAGE Publications (email available below). General contact details of provider: .

    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.