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Hedging Effectiveness and Influential Direction Between Spot and Futures Market of Aluminium: An Evidence from India

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  • Laxmidhar Samal
  • Sudhansu Kumar Das

Abstract

The article is an attempt to evaluate the price discovery functions and hedging effectiveness of the aluminum futures market in India. The article identifies the influential direction of price discovery and hedging effectiveness of the aluminum futures market of India. It has especially focused on the aluminum futures market of India for a period ranging from 2013 to 2020. Augmented Dicky-fuller test, PP test, Cointegration test, exogeneity Wald test, Wald co-efficient test, Granger causality test, variance decomposition and minimum variance hedge ratio are employed to achieve the objective of the study. The study finds a bi-directional causality effect between aluminum’s cash and the futures market. Therefore, the Spot and futures markets of aluminum influence each other in the price discovery. The findings of variance decomposition suggest that the futures market of aluminum implies weak exogenoity on spot. Similarly, futures prices reflect strong endogeneity. The hedge ratio of sub-sample and full sample period indicates that there is a lack of hedging effectiveness of aluminum futures. The study will help the hedgers to decide the number of futures positions they need to take to manage their spot exposure. It will help the futures market regulators to examine the stability of the market and other participants to design hedging and arbitrage strategies.

Suggested Citation

  • Laxmidhar Samal & Sudhansu Kumar Das, 2025. "Hedging Effectiveness and Influential Direction Between Spot and Futures Market of Aluminium: An Evidence from India," Business Perspectives and Research, , vol. 13(3), pages 369-384, July.
    • Handle: RePEc:sae:busper:v:13:y:2025:i:3:p:369-384
    DOI: 10.1177/22785337221148537
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    1. MacKinnon, James G & Haug, Alfred A & Michelis, Leo, 1999. "Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 563-577, Sept.-Oct.
    2. Olson, Eric & Vivian, Andrew & Wohar, Mark E., 2019. "What is a better cross-hedge for energy: Equities or other commodities?," Global Finance Journal, Elsevier, vol. 42(C).
    3. Meenakshi Malhotra, 2015. "Evaluating the Hedging Performance of Oil and Oilseeds Futures in India," Paradigm, , vol. 19(2), pages 184-196, December.
    4. Shashi Gupta & Himanshu Choudhary & D.R. Agarwal, 2017. "Hedging Efficiency of Indian Commodity Futures," Paradigm, , vol. 21(1), pages 1-20, June.
    5. Cecchetti, Stephen G & Cumby, Robert E & Figlewski, Stephen, 1988. "Estimation of the Optimal Futures Hedge," The Review of Economics and Statistics, MIT Press, vol. 70(4), pages 623-630, November.
    6. Xiaojie Xu, 2018. "Causal structure among US corn futures and regional cash prices in the time and frequency domain," Journal of Applied Statistics, Taylor & Francis Journals, vol. 45(13), pages 2455-2480, October.
    7. Antonios Antoniou & Nuray Ergul & Phil Holmes, 1997. "Market Efficiency, Thin Trading and Non‐linear Behaviour: Evidence from an Emerging Market," European Financial Management, European Financial Management Association, vol. 3(2), pages 175-190, July.
    8. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    9. Bekaert, Geert & Harvey, Campbell R., 1997. "Emerging equity market volatility," Journal of Financial Economics, Elsevier, vol. 43(1), pages 29-77, January.
    10. Clark, Andrew, 2022. "Causality in the aluminum market," Journal of Commodity Markets, Elsevier, vol. 27(C).
    11. T. Randall Fortenbery & Hector O. Zapata, 1997. "An evaluation of price linkages between futures and cash markets for cheddar cheese," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 17(3), pages 279-301, May.
    12. Garbade, Kenneth D & Silber, William L, 1983. "Price Movements and Price Discovery in Futures and Cash Markets," The Review of Economics and Statistics, MIT Press, vol. 65(2), pages 289-297, May.
    13. Kushankur Dey & Debasish Maitra, 2012. "Price discovery in Indian commodity futures market: an empirical exercise," International Journal of Trade and Global Markets, Inderscience Enterprises Ltd, vol. 5(1), pages 68-87.
    14. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    15. Abhay Abhyankar, 1998. "Linear and nonlinear Granger causality: Evidence from the U.K. stock index futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 18(5), pages 519-540, August.
    16. Raza, Naveed & Ali, Sajid & Shahzad, Syed Jawad Hussain & Raza, Syed Ali, 2018. "Do commodities effectively hedge real estate risk? A multi-scale asymmetric DCC approach," Resources Policy, Elsevier, vol. 57(C), pages 10-29.
    17. Abdullah, Dewan A & Rangazas, Peter C, 1988. "Money and the Business Cycle: Another Look," The Review of Economics and Statistics, MIT Press, vol. 70(4), pages 680-685, November.
    18. Bohl, Martin T. & Gross, Christian & Souza, Waldemar, 2019. "The role of emerging economies in the global price formation process of commodities: Evidence from Brazilian and U.S. coffee markets," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 203-215.
    19. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    20. Chan, Kalok, 1992. "A Further Analysis of the Lead-Lag Relationship between the Cash Market and Stock Index Futures Market," The Review of Financial Studies, Society for Financial Studies, vol. 5(1), pages 123-152.
    21. Chen, Xiangyu & Tongurai, Jittima, 2021. "Cross-commodity hedging for illiquid futures: Evidence from China's base metal futures market," Global Finance Journal, Elsevier, vol. 49(C).
    22. Chin‐Wen Hsln & Jerry Kuo & Cheng‐Few Lee, 1994. "A new measure to compare the hedging effectiveness of foreign currency futures versus options," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 14(6), pages 685-707, September.
    23. Jaehwan Park & Byungkwon Lim, 2018. "Testing Efficiency of the London Metal Exchange: New Evidence," IJFS, MDPI, vol. 6(1), pages 1-10, March.
    24. P., Srinivasan, 2011. "Price Discovery and Volatility Spillovers in Indian Spot-Futures Commodity Market," MPRA Paper 47412, University Library of Munich, Germany.
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