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Crude oil futures to manage the price risk of natural rubber: Empirical evidence from India

Author

Listed:
  • Kepulaje Abhaya Kumar

    (Department of Business Administration, Mangalore Institute of Technology & Engineering, Moodabidri, India)

  • Prakash Pinto

    (Department of Business Administration, St. Joseph Engineering College, Mangalore, India)

  • Iqbal Thonse Hawaldar

    (Department of Accounting & Finance, College of Business Administration, Kingdom University, Sanad, Bahrain)

  • Cristi Spulbar

    (Department of Finance, Banking and Economic Analysis, Faculty of Economics and Business Administration, University of Craiova, Craiova, Romania)

  • Ramona Birau

    (Faculty of Education Science, Law and Public Administration, Constantin Brâncuși University of Târgu Jiu, Târgu Jiu, Romania)

Abstract

The trading of natural rubber derivatives in the Indian commodity exchanges was banned several times in the past. Hence, in India, the derivatives on natural rubber are not traded actively and regularly. We have examined the possibility of a forecast model and a cross hedge tool for the natural rubber price by using crude oil futures in India. Results of the Johansen cointegration test proved that there is no cointegration equation in the model; hence, there is no scope to develop long-run models or error correction models. We have developed a vector autoregressive [VAR(2)] model to forecast the rubber price, and we examined the possibility of a cross hedge for natural rubber further by using the Pearson correlation coefficient and Granger causality test. We have extended our research to a structural VAR analysis to examine the effect of crude futures and exchange rate shocks on the natural rubber price. Our results showed that there is a short-term relationship between the crude oil futures price, the exchange rates of the US dollar to the Indian rupee, the Malaysian ringgit to the Indian rupee and the Thai baht to the Indian rupee; and the natural rubber price in India. The effort of policymakers to cause the Indian rupee to appreciate against the Thai baht and Malaysian ringgit may increase the natural rubber price in India. Natural rubber traders, growers and consumers can use crude futures to hedge the price risk. The Indian Rubber Board can suggest the VAR(2) model to predict the short-run price for natural rubber.

Suggested Citation

  • Kepulaje Abhaya Kumar & Prakash Pinto & Iqbal Thonse Hawaldar & Cristi Spulbar & Ramona Birau, 2021. "Crude oil futures to manage the price risk of natural rubber: Empirical evidence from India," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 67(10), pages 423-434.
    • Handle: RePEc:caa:jnlage:v:67:y:2021:i:10:id:28-2021-agricecon
    DOI: 10.17221/28/2021-AGRICECON
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    References listed on IDEAS

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    1. Chaudhry, Azam & Bukhari, Syed Kalim Hyder, 2013. "A structural VAR analysis of the impact of macroeconomic shocks on Pakistan's textile exports," Economic Modelling, Elsevier, vol. 32(C), pages 302-315.
    2. Charfeddine, Lanouar & Kahia, Montassar, 2019. "Impact of renewable energy consumption and financial development on CO2 emissions and economic growth in the MENA region: A panel vector autoregressive (PVAR) analysis," Renewable Energy, Elsevier, vol. 139(C), pages 198-213.
    3. Søren Johansen & Lukasz Gatarek, 2014. "Optimal hedging with the cointegrated vector autoregressive model," CREATES Research Papers 2014-40, Department of Economics and Business Economics, Aarhus University.
    4. Chi-Wei Su & Lu Liu & Ran Tao & Oana-Ramona Lobonţ, 2019. "Do natural rubber price bubbles occur?," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 65(2), pages 67-73.
    5. Han Hwa Goh & Kim Leng Tan & Chia Ying Khor & Sew Lai Ng, 2016. "Volatility and Market Risk of Rubber Price in Malaysia: Pre- and Post-Global Financial Crisis," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 14(2), pages 323-344, December.
    6. Iqbal Thonse Hawaldar & Mithun S. Ullal & Felicia Ramona Birau & Cristi Marcel Spulbar, 2019. "Trapping Fake Discounts as Drivers of Real Revenues and Their Impact on Consumer’s Behavior in India: A Case Study," Sustainability, MDPI, vol. 11(17), pages 1-20, August.
    7. Azasakhe Nkcubeko Nomsobo & Roscoe Bertrum van Wyk, 2018. "The Impact of Short- Term Interest Rates on Bank Funding Costs," Journal of Economics and Behavioral Studies, AMH International, vol. 10(3), pages 141-148.
    8. Sirikul Tulasombat & Somchai Ratanakomut, 2015. "The Effect of Exchange Rates on Agricultural Goods for Export: A Case of Thailand," Information Management and Business Review, AMH International, vol. 7(1), pages 1-11.
    9. Anthony C. Zwart & David Blandford, 1989. "Market Intervention and International Price Stability," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(2), pages 379-388.
    10. Ferhat Citak, 2018. "Exchange Rate and Turkish Tourism Trade," International Journal of Economics and Financial Issues, Econjournals, vol. 8(4), pages 206-213.
    11. Lukasz Gatarek & Søren Johansen, 2014. "Optimal Hedging with the Vector Autoregressive Model," Tinbergen Institute Discussion Papers 14-022/III, Tinbergen Institute.
    12. Narayan, Paresh Kumar & Narayan, Seema & Prasad, Arti, 2008. "A structural VAR analysis of electricity consumption and real GDP: Evidence from the G7 countries," Energy Policy, Elsevier, vol. 36(7), pages 2765-2769, July.
    13. Sims, Christopher A, 1972. "Money, Income, and Causality," American Economic Review, American Economic Association, vol. 62(4), pages 540-552, September.
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