ISSN: 2056-3736 (Online Version) | 2056-3728 (Print Version)

Seasonality in Indian Commodities Market: Insights for modeling from preceding commodity cycle

Sharon K Jose and Girish G P

Correspondence: Girish G P, gpgirish.ibs@gmail.com

ICFAI Business School (IBS), India

pdf (599.01 Kb) | doi: https://doi.org/10.47260/bae/8110

Abstract

In this study we analyze seasonal behavior of Indian agriculture, energy and metal commodities through the ten years of preceding Super-cycle (2003-13) by considering monthly data for near month futures prices to remove basis variance. The thrust of the paper is to investigate seasonal behavior of selected commodities in India using monthly seasonal dummies. We found seasonal variation in four commodities namely gold, barley, guar and Jeera. In a declining interest-rate scenario and Post-Covid world, there is elevated likelihood that we are going to witness the next commodities super-cycle. It is imperative for hedge fund managers, global investors, commodities traders, high net-worth individuals, market participants and spread-traders to know what to expect based on the preceding super-cycle to strategize better and address seasonality.

Keywords:

  Commodity, Spot, Future, Hedging, Seasonality, India


References

Ali, J., & Gupta, K. B. (2011). Efficiency in agricultural commodity futures markets in India: Evidence from cointegration and causality tests. Agricultural Finance Review, 162-178.

Anderson, R. W. (1985). Some Determinants of the Volatility of Futures Prices. Journal of Futures  Markets, 5(3), 331-348.

Carter. (1999). Commodity futures market: a survey. The Australian Journal of Agricultural and Resource Economics, 43(2), The Australian Journal of Agricultural and Resource Economics.

Chen, Y.-C., Rogoff, K. S., & Rossi, B. (2010, August). Can Exchange Rates Forecast Commodity Prices? The Quarterly Journal of Economics.

Fama, E., & French, K. (1987). Commodity futures prices: Some evidence on forecast power, premium, and the Theory of Storage. Journal of Business, 60(1).

Geman, H. (2005). Commodities and Commodity Derivatives - Modeling and Pricing for Agricultural, Metals and Energy. London, UK: Wiley Finance.

Geman, H., & Nguyen, V. (2005). Soybean inventory and forward curves dynamics. Management Science, 51(7), 1076-1091.

Gorton, G., & Rouwenhorst, K. G. (2006). Facts and Fantasies about Commodity Futures. Financial Analysts Journal, 62(2), 47-68.

Grauer, F. L. (1977). Equilibrium in Commodity Futures Markets: Theory and Tests. PhD. Dissertation .

Kenyon, D., Kling, K., Jordan, J., Seale, W., & McCabe, N. (1987). Factors affecting Agricultural Futures Price Variance. Journal of Futures Markets, 7(1), 73-91.

Maitra, D. (2018). Do seasonality,break ans spillover effects explain commodity price volatility:Evidence form the Indian commodity market. Journal of Agribusiness in Developing and Emerging Economies, 144-170.

S.K. Jose,& Girish G.P. (2020). Modelling and Forecasting Commodities Prices in Emerging Market: Lessons from the Preceding Super Cycle. International Journal of Accounting & Finance Review, 5(2), 54- 63.

Schwartz, & Smith. (2000). Short -Term Variations and Long-Term Dynamics in Commodity Prices . Management Science, 893-911.

Schwartz. (1997). The Stochastic Behaviour of Commodity Prices: Implications for Valuation and Hedging. The Journal of Finance, LII(3).

Sobia Quayyoum, M. H. (2019). Seasonality in Crudeoil returns . Soft Comput 24, 13547–13556 (2020). https://doi.org/10.1007/s00500-019-04329-0.

Sorensen, C. (2002). Modeling seasonality in agricultural commodity futures. The Journal of Futures Market, 22(5), 393-426.

Varshney, D. R. (2020). Impact of COVID-19 on agricultural markets: assessing the roles of commodity characteristics, disease caseload and market reforms. Indian Economic Review , 55, 83–103.

Vasicek, O. (1977). An equilibrium characterization of the term structure. Journal of financial Economics, 5(3), 177-188.

Vaughn, R., Kelly, M., & Hochheimer, F. (1981). Identifying Seasonally in Futures Prices using X-11. The Journal of Futures Markets, 1(1), 93-101.