MODELLING COMMODITY FUTURES PRICES: THE CASE OF CRUDE PALM OIL FUTURES

Main Article Content

Khalil Ahmed
Zurina Shafii
Amir Shaharuddin
Siti Nurazira Mohd

Abstract

The present paper seeks to fulfil the gap of knowledge in crude palm oil futures (FCPO) by employing unobserved component (UC) methodology. It may perhaps be the first study in Malaysian capital market to examine FCPO prices using UC model. The empirical results indicate that FCPO presents a permanent behaviour. The transitory component exhibits a higher degree of persistence with a periodicity of approximately one year. In addition, the model of the study has proven its ability to capture unobserved characteristics of FCPO’s time series price and has shown a satisfactory performance for the sampled period in terms of fit. This study implicates that understanding the cyclical pattern, duration, and persistence provides important information that would help to create an appropriate strategy to manage risks, smooth and stabilise returns over the FCPO cycle. Such a strategy would ensure the stability and sustainability of the FCPO market.

Article Details

How to Cite
Khalil Ahmed, Zurina Shafii, Amir Shaharuddin, & Siti Nurazira Mohd. (2019). MODELLING COMMODITY FUTURES PRICES: THE CASE OF CRUDE PALM OIL FUTURES. Asian Academy of Management Journal, 24(Supp. 1), 61–78. https://doi.org/10.21315/aamj2019.24.s1.5
Section
Original Articles

References

Alagidede, P. (2009). Trends, cycles and seasonal components in primary commodities: State space modeling and the Kalman filter. Ashesi Economics Lectures Series Journal, 1(1), 1–6.

Ardeni, P., & Wright, B. (1990). The long-term behavior of commodity prices. Policy, Research and External Affairs (working paper), 358: 1–54

Cashin, P., & McDermott, C. J. (2002). The long-run behavior of commodity prices: Small trends and big variability. International Monetary Fund. IMF Staff Papers, 49(2), 1–28.

Commandeur, J.J.F., & Koopman, S. (2007). An introduction to state space time series analysis. United Kingdom: Oxford University Press Inc.

Dudek, S., & Pachucki, D. (2011, October). Unobserved component model with observed cycle use of BTS data for short-term forecasting of industrial production. Paper presented at the 30th CIRET Conference, Poland.

Fadiga, M., & Misra, S. (2005). Common trends, common cycles, and price relationships in the international fiber market: Evidence from a seemingly unrelate structural time series. Paper presented at the Southern Agricultural Economics Association Annual Meetings, Arkansas.

Harvey, A.C. (1989). Forecasting, structural time series models and the Kalman filter. Cambridge, UK: Cambridge University Press.

Harvey, A.C., & Koopman, S.J. (1992). Diagnostic checking of unobserved components time series models. Journal of Business and Economic Statistics, 10, 377–389. https://doi.org/10.1080/07350015.1992.10509913

Junus, N., Ismail, M., & Arsad, Z. (2014, August). Behavior of road accidents: Structural time series approach. Paper presented at the International Conference on Quantitative Sciences and Its Applications, Kedah, Malaysia. https://doi.org/10.1063/1.4903671

Koopman, S.J., Harvey, A.C., Doornik J.A., & Shephard, N. (2009). Stamp 8.2: Structural time series analyzer, modeler and predictor. London: Timberlake Consultants.

Labys, W.C., & Kouassi, E. (1996). Structural time series modeling of commodity price cycles (Research Paper No. 9602). West Virginia: Regional Research Institute, West Virginia University

Liao, S.-L., & Chang, J.-C. (2006). Economic determinants of default risks and their impacts on the pricing of credit derivatives. PhD dissertation, National Chengchi University, Taiwan. s

Mu, X., & Ye, H. (2015). Small trends and big cycles in crude oil prices. The Energy Journal, 36(1), 49–71. https://doi.org/10.5547/01956574.36.1.3

Myers, R., Johnson, S., Helmar, M., & Baumes, H. (2015). Long-run and short-run comovements between oil and agricultural futures prices. Retrieved from https://pdfs.semanticscholar.org/402b/316356984b102e3f89413958611315e48953.pdf

Nakstad, Y. (2006). Structural time series models: Theory and application. Masters dissertation, University of Oslo, Norway.

Ozbek, L., & Ozlale, U. (2010). Analysis of real oil prices via trend-cycle decomposition. Energy Policy, 38(7), 3676–3683. https://doi.org/10.1016/j.enpol.2010.02.045

Reinhart, C., & Wickham, P. (1994). Commodity prices: Cyclical weakness or secular decline? International Monetary Fund Paper, 41(2), 175–213. https://doi.org/10.2307/3867506

Rezitis, A., Ntinou, A.G., & Pachis, D.N. (2015). Investigating the international prices of wheat and rice. Agricultural and Food Economics, 3(1), 1–17.

Rezitis, A.N., & Sassi, M. (2013). Commodity food prices: Review and empirics. Economics Research International, 2013, 1–15. https://doi.org/10.1155/2013/694507

Sadorsky, P. (2000). The empirical relationship between energy futures prices and exchange rates. Energy Economics, 22(2), 253–266. https://doi.org/10.1016/S0140-9883(99)00027-4

Verbeek, M. (2008). A guide to modern econometrics. United Kingdom: John Wiley & Sons Ltd.