Abstract
This study investigates and compares oilseeds price volatilities in the world market and the Ethiopian market. It uses a monthly time series data on oilseeds from February 1999 to December 2012; and analyses price volatilities using unconditional method (standard deviation) and conditional method (GARCH). The results indicate that oilseeds prices are more volatile, but not persistent, in the domestic market than the world market. The magnitude of the influence of the news about past volatility (innovations) is higher in the domestic market for Rapeseed and in the World market for Linseed. However, in both markets there is a problem of volatility clustering. The study also identified that due to the financial crisis the world market price volatilities surpassed and/or paralleled the higher domestic oilseeds price volatilities. The higher domestic oilseeds price volatility may imply that the price risks are high in the domestic oilseeds market. As extreme price volatility influences farmers production decision, they may opt to other less risky, low-value and less profitable crop varieties. The implications of such retreat is that it may keep the farmers in the traditional farming and impede their transformation to the high value crops, and results in lower income hindering the poverty reduction efforts of the government. This is more important to consider today than was before, because measures undertaken to reduce poverty must bring sustainable change in the lives of the rural poor. For this reason, agricultural policies that enable farmers cope with price risks and enhance their productivity are crucial.
Keywords
- Oilseeds Search this journal for Oilseeds (opens in a new tab)
- Price Volatility Search this journal for Price Volatility (opens in a new tab)
- GARCH Search this journal for GARCH (opens in a new tab)
- World Search this journal for World (opens in a new tab)
- Ethiopia Search this journal for Ethiopia (opens in a new tab)
References
- Balcombe, K. (2010). The Nature and Determinants of Volatility in Agricultural Prices: An Empirical Study from 1962-2008, in Commodity Markets Review 2006-2010, FAO, Rome.
- Befekadu, D. & Tesfaye, R. (1990). The Marketing and Pricing of Agricultural Products in Ethiopia. In Seigfried P., Fantu C., Brune S., & Eshetu C. (eds.), Ethiopian Rural Development Options. London: Zed Books.
- Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics , 31(3), 307-27.
- CSA. (2013). Agricultural Sample Survey: Report on Area and Production of Major Crops, Vol. I, No. 532, Addis Ababa
- CSA. (2012). Agricultural Sample Survey: Report on Crop and Livestock Product Utilization, Vol. VII, No. 532, Addis Ababa
- Dehn, J. C., Gilbert, L. & Panos, V. (2005). Agricultural Commodity Price Volatility, in Managing Economic Volatility and Crisis: A Practitioners Guide, ed. Joshua A. and Brian Pinto. The World Bank, Cambridge University Press.
- Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica , 50(4), 987-1007.
- Engle, R. F. & Bollerslev, T. (1986). Modelling the persistence of conditional variance. Econometric Reviews , 5(1), 1-50.
- Johansen, S. (1988), Statistical analysis of cointegrating vectors. Journal of Economic Dynamics and Control , 12, 231-254.
- OECDSTAT. (2013). OECD-FAO Agricultural Outlook2011-2020. Available at: http://stats.oecd.org/, data extracted on Feb 19, 2013.
- Rashid, S., Chilot Y., Befekadu B. & Solomon, L. (2010). Pulses Value Chain in Ethiopia: constraints ad opportunities for enhancing exports, International Food Policy research Institute Working Paper, July 2010.
- Rashid, S., Meron A. & Gezahegn A. (2009). Distortions to Agricultural Incentives in Ethiopia, in Distortions to Agricultural Incentives in Africa, Kym Anderson and William A. Masters (Eds): The World Bank, Washington D.C.
- USAID (2010). Staple Foods Value Chain Analysis: Country Report, Competitiveness and Trade Expansion Program: April 2010
Downloads
No downloads have been recorded for this article yet. Figures appear here once readers begin downloading the full text.
How to Cite
Share this article
License
Copyright (c) 2015 Zerihun G. Kelbore (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.
Author (s) should affirm that the material has not been published previously. It has not been submitted and it is not under consideration by any other journal. At the same time author (s) need to execute a publication permission agreement to assume the responsibility of the submitted content and any omissions and errors therein. After submission of revised paper in the light of suggestions of the reviewers, the editorial team edits and formats manuscripts to bring uniformity and standardization in published material.
This work will be licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) and under condition of the license, users are free to read, copy, remix, transform, redistribute, download, print, search or link to the full texts of articles and even build upon their work as long as they credit the author for the original work. Moreover, as per journal policy author (s) hold and retain copyrights without any restrictions.
Keywords
- Oilseeds Search this journal for Oilseeds (opens in a new tab)
- Price Volatility Search this journal for Price Volatility (opens in a new tab)
- GARCH Search this journal for GARCH (opens in a new tab)
- World Search this journal for World (opens in a new tab)
- Ethiopia Search this journal for Ethiopia (opens in a new tab)
Section
Published
Submissions
Have research to publish? Journal of Economics and Behavioral Studies welcomes submissions.
Make a Submission