Affiliation:
1. Cracow University of Economics , Cracow , Poland
Abstract
Abstract
The aim of this study is to investigate sources of food prices volatility. The analysis uses daily series for volatility of corn, soybean, wheat, rice, US dollar, crude oil, and SP500 futures spanning the period January 4, 2000 to April 1, 2017. The authors employ the generalized vector autoregressive framework in rolling sample approach in order to capture the time-varying nature of volatility spillovers. The results reveal that: volatility spillovers measures change over time; most of the volatility spillovers are observed within the two groups of markets: food markets and “non-food” markets; corn market is net volatility transmitter.
Subject
General Economics, Econometrics and Finance
Reference51 articles.
1. Abbott, P.C., Hurt, C.A., and Tyner, W.E. (2009). What's driving food prices? Issue Reports 48495. Farm Foundation. https://econpapers.repec.org/paper/agsffispa/48495.htm.
2. Abbott, P.C., Hurt, C., and Tyner, W.E. (2011). What’s driving food prices in 2011? Issue Reports 112927. Farm Foundation. https://ideas.repec.org/p/ags/ffispa/112927.html.
3. Abdelradi, F., and Serra, T. (2015a). Food–energy nexus in Europe: Price volatility approach. Energy Economics, 48: 157–167. https://doi.org/10.1016/j.eneco.2014.11.022.10.1016/j.eneco.2014.11.022
4. Abdelradi, F., and Serra, T. (2015b). Asymmetric price volatility transmission between food and energy markets: The case of Spain. Agricultural Economics, 46(4): 503–513. https://doi.org/10.1111/agec.12177.10.1111/agec.12177
5. Alizadeh, S., Brandt, M.W., and Diebold, F.X. (2002). Range-based estimation of stochastic volatility models. The Journal of Finance, 57(3): 1047–1091. https://doi.org/10.1111/1540-6261.00454.10.1111/1540-6261.00454
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