Volatility transmission in the South African white maize futures market

Ayesha Sayed () and Christo Auret
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Ayesha Sayed: University of the Witwatersrand

Eurasian Economic Review, 2020, vol. 10, issue 1, No 5, 88 pages

Abstract: Abstract Research in the United States’ agricultural futures markets have found maize (what they refer to as corn) to be the commodity that most broadly received and transmitted volatility transmissions. South Africa is the main emerging market for price discovery of maize in Africa, with white maize being the largest and most liquid agricultural commodity futures contract traded on the South African Futures Exchange (SAFEX). This paper examines volatility spillover effects in white maize futures against several other domestic grain and external market futures listed on SAFEX. Using daily return data, a multivariate GARCH approach is employed to study spillover effects between grain futures (white maize, yellow maize, wheat and sunflower seed), currency futures (Dollar/Rand and Euro/Rand), equity futures (JSE Top 40 Index) and interest rate futures (JIBA). A Dynamic Conditional Correlation (DCC) model is used to evaluate the degree of interdependence between futures markets which is measured through a time-variant conditional correlation matrix. The results indicate that the South African futures markets analyzed are highly interrelated, with significant dependence and volatility transmissions being observed. Furthermore, the results also highlight that these interrelations are changing over time. The findings have important implications for portfolio allocations, hedging strategies and policy and regulatory initiatives.

Keywords: Volatility spillover; Volatility transmission; Multivariate GARCH; Dynamic conditional correlations; White maize futures; Grain price volatility (search for similar items in EconPapers)
JEL-codes: C32 G13 G14 G32 Q13 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (5)

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DOI: 10.1007/s40822-019-00128-y

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