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This paper estimates the long memory volatility model for 16 agricultural commodity futures returns from different futures markets, namely corn, oats, soybeans, soybean meal, soybean oil, wheat, live cattle, cattle feeder, pork, cocoa, coffee, cotton, orange juice, Kansas City wheat, rubber, and...
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This paper applies a fractional integration framework to analyse the stochastic behaviour of two Russian stock market volatility índices (namely the originally created RTSVX and the new RVI that has replaced it), using daily data over the period 2010-2018. The empirical findings are consistent...
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In this paper, we seek to identify the price and volatility transmission mechanisms between DDGS, corn, and soybean meal markets to better inform market participants who wish to manage price risks in these three markets. Using weekly data from January 2000 to May 2016, we find important...
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market volatility in Nigeria under symmetric conditional variance. However, there was strong evidence of asymmetric effect …
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