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months) hedging periods. Furthermore, volatility of weekly price changes also has a seasonal pattern and is higher in winter … and Zeebrugge). A common feature of energy prices is that conditional mean and volatility are driven by seasonal trends …) framework and considers seasonalities in mean and volatility when minimum variance hedge ratios are computed. Our results show …
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We estimate dynamic conditional correlations between 10 commodities futures returns in energy, metals and agriculture markets over the period 1998-2014 with a DCC-GARCH model. We look at the factors influencing those correlations, adopting a pooled mean group (PMG) estimator. Macroeconomic...
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This paper analyses futures prices for four energy commodities (light sweet crude oil, heating oil, gasoline and natural gas) and five agricultural commodities (corn, oats, soybean oil, soybeans and wheat), over the period 1986-2010. Using CCC and DCC multivariate GARCH models, we find that...
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This paper evaluates how different types of speculation affect the volatility of commodities' futures prices. We adopt …-2010 analyzed at weekly frequency. Using GARCH models we find that speculation significantly affects volatility of returns: short … term speculation has a positive and significant impact on volatility, while long term speculation generally has a negative …
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