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Abstract:We use panel cointegration techniques to examine the relationship between renewable energy consumption, trade and output in a sample of 11 African countries covering the period 1980-2008. The results from panel error correction model reveal that there is evidence of bidirectional causality between output and exports and between output and imports in both the short-run and the long-run. However, in the short-run, there is no evidence of causality between output and renewable energy consumption and between trade (exports or imports) and renewable energy consumption. In the long-run, the FMOLS panel approach estimation shows that renewable energy consumption and trade (exports or imports) have a statistically significant and positive impact on output. Policies recommendations are that, in the long-run, international trade enables African countries to benefit from technology transfer and to build the human and physical capacities needed to produce more renewable energies, which in turn increases their output.

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In this article, we show how the copula-GARCH approach can be appropriately used to investigate the conditional dependence structure between the crude oil and natural gas markets as well as to derive implications for portfolio risk management in extreme economic conditions. Using daily price data from January 1997 to October 2011, our in-sample results show evidence of asymmetric dependence between the two markets. The crude oil and gas markets tend to co-move closely together during bullish periods, but not at all during bearish periods. Moreover, taking the extreme comovement into account leads to an improvement in the accuracy of the out-of-sample Value-at-Risk forecasts.

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