References 


Alper, A. and O. Oguz, 2016, “The Role of Renewable Energy Consumption in Economic Growth: Evidence from Asymmetric Causality”, Renewable and Sustainable Energy Reviews, 60, 953-959.

Baba, Y., R.F. Engle, D. Kraft, and K.F. Kroner, 1985, “Multivariate Simultaneous Generalized ARCH”, Unpublished manuscript, Department of Economics, University of California, San Diego, CA, USA.

Bloch, H., S. Rafiq, and R. Salim, 2015, “Economic Growth with Coal, Oil and Renewable Energy Consumption in China: Prospects for Fuel Substitution”, Economic Modelling, 44, 104-115.

Bollerslev, T., 1986, “Generalized Autoregressive Conditional Heteroscedasticity”, Journal of Econometrics, 31(3), 307-327.

Bollerslev, T., R.F. Engle, and J.M. Wooldridge, 1988, “A Capital Asset Pricing Model with Time Varying Covariance”, Journal of Political Economy, 96(1), 116-131.

BP Global, 2016, “BP Statistical Review of World Energy 2016”, BP Global. [online] Available at: https://www.bp.com/content/dam/bp/pdf/energy-economics/statistical-review2016/bp-statistical-review-of-world-energy-2016-full-report.pdf. [Accessed 20 April, 2018].

Chang, C.-L., Y. Li, and M. McAleer, 2015, “Volatility Spillovers Between Energy and Agricultural Markets: A Critical Appraisal of Theory and Practice”, Tinbergen Institute Discussion Paper, No. 15-077/III, The Netherlands.

Chang, C.-L., M. McAleer, and Y. -A. Wang, 2018, “Modelling Volatility Spillovers for Bio-ethanol, Sugarcane and Corn Spot and Futures Prices,” Renewable and Sustainable Energy Reviews, 81, 1002-1018.

Cohen, B.L., 1983, “Breeder Reactors: A Renewable Energy Source”, American Journal of Physics, 51, 75-76.

Dickey, D.A. and W.A. Fuller, 1979, “Distribution of the Estimators for Autoregressive Time Series with a Unit Root”, Journal of the American Statistical Association, 74(366), 427–431.

Engle, R.F. and K.F. Kroner, 1995, “Multivariate Simultaneous Generalized ARCH”, Econometric Theory, 11(1), 122-150.

Engle, R.F., 2002, “Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Hereoskedasticity Models”, Journal of Business and Economic Statistics, 20(3), 339-350.

Ec.europa.eu, 2018, “Renewable energy statistics”, Eurostat Statistics Explained. [online] Available at: http://ec.europa.eu/eurostat/statistics-explained/index.php/Renewable_energy_statistics. [Accessed 8 April, 2018].

Gevorkyan, A., 2017, “Renewable Versus Nonrenewable Resources: An Analysis of Volatility in Futures Prices”, Australian Journal of Agricultural and Resource Economics, 61(1), 19-35.

Granger, C. W., 1969, “Investigating Causal Relations by Econometric Models and Cross-Spectral Methods”, Econometrica, 37(3), 424-438.

IEA, 2016, “World Energy Investment”, International Energy Agency. [online] Available at: https://www.iea.org/Textbase/npsum/WEI2016SUM.pdf. [Accessed 8 April, 2018].

IEA, 2017, “Electricity Information 2017 Overview ”, International Energy Agency. [online] Available at: https://www.iea.org/publications/freepublications/publication/ElectricityInformation2017Overview.pdf. [Accessed 8 April, 2018].

Joshua S. H., 2016, “Renewable Energy Now Accounts For 30% Of Global Power Generation Capacity”, CleanTechnica. [online] Available at: https://cleantechnica.com/2016/09/20/renewable-energy-now-accounts-30-global-power-generation-capacity/. [Accessed 8 April, 2018].

Lin, B. and J. Li, 2015, “The Spillover Effects Across Natural Gas and Oil Markets: Based on the VEC–MGARCH Framework”, Applied Energy, 155, 229-241.

Ling, S. and M. McAleer, 2003, “Asymptotic Theory for a Vector ARMA-GARCH Model”, Econometric Theory, 19(2), 280-310.

Managi, S. and T. Okimoto, 2013, “Does the Price of Oil Interact with Clean Energy Prices in the Stock Market?”, Japan and the World Economy, 27, 1-9.

McAleer, M., 2018, Stationarity and Invertibility of a Dynamic Correlation Matrix, Kybernetika, 54(2), 363-374.

McAleer, M., and C. M. Hafner, 2014, “A One Line Derivation of EGARCH,” Econometrics, 2(2):92-97.

McAleer, M., F. Chan, S. Hoti, and O. Lieberman, 2008, “Generalized Autoregressive Conditional Correlation”, Econometric Theory, 24(6), 1554-1583.

McAleer, M., S. Hoti, and F. Chan, 2009, “Structure and Asymptotic Theory for Multivariate Asymmetric Conditional Volatility”, Econometric Reviews, 28(5), 422-440.

Phillips, P.C.B. and P. Perron, 1988, “Testing for a Unit Root in Time Series Regression”, Biometrika, 75(2), 335-346.

Reboredo, J. C., 2015, “Is there Dependence and Systemic Risk Between Oil and Renewable Energy Stock Prices?”, Energy Economics, 48, 32-45.

Ritchie, H. and M. Roser, 2018, “Energy Production and Changing Energy Sources”, OurWorldInData, University of Oxford. [online] Available at: https://ourworldindata.org/energy-production-and-changing-energy-sources. [Accessed 8 April, 2018].

Said, S.E. and D.A. Dickey, 1984, “Testing for Unit Roots in Autoregressive-Moving Average Models of Unknown Order”, Biometrika, 71 (3), 599-607.

Sims, C. A., 1972, “Money, Income, and Causality”, American Economic Review, 540-552.

Troster, V., M. Shahbaz, and G. S. Uddin, 2018, “Renewable Energy, Oil Prices, and Economic Activity: A Granger-causality in Quantiles Analysis”, Energy Economics, 70, 440-452.

Tsay, R. S., 1987, “Conditional Heteroscedastic Time Series Models”, Journal of the American Statistical Association, 82(398), 590-604.

Tse, Y. K. and A. K. C. Tsui, 2002, “A Multivariate GARCH Model with Time-Varying Correlations”, Journal of Business and Economic Statistics, 20(3), 351-362.

Vasques, R., 2014, “Nuclear Energy is Renewable Energy”, Energy Research Journal, 5(2), 33-34.

WEC, 2015, “Energy Price Volatility: The New Normal”, World Energy Council. [online] Available at: https://www.worldenergy.org/publications/2015/world-energy-issues-monitor2015/. [Accessed 8 April, 2018].

WNA, 2013, “ Sustainable Energy”, World Nuclear Association. [online] Available at: http://www.world-nuclear.org/focus/climate-change-and-nuclear-energy/sustai nable-energy.aspx. [Accessed 8 April, 2018].