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Modelling Dynamic Conditional Correlations in WTI Oil Forward and Futures Returns

Citations

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Cited by:

  1. Matteo Manera & Marcella Nicolini & Ilaria Vignati, 2012. "Returns in commodities futures markets and financial speculation: a multivariate GARCH approach," Quaderni di Dipartimento 170, University of Pavia, Department of Economics and Quantitative Methods.
  2. Vacha, Lukas & Barunik, Jozef, 2012. "Co-movement of energy commodities revisited: Evidence from wavelet coherence analysis," Energy Economics, Elsevier, vol. 34(1), pages 241-247.
  3. Massimiliano Caporin & Michael McAleer, 2013. "Ten Things You Should Know About DCC," Documentos de Trabajo del ICAE 2013-12, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
  4. Lien, Donald & Yang, Li, 2008. "Asymmetric effect of basis on dynamic futures hedging: Empirical evidence from commodity markets," Journal of Banking & Finance, Elsevier, vol. 32(2), pages 187-198, February.
  5. Wang, Yudong & Wu, Chongfeng, 2012. "Forecasting energy market volatility using GARCH models: Can multivariate models beat univariate models?," Energy Economics, Elsevier, vol. 34(6), pages 2167-2181.
  6. Arthur Charpentier, 2015. "Prévision avec des copules en finance," Working Papers hal-01151233, HAL.
  7. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, . "Modeling conditional correlations for risk diversification in crude oil markets," Journal of Energy Markets, Journal of Energy Markets.
  8. Massimiliano Caporin & Michael McAleer, 2013. "Ten Things You Should Know about the Dynamic Conditional Correlation Representation," Econometrics, MDPI, vol. 1(1), pages 1-12, June.
  9. Syed Aun R Rizvi & Shaista Arshad, 2014. "An Empirical Study of Islamic Equity as a Better Alternative during Crisis Using Multivariate GARCH DCC," Islamic Economic Studies, The Islamic Research and Training Institute (IRTI), vol. 22, pages 159-184.
  10. Ángeles Cebrián-Hernández & Enrique Jiménez-Rodríguez, 2021. "Modeling of the Bitcoin Volatility through Key Financial Environment Variables: An Application of Conditional Correlation MGARCH Models," Mathematics, MDPI, vol. 9(3), pages 1-16, January.
  11. Shaher Al-Gounmeein Remal & Ismail Mohd Tahir, 2021. "Modelling and forecasting monthly Brent crude oil prices: a long memory and volatility approach," Statistics in Transition New Series, Statistics Poland, vol. 22(1), pages 29-54, March.
  12. Ching-Chun Wei, 2016. "Modeling and Analyzing the Mean and Volatility Relationship between Electricity Price Returns and Fuel Market Returns," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(7), pages 1-55, July.
  13. Qunwei Wang & Xingyu Dai & Dequn Zhou, 2020. "Dynamic Correlation and Risk Contagion Between “Black” Futures in China: A Multi-scale Variational Mode Decomposition Approach," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1117-1150, April.
  14. Wu, Chih-Chiang & Chung, Huimin & Chang, Yu-Hsien, 2012. "The economic value of co-movement between oil price and exchange rate using copula-based GARCH models," Energy Economics, Elsevier, vol. 34(1), pages 270-282.
  15. Chun, Dohyun & Cho, Hoon & Kim, Jihun, 2019. "Crude oil price shocks and hedging performance: A comparison of volatility models," Energy Economics, Elsevier, vol. 81(C), pages 1132-1147.
  16. George P. Papaioannou & Christos Dikaiakos & George Evangelidis & Panagiotis G. Papaioannou & Dionysios S. Georgiadis, 2015. "Co-Movement Analysis of Italian and Greek Electricity Market Wholesale Prices by Using a Wavelet Approach," Energies, MDPI, vol. 8(10), pages 1-30, October.
  17. Aboura, Sofiane & Chevallier, Julien, 2013. "Leverage vs. feedback: Which Effect drives the oil market?," Finance Research Letters, Elsevier, vol. 10(3), pages 131-141.
  18. Halkos, George E. & Tsirivis, Apostolos S., 2019. "Effective energy commodity risk management: Econometric modeling of price volatility," Economic Analysis and Policy, Elsevier, vol. 63(C), pages 234-250.
  19. Kaijian He & Kin Keung Lai & Guocheng Xiang, 2012. "Portfolio Value at Risk Estimate for Crude Oil Markets: A Multivariate Wavelet Denoising Approach," Energies, MDPI, vol. 5(4), pages 1-26, April.
  20. Chang, Chia-Lin & McAleer, Michael & Tansuchat, Roengchai, 2011. "Crude oil hedging strategies using dynamic multivariate GARCH," Energy Economics, Elsevier, vol. 33(5), pages 912-923, September.
  21. Rahim, Adam Mohamed & Masih, Mansur, 2016. "Portfolio diversification benefits of Islamic investors with their major trading partners: Evidence from Malaysia based on MGARCH-DCC and wavelet approaches," Economic Modelling, Elsevier, vol. 54(C), pages 425-438.
  22. Buriev, Abdul Aziz & Masih, Mansur, 2015. "Impact of Arab uprising on Portfolio diversification benefits at different investment horizons for the Turkish investors in relation to the regional stock markets: Multivariate GARCH-DCC and Wavelet coherence approaches," MPRA Paper 65233, University Library of Munich, Germany.
  23. Jin, Xiaoye, 2015. "Asymmetry in return and volatility spillover between China's interbank and exchange T-bond markets," International Review of Economics & Finance, Elsevier, vol. 37(C), pages 340-353.
  24. Halkos, George & Tzirivis, Apostolos, 2018. "Effective energy commodities’ risk management: Econometric modeling of price volatility," MPRA Paper 90781, University Library of Munich, Germany.
  25. He, Kaijian & Wang, Lijun & Zou, Yingchao & Lai, Kin Keung, 2014. "Value at risk estimation with entropy-based wavelet analysis in exchange markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 408(C), pages 62-71.
  26. Peri, M. & Vandone, D. & Baldi, L., 2015. "Volatility Spillover between Water, Food and Energy," 2015 Conference, August 9-14, 2015, Milan, Italy 212627, International Association of Agricultural Economists.
  27. Rahim, Adam Mohamed & Masih, Mansur, 2014. "Effects of Political Turmoil (Arab Spring) on Portfolio Diversification Benefits: Perspectives of the Moroccan Islamic Stock investors," MPRA Paper 58832, University Library of Munich, Germany.
  28. Rizvi, Syed Aun & Masih, Mansur, 2013. "Do Shariah (Islamic) Indices Provide a Safer Avenue in Crisis? Empirical Evidence from Dow Jones Indices using Multivariate GARCH-DCC," MPRA Paper 57701, University Library of Munich, Germany.
  29. Vargas, Gregorio A., 2008. "What Drives the Dynamic Conditional Correlation of Foreign Exchange and Equity Returns?," MPRA Paper 7174, University Library of Munich, Germany.
  30. Massimo Peri & Daniela Vandone & Lucia Baldi, 2017. "Volatility Spillover between Water, Energy and Food," Sustainability, MDPI, vol. 9(6), pages 1-16, June.
  31. Rahim, Adam Mohamed & Masih, Mansur, 2014. "Portfolio Diversification Benefits of Islamic Stocks and Malaysia’s Major Trading Partners:MGARCH-DCC and Wavelet Correlation Approaches," MPRA Paper 58903, University Library of Munich, Germany.
  32. repec:aen:journl:ej34-3-03 is not listed on IDEAS
  33. Kundu, Srikanta & Sarkar, Nityananda, 2016. "Return and volatility interdependences in up and down markets across developed and emerging countries," Research in International Business and Finance, Elsevier, vol. 36(C), pages 297-311.
  34. Ahmad, Wasim & Hernandez, Jose Arreola & Saini, Seema & Mishra, Ritesh Kumar, 2021. "The US equity sectors, implied volatilities, and COVID-19: What does the spillover analysis reveal?," Resources Policy, Elsevier, vol. 72(C).
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