Modeling risk dependence and portfolio VaR forecast through vine copula for cryptocurrencies
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DOI: 10.1371/journal.pone.0242102
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References listed on IDEAS
- Nader Naifar, 2016. "Modeling dependence structure between stock market volatility and sukuk yields: A nonlinear study in the case of Saudi Arabia," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 16(3), pages 157-166, September.
- Zhang, Bangzheng & Wei, Yu & Yu, Jiang & Lai, Xiaodong & Peng, Zhenfeng, 2014. "Forecasting VaR and ES of stock index portfolio: A Vine copula method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 416(C), pages 112-124.
- Embrechts, Paul & Puccetti, Giovanni & Rüschendorf, Ludger, 2013. "Model uncertainty and VaR aggregation," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 2750-2764.
- Nader Trabelsi, 2017. "Tail dependence between oil and stocks of major oil-exporting countries using the CoVaR approach," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 17(4), pages 228-237, December.
- Andrew J. Patton, 2006. "Modelling Asymmetric Exchange Rate Dependence," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(2), pages 527-556, May.
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Cited by:
- Syuhada, Khreshna & Hakim, Arief & Suprijanto, Djoko & Muchtadi-Alamsyah, Intan & Arbi, Lukman, 2022. "Is Tether a safe haven of safe haven amid COVID-19? An assessment against Bitcoin and oil using improved measures of risk," Resources Policy, Elsevier, vol. 79(C).
- Syuhada, Khreshna & Suprijanto, Djoko & Hakim, Arief, 2022. "Comparing gold’s and Bitcoin’s safe-haven roles against energy commodities during the COVID-19 outbreak: A vine copula approach," Finance Research Letters, Elsevier, vol. 46(PB).
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