Cryptocurrency Bubble on the Systemic Risk in Global Energy Companies
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DOI: 10.5547/01956574.43.SI1.qiji
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- Balcılar, Mehmet & Demirer, Rıza & Hammoudeh, Shawkat & Nguyen, Duc Khuong, 2016.
"Risk spillovers across the energy and carbon markets and hedging strategies for carbon risk,"
Energy Economics, Elsevier, vol. 54(C), pages 159-172.
- Mehmet Balcilar & Riza Demirer & Shawkat Hammoudeh & Duc Khuong Nguyen, 2014. "Risk Spillovers across the Energy and Carbon Markets and Hedging Strategies for Carbon Risk," Working Papers 15-10, Eastern Mediterranean University, Department of Economics.
- Delphine Lautier and Franck Raynaud, 2012. "Systemic Risk in Energy Derivative Markets: A Graph-Theory Analysis," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
- Delphine Lautier & Franck Raynaud, 2012. "Systemic risk in energy derivative markets: a graph theory analysis," Post-Print halshs-00738201, HAL.
- Elie Bouri & Mahamitra Das & Rangan Gupta & David Roubaud, 2018.
"Spillovers between Bitcoin and other assets during bear and bull markets,"
Applied Economics, Taylor & Francis Journals, vol. 50(55), pages 5935-5949, November.
- Elie Bouri & Mahamitra Das & Rangan Gupta & David Roubaud, 2018. "Spillovers between Bitcoin and other Assets during Bear and Bull Markets," Working Papers 201812, University of Pretoria, Department of Economics.
- Peter M. Garber, 2001. "Famous First Bubbles: The Fundamentals of Early Manias," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262571536, December.
- Phillips, Peter C.B. & Magdalinos, Tassos, 2007.
"Limit theory for moderate deviations from a unit root,"
Journal of Econometrics, Elsevier, vol. 136(1), pages 115-130, January.
- Peter C.B. Phillips & Tassos Magdalinos, 2004. "Limit Theory for Moderate Deviations from a Unit Root," Cowles Foundation Discussion Papers 1471, Cowles Foundation for Research in Economics, Yale University.
- Spencer Wheatley & Didier Sornette & Tobias Huber & Max Reppen & Robert N. Gantner, 2018. "Are Bitcoin Bubbles Predictable? Combining a Generalized Metcalfe's Law and the LPPLS Model," Swiss Finance Institute Research Paper Series 18-22, Swiss Finance Institute, revised Mar 2018.
- Naeem, Muhammad Abubakr & Bouri, Elie & Peng, Zhe & Shahzad, Syed Jawad Hussain & Vo, Xuan Vinh, 2021. "Asymmetric efficiency of cryptocurrencies during COVID19," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).
- Ji, Qiang & Bouri, Elie & Roubaud, David & Kristoufek, Ladislav, 2019. "Information interdependence among energy, cryptocurrency and major commodity markets," Energy Economics, Elsevier, vol. 81(C), pages 1042-1055.
- Spencer Wheatley & Didier Sornette & Tobias Huber & Max Reppen & Robert N. Gantner, 2018. "Are Bitcoin Bubbles Predictable? Combining a Generalized Metcalfe's Law and the LPPLS Model," Papers 1803.05663, arXiv.org.
- Ji, Qiang & Zhang, Hai-Ying & Zhang, Dayong, 2019. "The impact of OPEC on East Asian oil import security: A multidimensional analysis," Energy Policy, Elsevier, vol. 126(C), pages 99-107.
- repec:dau:papers:123456789/9709 is not listed on IDEAS
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- Xie, Qichang & Luo, Chao & Cong, Xiaoping & Wang, Xu, 2024. "Volatility connectedness and its determinants of global energy stock markets," Economic Systems, Elsevier, vol. 48(2).
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- Jun Hao & Xiaolei Sun & Qianqian Feng, 2020. "A Novel Ensemble Approach for the Forecasting of Energy Demand Based on the Artificial Bee Colony Algorithm," Energies, MDPI, vol. 13(3), pages 1-25, January.
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Keywords
Energy companies; Cryptocurrency; Bubbles; Systemic risks; CoVaR;All these keywords.
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