The pricing implications of cryptocurrency mining on global electricity markets: Evidence from quantile causality tests
暂无分享,去创建一个
[1] Daniel Balsalobre-lorente,et al. Analyzing the N-shaped EKC among top nuclear energy generating nations: A novel dynamic common correlated effects approach , 2023, Gondwana Research.
[2] M. P. Espinosa,et al. Pricing policies for efficient demand side management in liberalized electricity markets , 2023, Economic Modelling.
[3] Chiwei Su,et al. Sustainable finance and renewable energy: Promoters of carbon neutrality in the United States. , 2022, Journal of environmental management.
[4] Chiwei Su,et al. Renewable energy and technological innovation: Which one is the winner in promoting net-zero emissions? , 2022, Technological Forecasting and Social Change.
[5] Wang Hong,et al. Energy consumption, CO2 emissions and electricity costs of lighting for commercial buildings in Southeast Asia , 2022, Scientific reports.
[6] Maximilian J. Blaschke. Dynamic pricing of electricity: Enabling demand response in domestic households , 2022, Energy Policy.
[7] E. Bouri,et al. Is Bitcoin’s Carbon Footprint Persistent? Multifractal Evidence and Policy Implications , 2022, Entropy.
[8] Alex de Vries,et al. Preying on the poor? Opportunities and challenges for tackling the social and environmental threats of cryptocurrencies for vulnerable and low-income communities , 2022, Energy Research & Social Science.
[9] Chiwei Su,et al. Can green credit reduce the emissions of pollutants? , 2022, Economic Analysis and Policy.
[10] S. Shakkottai,et al. Targeted demand response for mitigating price volatility and enhancing grid reliability in synthetic Texas electricity markets , 2022, iScience.
[11] Rangan Gupta,et al. Bitcoin mining activity and volatility dynamics in the power market , 2021, SSRN Electronic Journal.
[12] Lennart Ante,et al. Bitcoin’s Energy Consumption and Social Costs in Relation to its Capacity as a Settlement Layer , 2021, SSRN Electronic Journal.
[13] Tobias Burggraf,et al. Energy Consumption and Bitcoin Market , 2021, Asia-Pacific Financial Markets.
[14] D. Tunaru,et al. Risk premia in electricity derivatives markets , 2021 .
[15] A.W.G. de Vries,et al. Bitcoin boom: What rising prices mean for the network’s energy consumption , 2021 .
[16] Jiahai Yuan,et al. Analyzing the effect of natural gas, nuclear energy and renewable energy on GDP and carbon emissions: A multi-variate panel data analysis , 2020 .
[17] A.W.G. de Vries,et al. Bitcoin’s energy consumption is underestimated: A market dynamics approach , 2020 .
[18] Tian Zhang,et al. CO2 Emissions, Energy Consumption, and Economic Growth Nexus: Evidence from 30 Provinces in China , 2020 .
[19] M. Bein,et al. Renewable energy, non-renewable energy, and economic growth: evidence from 26 European countries , 2020, Environmental Science and Pollution Research.
[20] Dean Fantazzini,et al. Does the Hashrate Affect the Bitcoin Price? , 2020, Journal of Risk and Financial Management.
[21] Rangan Gupta,et al. High-Frequency Predictability of Housing Market Movements of the United States: The Role of Economic Sentiment , 2020, Journal of Behavioral Finance.
[22] Yongmiao Hong,et al. Policy assessments for the carbon emission flows and sustainability of Bitcoin blockchain operation in China , 2020, Nature Communications.
[23] E. Strehle,et al. Exclusive Mining of Blockchain Transactions , 2020, SSRN Electronic Journal.
[24] Lena Klaaßen,et al. Energy Consumption of Cryptocurrencies Beyond Bitcoin , 2020, Joule.
[25] L. Gil‐Alana,et al. The relationship between energy consumption and prices. Evidence from futures and spot markets in Spain and Portugal , 2020, Energy Strategy Reviews.
[26] Gilbert Fridgen,et al. The Energy Consumption of Blockchain Technology: Beyond Myth , 2020, Business & Information Systems Engineering.
[27] T. Aste,et al. The Cost of Bitcoin Mining Has Never Really Increased , 2020, Frontiers in Blockchain.
[28] Rangan Gupta,et al. Oil price uncertainty and movements in the US government bond risk premia , 2020, The North American Journal of Economics and Finance.
[29] P. Molnár,et al. Determinants of the Forward Premium in the Nord Pool Electricity Market , 2020, Energies.
[30] Peter Howson,et al. Tackling climate change with blockchain , 2019, Nature Climate Change.
[31] Ladislav Kristoufek,et al. Bitcoin and Its Mining on the Equilibrium Path , 2019, Energy Economics.
[32] Ladislav Kristoufek,et al. Is Bitcoin a better safe-haven investment than gold and commodities? , 2019, International Review of Financial Analysis.
[33] Christian Stoll,et al. The Carbon Footprint of Bitcoin , 2019, Joule.
[34] Jinqing Peng,et al. Energy consumption of cryptocurrency mining: A study of electricity consumption in mining cryptocurrencies , 2019, Energy.
[35] D. Jenkins,et al. Blockchain technology in the energy sector: A systematic review of challenges and opportunities , 2019, Renewable and Sustainable Energy Reviews.
[36] Max J. Krause,et al. Quantification of energy and carbon costs for mining cryptocurrencies , 2018, Nature Sustainability.
[37] C. Mora,et al. Bitcoin emissions alone could push global warming above 2°C , 2018, Nature Climate Change.
[38] P. Molnár,et al. What Can Explain the Price, Volatility and Trading Volume of Bitcoin? , 2018, Finance Research Letters.
[39] E. Bouri,et al. Spillovers between Bitcoin and other assets during bear and bull markets , 2018 .
[40] L. Smales. Bitcoin as a Safe Haven: Is It Even Worth Considering? , 2018, Finance Research Letters.
[41] Rangan Gupta,et al. Causal effects of the United States and Japan on Pacific-Rim stock markets: nonparametric quantile causality approach , 2018, Applied Economics.
[42] A.W.G. de Vries. Bitcoin's Growing Energy Problem , 2018 .
[43] Usama Al-mulali,et al. The impact of coal consumption and CO2 emission on economic growth , 2018 .
[44] B. Ewing,et al. Price volatility and residential electricity decisions: Experimental evidence on the convergence of energy generating source , 2017 .
[45] I. Diaz‐Rainey,et al. Liquidity and Risk Premia in Electricity Futures , 2016, Energy Economics.
[46] Christian Pierdzioch,et al. Terror attacks and stock-market fluctuations: evidence based on a nonparametric causality-in-quantiles test for the G7 countries , 2016 .
[47] Lars Ivar Hagfors,et al. On the Hedge and Safe Haven Properties of Bitcoin: Is it Really More than a Diversifier? , 2016 .
[48] Andrew Urquhart. The Inefficiency of Bitcoin , 2016 .
[49] Katrin Rehdanz,et al. Consumers' willingness to pay for green electricity: A meta-analysis of the literature , 2015 .
[50] R. Weron. Electricity price forecasting: A review of the state-of-the-art with a look into the future , 2014 .
[51] Usama Al-mulali,et al. Investigating the impact of nuclear energy consumption on GDP growth and CO2 emission: A panel data analysis , 2014 .
[52] D. Dijk,et al. Forecasting Day-Ahead Electricity Prices: Utilizing Hourly Prices , 2013 .
[53] D. Bunn,et al. Determinants of the premium in forward contracts , 2012, Journal of Regulatory Economics.
[54] Kiho Jeong,et al. A consistent nonparametric test for nonlinear causality—Specification in time series regression , 2011 .
[55] Alvaro Escribano,et al. Modelling Electricity Prices: International Evidence , 2011 .
[56] R. Weron,et al. Forecasting spot electricity prices: A comparison of parametric and semiparametric time series models , 2008 .
[57] Derek W. Bunn,et al. Forecasting electricity prices: The impact of fundamentals and time-varying coefficients , 2008 .
[58] W. Härdle,et al. A CONSISTENT NONPARAMETRIC TEST FOR CAUSALITY IN QUANTILE , 2007, Econometric Theory.
[59] Cees Diks,et al. A new statistic and practical guidelines for nonparametric Granger causality testing , 2006 .
[60] Cees Diks,et al. A Note on the Hiemstra-Jones Test for Granger Non-causality , 2005 .
[61] R. Weron,et al. Modelling Electricity Prices: Jump Diffusion and Regime Switching , 2004 .
[62] Craig Hiemstra,et al. Testing for Linear and Nonlinear Granger Causality in the Stock Price-Volume Relation , 1994 .
[63] T. Bollerslev,et al. Generalized autoregressive conditional heteroskedasticity , 1986 .
[64] R. Engle. Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation , 1982 .
[65] Rangan Gupta,et al. The role of economic policy uncertainties in predicting stock returns and their volatility for Hong Kong, Malaysia and South Korea , 2019, International Review of Economics & Finance.
[66] P. Perron,et al. Computation and Analysis of Multiple Structural-Change Models , 1998 .
[67] B. LeBaron,et al. A test for independence based on the correlation dimension , 1996 .