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Measuring the risk of European carbon market: an empirical mode decomposition-based value at risk approach

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References

1995Journal of the American Statistical Association5,337 cited
2000Value At Risk: The New Benchmark for Managing Financial Risk2,478 cited
1995Techniques for Verifying the Accuracy of Risk Measurement Models2,447 cited
1997An Overview of Value at Risk1,320 cited
1992A Multivariate Exponentially Weighted Moving Average Control Chart1,231 cited
1994Use of Cumulative Sums of Squares for Retrospective Detection of Changes of Variance1,180 cited
2008Price drivers and structural breaks in European carbon prices 2005–2007725 cited
2015RiskMetrics Technical Document661 cited
2005Measuring Market Risk489 cited
2010An overview of current research on EU ETS: Evidence from its operating mechanism and economic effect434 cited
2002Measures of risk325 cited
2015The dynamic volatility spillover between European carbon trading market and fossil energy market280 cited
2015Risk spillovers across the energy and carbon markets and hedging strategies for carbon risk248 cited
2015A decomposition–ensemble model with data-characteristic-driven reconstruction for crude oil price forecasting204 cited
2013Carbon Price Analysis Using Empirical Mode Decomposition

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2014Risk model-at-risk102 cited

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