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The importance for the accurate forecast of carbon emissions affected by many factors is gradually emerging. Carbon emissions usually lag behind the related factors, which cannot be dynamically reflected in the existing grey forecasting models. Therefore, investigating the dynamic lag...

Persistent link: https://www.econbiz.de/10013212823

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CVaR prediction model of the investment portfolio based on the convolutional neural network facilitates the risk management of the financial market

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An explainable financial risk early warning model based on the DS-XGBoost model

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Optimal hybrid framework for carbon price forecasting using time series analysis and least squares support vector machine

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Bitcoin volatility predictability : the role of jumps and regimes

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