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Predicting the Price of Carbon

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Author :
Release : 2016
Genre :
Kind : eBook
Book Rating : 137/5 ( reviews)

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Book Synopsis Predicting the Price of Carbon by : Edward J. Coe

Download or read book Predicting the Price of Carbon written by Edward J. Coe. This book was released on 2016. Available in PDF, EPUB and Kindle. Book excerpt:

Pricing and Forecasting Carbon Markets

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Release : 2017-05-09
Genre : Business & Economics
Kind : eBook
Book Rating : 186/5 ( reviews)

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Book Synopsis Pricing and Forecasting Carbon Markets by : Bangzhu Zhu

Download or read book Pricing and Forecasting Carbon Markets written by Bangzhu Zhu. This book was released on 2017-05-09. Available in PDF, EPUB and Kindle. Book excerpt: This book applies the multidisciplinary approaches of econometrics, statistics, finance and artificial intelligence for pricing and forecasting the carbon market in the context of managerial issues. It explores the related issues of pricing and forecasting the carbon market using theoretical models and empirical analyses, demonstrating how the carbon market, as a policy-based artificial market, is complex and influenced by both the market mechanisms and the external heterogeneous environments. By integrating the features of analytical systems, it offers insights to further our scientific understanding of the pricing mechanism and the variable laws governing the carbon market. Moreover, it lays a foundation for dealing with climate change in China and constructing a national carbon market there. Ultimately, it actively contributes to the energy saving and CO2 emission reduction promoted by the carbon market. The carbon market, represented by the European Union Emissions Trading System (EU ETS), is a cost-effective measure for tackling climate change. Furthermore, pricing and forecasting carbon market has been one of the research focuses in the fields of energy and climate change. As a policy tool of the trading mechanism, the carbon market offers a great institutional innovation for coping with climate change. Due to its multiple advantages including saving costs and environment protection, and political feasibility, more and more countries including China have applied the carbon market for carbon dioxide (CO2) emission reduction. Accurately understanding the pricing mechanism and mastering the fluctuating law of carbon market is essential to build a national carbon market for China.

Predicting the Price of Carbon

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Author :
Release : 2019
Genre : Carbon offsetting
Kind : eBook
Book Rating : 106/5 ( reviews)

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Book Synopsis Predicting the Price of Carbon by : Richard H. Clarke

Download or read book Predicting the Price of Carbon written by Richard H. Clarke. This book was released on 2019. Available in PDF, EPUB and Kindle. Book excerpt:

Transfer Prediction for the Price Volatility of Carbon Trading with Hybrid Gated Recurrent Unit

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Release : 2023
Genre :
Kind : eBook
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Book Synopsis Transfer Prediction for the Price Volatility of Carbon Trading with Hybrid Gated Recurrent Unit by : Jianshu Hao

Download or read book Transfer Prediction for the Price Volatility of Carbon Trading with Hybrid Gated Recurrent Unit written by Jianshu Hao. This book was released on 2023. Available in PDF, EPUB and Kindle. Book excerpt: Carbon trading is a market-based mechanism for reducing greenhouse gas emissions that provides economic incentives for mitigating climate change and promotes the development of a low-carbon economy. However, China's carbon trading market is still only in the early stages of its development. The late establishment of the trading mechanism in this emerging market has led to limited data availability for deep learning modeling. Consequently, accurately predicting the price volatility in China's carbon trading market is a challenging task. To address this issue, we propose a hybrid model that integrates generalized autoregressive conditional heteroskedasticity (GARCH) and gated recurrent unit (GRU) to predict the volatility of carbon price. A transfer learning (TL) model is developed based on the hybrid (baseline) model to achieve comparable prediction accuracy to ordinary deep learning but with a significant reduction in required training data. The effectiveness of the TL model is verified through an ablation study method. Furthermore, we propose a new factor to measure the transferability of TL, enabling us to verify the effectiveness of TL before actual modeling and provide relevant guidance for time series data selection of source domains. Finally, we present the empirical results based on actual data to demonstrate the superiority of the proposed transfer learning framework in predicting carbon trading price volatility as well as the effectiveness of the proposed transferability measurement factor.

The Citizen's Guide to Climate Success

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Release : 2020-02-06
Genre : Business & Economics
Kind : eBook
Book Rating : 375/5 ( reviews)

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Book Synopsis The Citizen's Guide to Climate Success by : Mark Jaccard

Download or read book The Citizen's Guide to Climate Success written by Mark Jaccard. This book was released on 2020-02-06. Available in PDF, EPUB and Kindle. Book excerpt: Shows readers how we can all help solve the climate crisis by focusing on a few key, achievable actions.

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