A Forward-Backward SDEs Approach to Pricing in Carbon Markets (Mathematics of Planet Earth)
暫譯: 碳市場定價的前向-後向隨機微分方程方法(地球數學)
Jean-François Chassagneux
- 出版商: Springer
- 出版日期: 2017-10-14
- 售價: $2,800
- 貴賓價: 9.5 折 $2,660
- 語言: 英文
- 頁數: 112
- 裝訂: Paperback
- ISBN: 3319631144
- ISBN-13: 9783319631141
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商品描述
In Mathematical Finance, the authors consider a mathematical model for the pricing of emissions permits. The model has particular applicability to the European Union Emissions Trading System (EU ETS) but could also be used to consider the modeling of other cap-and-trade schemes. As a response to the risk of Climate Change, carbon markets are currently being implemented in regions worldwide and already represent more than $30 billion. However, scientific, and particularly mathematical, studies of these carbon markets are needed in order to expose their advantages and shortcomings, as well as allow their most efficient implementation.
This Brief reviews mathematical properties such as the existence and uniqueness of solutions for the pricing problem, stability of solutions and their behavior. These fit into the theory of fully coupled forward-backward stochastic differential equations (FBSDEs) with irregular coefficients. The authors present a numerical algorithm to compute the solution to these non-standard FBSDEs. They also carry out a case study of the UK energy market. This involves estimating the parameters to be used in the model using historical data and then solving a pricing problem using the aforementioned numerical algorithm.
The Brief is of interest to researchers in stochastic processes and their applications, and environmental and energy economics. Most sections are also accessible to practitioners in the energy sector and climate change policy-makers.
商品描述(中文翻譯)
在數學金融領域,作者考慮了一個用於定價排放許可證的數學模型。該模型特別適用於歐盟排放交易系統(EU ETS),但也可以用來考慮其他限額與交易計劃的建模。作為應對氣候變化風險的措施,碳市場目前在全球各地實施,並且已經超過300億美元。然而,對這些碳市場進行科學,特別是數學的研究是必要的,以揭示其優勢和缺點,並促進其最有效的實施。
本簡報回顧了定價問題的解的存在性和唯一性、解的穩定性及其行為等數學性質。這些屬於具有不規則係數的完全耦合前向-後向隨機微分方程(FBSDEs)理論。作者提出了一種數值算法來計算這些非標準FBSDEs的解。他們還對英國能源市場進行了案例研究,這涉及使用歷史數據來估計模型中使用的參數,然後使用上述數值算法解決定價問題。
本簡報對隨機過程及其應用、環境和能源經濟學的研究人員具有興趣。大多數部分對能源部門的從業者和氣候變化政策制定者也具有可讀性。