1.

Record Nr.

UNINA9910254285103321

Autore

Chassagneux Jean-François

Titolo

A Forward-Backward SDEs Approach to Pricing in Carbon Markets / / by Jean-François Chassagneux, Hinesh Chotai, Mirabelle Muûls

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017

ISBN

3-319-63115-2

Edizione

[1st ed. 2017.]

Descrizione fisica

1 online resource (VI, 104 p. 35 illus., 29 illus. in color.)

Collana

SpringerBriefs in Mathematics of Planet Earth, Weather, Climate, Oceans, , 2509-7326

Disciplina

519.2

Soggetti

Probabilities

Mathematical models

Energy policy

Energy and state

Economics, Mathematical 

Statistics 

Probability Theory and Stochastic Processes

Mathematical Modeling and Industrial Mathematics

Energy Policy, Economics and Management

Quantitative Finance

Statistics for Business, Management, Economics, Finance, Insurance

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

1 A description of the carbon markets and their role in climate change mitigation -- 2 Introduction to Forward-Backward Stochastic Differential Equations -- 3 A mathematical model for carbon emissions markets -- 4 Numerical approximation of FBSDEs -- 5 A case study of the UK energy market -- References. .

Sommario/riassunto

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.