Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.818998
Title: Forward-backward stochastic differential equations and applications to carbon emissions markets
Author: Chotai, Hinesh
ISNI:       0000 0004 9356 797X
Awarding Body: Imperial College London
Current Institution: Imperial College London
Date of Award: 2019
Availability of Full Text:
Access from EThOS:
Access from Institution:
Abstract:
In this thesis, we study a class of coupled forward backward stochastic differential equations (FBSDEs), called singular FBSDEs, which were first introduced in 2013, to model the evolution of emissions and the price of emissions allowances in a carbon market such as the European Union Emissions Trading System. These FBSDEs have two key properties: the terminal condition of the backward equation is a discontinuous function of the terminal value of the forward equation, and the forward dynamics may not be strongly elliptic, not even in a neighbourhood of the singularities of the terminal condition. We first consider a model for an electricity market subject to a carbon market with a single compliance period. We show that the carbon pricing problem leads to a singular FBSDE. This type of model is then extended to a multiperiod emissions trading system in which cumulative emissions are compared with a cap at multiple compliance times. We show that the multi-period pricing problem is well-posed for various mechanisms linking the trading periods. We then introduce an infinite period model, for a carbon market with a sequence of compliance times and no end date. We show that, under appropriate conditions, the value function for the multi-period pricing problem converges, as the number of periods tends to infinity, to a value function for this infinite period model, and present a setting in which this occurs. Finally, we focus on numerical investigations. For the single period model for an electricity market with emissions trading, the processes and functions appearing in the pricing FBSDE are chosen to model the features of the UK energy market, using historical data. Numerical methods are used to solve the pricing FBSDE, and the results are interpreted. In the future, these could support policies seeking to mitigate the effects of climate change.
Supervisor: Crisan, Dan ; Chassagneux, Jean-François ; Muûls, Mirabelle Sponsor: Engineering and Physical Sciences Research Council ; Climate-KIC
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.818998  DOI:
Share: