Weather, Demand and Natural Gas Futures Price Volatility in the UK

The dissertation deals with modelling of natural gas demand and natural gas futures price volatility with weather variables of the United Kingdom. The first chapter introduces some basic concept like volatility and background information of natural gas market in the UK. The second part is the litera...

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Main Author: Yang, Yuntao
Format: Dissertation (University of Nottingham only)
Language:English
Published: 2012
Online Access:https://eprints.nottingham.ac.uk/26002/
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author Yang, Yuntao
author_facet Yang, Yuntao
author_sort Yang, Yuntao
building Nottingham Research Data Repository
collection Online Access
description The dissertation deals with modelling of natural gas demand and natural gas futures price volatility with weather variables of the United Kingdom. The first chapter introduces some basic concept like volatility and background information of natural gas market in the UK. The second part is the literature review on related area and topics. The third chapter introduces the terminology and methodology in this dissertation. In the fourth chapter both linear models and non-linear ARIMA models are used to analyse the natural gas demand and the relationship between natural gas demand and heating degree days. In the fifth chapter a GARCH model is used to analyse the natural gas futures price volatility and the relationship with weather surprise. The final part is the conclusion.
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format Dissertation (University of Nottingham only)
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institution University of Nottingham Malaysia Campus
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language English
last_indexed 2025-11-14T18:54:49Z
publishDate 2012
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spelling nottingham-260022017-10-19T13:16:33Z https://eprints.nottingham.ac.uk/26002/ Weather, Demand and Natural Gas Futures Price Volatility in the UK Yang, Yuntao The dissertation deals with modelling of natural gas demand and natural gas futures price volatility with weather variables of the United Kingdom. The first chapter introduces some basic concept like volatility and background information of natural gas market in the UK. The second part is the literature review on related area and topics. The third chapter introduces the terminology and methodology in this dissertation. In the fourth chapter both linear models and non-linear ARIMA models are used to analyse the natural gas demand and the relationship between natural gas demand and heating degree days. In the fifth chapter a GARCH model is used to analyse the natural gas futures price volatility and the relationship with weather surprise. The final part is the conclusion. 2012 Dissertation (University of Nottingham only) NonPeerReviewed application/pdf en https://eprints.nottingham.ac.uk/26002/1/dissertation_yuntao.pdf Yang, Yuntao (2012) Weather, Demand and Natural Gas Futures Price Volatility in the UK. [Dissertation (University of Nottingham only)] (Unpublished)
spellingShingle Yang, Yuntao
Weather, Demand and Natural Gas Futures Price Volatility in the UK
title Weather, Demand and Natural Gas Futures Price Volatility in the UK
title_full Weather, Demand and Natural Gas Futures Price Volatility in the UK
title_fullStr Weather, Demand and Natural Gas Futures Price Volatility in the UK
title_full_unstemmed Weather, Demand and Natural Gas Futures Price Volatility in the UK
title_short Weather, Demand and Natural Gas Futures Price Volatility in the UK
title_sort weather, demand and natural gas futures price volatility in the uk
url https://eprints.nottingham.ac.uk/26002/