Pricing CO2 Emission Allowance Derivatives Following Tempered Stable GARCH Models

碩士 === 國立中央大學 === 財務金融研究所 === 99 === Empirical studies show that the hypothesis of normal distribution of residuals was often rejected. Therefore, this paper presents GARCH models with an infinitely divisible distributed innovation, referred to as the classical tempered stable (CTS) GARCH model and...

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Main Authors: Sin- luan Chen, 陳馨灤
Other Authors: Sharon S.Yang
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/90440077858759002347
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spelling ndltd-TW-099NCU053040422017-07-12T04:34:03Z http://ndltd.ncl.edu.tw/handle/90440077858759002347 Pricing CO2 Emission Allowance Derivatives Following Tempered Stable GARCH Models 考量跳躍模型下-碳權衍生性商品之評價 Sin- luan Chen 陳馨灤 碩士 國立中央大學 財務金融研究所 99 Empirical studies show that the hypothesis of normal distribution of residuals was often rejected. Therefore, this paper presents GARCH models with an infinitely divisible distributed innovation, referred to as the classical tempered stable (CTS) GARCH model and the rapidly decreasing tempered stable (RDTS) GARCH model to catch the dynamic process of CO2 emission spot price. This paper compares the performance of normal-GARCH, stable-GARCH, CTS-GARCH, and RDTS-GARCH models using EUAs data obtained from Bluenext environmental exchange and finds that RDTS-GARCH model has a better fitness than others. Our empirical results show the NORMAL-GARCH model tends to overestimate the price of EUAs future options. But the results are virtually similar by using either CTS-GARCH model or RDTS-GARCH model, which means that the model risk of tempered stable-GARCH model is lower. Sharon S.Yang 楊曉文 2011 學位論文 ; thesis 38 zh-TW
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language zh-TW
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description 碩士 === 國立中央大學 === 財務金融研究所 === 99 === Empirical studies show that the hypothesis of normal distribution of residuals was often rejected. Therefore, this paper presents GARCH models with an infinitely divisible distributed innovation, referred to as the classical tempered stable (CTS) GARCH model and the rapidly decreasing tempered stable (RDTS) GARCH model to catch the dynamic process of CO2 emission spot price. This paper compares the performance of normal-GARCH, stable-GARCH, CTS-GARCH, and RDTS-GARCH models using EUAs data obtained from Bluenext environmental exchange and finds that RDTS-GARCH model has a better fitness than others. Our empirical results show the NORMAL-GARCH model tends to overestimate the price of EUAs future options. But the results are virtually similar by using either CTS-GARCH model or RDTS-GARCH model, which means that the model risk of tempered stable-GARCH model is lower.
author2 Sharon S.Yang
author_facet Sharon S.Yang
Sin- luan Chen
陳馨灤
author Sin- luan Chen
陳馨灤
spellingShingle Sin- luan Chen
陳馨灤
Pricing CO2 Emission Allowance Derivatives Following Tempered Stable GARCH Models
author_sort Sin- luan Chen
title Pricing CO2 Emission Allowance Derivatives Following Tempered Stable GARCH Models
title_short Pricing CO2 Emission Allowance Derivatives Following Tempered Stable GARCH Models
title_full Pricing CO2 Emission Allowance Derivatives Following Tempered Stable GARCH Models
title_fullStr Pricing CO2 Emission Allowance Derivatives Following Tempered Stable GARCH Models
title_full_unstemmed Pricing CO2 Emission Allowance Derivatives Following Tempered Stable GARCH Models
title_sort pricing co2 emission allowance derivatives following tempered stable garch models
publishDate 2011
url http://ndltd.ncl.edu.tw/handle/90440077858759002347
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