Raw materials commodity price index fluctuation analysis- Application of GARCH Model &MS-GARCH Model

碩士 === 銘傳大學 === 財務金融學系碩士在職專班 === 98 === This research analyzes the feature of commodities future index price. There are four kind of data be adopted in this research. To compare the difference return ratios between MRS-GARCH model and GARCH model we found that all results performed in MRS-GARCH mode...

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Main Authors: Yung-An Cheng, 陳泳安
Other Authors: Chung-Jen Yang
Format: Others
Language:zh-TW
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/28828500268452509522
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spelling ndltd-TW-098MCU052140022015-10-13T19:06:45Z http://ndltd.ncl.edu.tw/handle/28828500268452509522 Raw materials commodity price index fluctuation analysis- Application of GARCH Model &MS-GARCH Model 原物料商品價格指數的波動分析-GARCH模型與MRS_GARCH狀態轉換模型比較 Yung-An Cheng 陳泳安 碩士 銘傳大學 財務金融學系碩士在職專班 98 This research analyzes the feature of commodities future index price. There are four kind of data be adopted in this research. To compare the difference return ratios between MRS-GARCH model and GARCH model we found that all results performed in MRS-GARCH model are quite well than GARCH model. We found that if included the different situation of economy in MRS-GARCH model. It could perform well results. There are three distributions in the assumptions of data. Student’s distribution can state the situation of economy clearly. All of return ratios that mentioned in research are higher in the economic expansion than recession. Conditional variances of indexes of agricultural and metal are higher in expansion than recession. But the index of oil and food has higher conditional variance in recession. All of conditional variances have the feature of high persistence of shock in price except food index. Chung-Jen Yang 楊重任 2010 學位論文 ; thesis 66 zh-TW
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language zh-TW
format Others
sources NDLTD
description 碩士 === 銘傳大學 === 財務金融學系碩士在職專班 === 98 === This research analyzes the feature of commodities future index price. There are four kind of data be adopted in this research. To compare the difference return ratios between MRS-GARCH model and GARCH model we found that all results performed in MRS-GARCH model are quite well than GARCH model. We found that if included the different situation of economy in MRS-GARCH model. It could perform well results. There are three distributions in the assumptions of data. Student’s distribution can state the situation of economy clearly. All of return ratios that mentioned in research are higher in the economic expansion than recession. Conditional variances of indexes of agricultural and metal are higher in expansion than recession. But the index of oil and food has higher conditional variance in recession. All of conditional variances have the feature of high persistence of shock in price except food index.
author2 Chung-Jen Yang
author_facet Chung-Jen Yang
Yung-An Cheng
陳泳安
author Yung-An Cheng
陳泳安
spellingShingle Yung-An Cheng
陳泳安
Raw materials commodity price index fluctuation analysis- Application of GARCH Model &MS-GARCH Model
author_sort Yung-An Cheng
title Raw materials commodity price index fluctuation analysis- Application of GARCH Model &MS-GARCH Model
title_short Raw materials commodity price index fluctuation analysis- Application of GARCH Model &MS-GARCH Model
title_full Raw materials commodity price index fluctuation analysis- Application of GARCH Model &MS-GARCH Model
title_fullStr Raw materials commodity price index fluctuation analysis- Application of GARCH Model &MS-GARCH Model
title_full_unstemmed Raw materials commodity price index fluctuation analysis- Application of GARCH Model &MS-GARCH Model
title_sort raw materials commodity price index fluctuation analysis- application of garch model &ms-garch model
publishDate 2010
url http://ndltd.ncl.edu.tw/handle/28828500268452509522
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