Analyzing the volatility of crude oil price by regime switching GARCH

碩士 === 銘傳大學 === 財務金融學系碩士班 === 98 === In this paper we compare a set of different standard GARCH models with a group of Markov Regime-switch GARCH in terms of their ability of analysis the future price of crude oil. In this paper we adopted three difference prices. We adopted daily, weekly and monthl...

Full description

Bibliographic Details
Main Authors: Ren-Cheng Hwang, 黃任晟
Other Authors: Chung-Jen Yang
Format: Others
Language:zh-TW
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/21236871814682906446
id ndltd-TW-098MCU05214039
record_format oai_dc
spelling ndltd-TW-098MCU052140392015-10-13T19:06:46Z http://ndltd.ncl.edu.tw/handle/21236871814682906446 Analyzing the volatility of crude oil price by regime switching GARCH 以Regime switching GRACH分析石油期貨價格波動度 Ren-Cheng Hwang 黃任晟 碩士 銘傳大學 財務金融學系碩士班 98 In this paper we compare a set of different standard GARCH models with a group of Markov Regime-switch GARCH in terms of their ability of analysis the future price of crude oil. In this paper we adopted three difference prices. We adopted daily, weekly and monthly price. We want to find out the relationship between price frequency and volatility. Though the evidence we could find that each kind of price has characteristics of fat tail, volatility cluster and leverage effect. Besides, we found that daily price and weekly price has characteristic of regime switch. Daily price has low persistence of shock and low ergodic probability. It means that daily price usually has low volatility and if price going to the high volatility regime it would go back to the low volatility regime soon. But weekly price has high persistence on shock. Its shock on price would persist longer. But monthly price do not has the feature of regime switch. Because it’s price always exist in the high volatility regime. Chung-Jen Yang 楊重任 2010 學位論文 ; thesis 55 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 銘傳大學 === 財務金融學系碩士班 === 98 === In this paper we compare a set of different standard GARCH models with a group of Markov Regime-switch GARCH in terms of their ability of analysis the future price of crude oil. In this paper we adopted three difference prices. We adopted daily, weekly and monthly price. We want to find out the relationship between price frequency and volatility. Though the evidence we could find that each kind of price has characteristics of fat tail, volatility cluster and leverage effect. Besides, we found that daily price and weekly price has characteristic of regime switch. Daily price has low persistence of shock and low ergodic probability. It means that daily price usually has low volatility and if price going to the high volatility regime it would go back to the low volatility regime soon. But weekly price has high persistence on shock. Its shock on price would persist longer. But monthly price do not has the feature of regime switch. Because it’s price always exist in the high volatility regime.
author2 Chung-Jen Yang
author_facet Chung-Jen Yang
Ren-Cheng Hwang
黃任晟
author Ren-Cheng Hwang
黃任晟
spellingShingle Ren-Cheng Hwang
黃任晟
Analyzing the volatility of crude oil price by regime switching GARCH
author_sort Ren-Cheng Hwang
title Analyzing the volatility of crude oil price by regime switching GARCH
title_short Analyzing the volatility of crude oil price by regime switching GARCH
title_full Analyzing the volatility of crude oil price by regime switching GARCH
title_fullStr Analyzing the volatility of crude oil price by regime switching GARCH
title_full_unstemmed Analyzing the volatility of crude oil price by regime switching GARCH
title_sort analyzing the volatility of crude oil price by regime switching garch
publishDate 2010
url http://ndltd.ncl.edu.tw/handle/21236871814682906446
work_keys_str_mv AT renchenghwang analyzingthevolatilityofcrudeoilpricebyregimeswitchinggarch
AT huángrènchéng analyzingthevolatilityofcrudeoilpricebyregimeswitchinggarch
AT renchenghwang yǐregimeswitchinggrachfēnxīshíyóuqīhuòjiàgébōdòngdù
AT huángrènchéng yǐregimeswitchinggrachfēnxīshíyóuqīhuòjiàgébōdòngdù
_version_ 1718040215648468992