A Study of lead-lag relationship of Finance Insurance Index,Finance Future and Finance ETF

碩士 === 雲林科技大學 === 財務金融系碩士班 === 96 === This paper uses Granger causality test, vector autoregression, impulse response function and forecast error variance decomposition to test lead-lag relationship and price discover among the finance insurance index, finance future and finance ETF. We use daily cl...

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Main Authors: Shin-chan Huang, 黃信展
Other Authors: Ai-Chi Hsu
Format: Others
Language:zh-TW
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/29242690913969105612
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spelling ndltd-TW-096YUNT53040162015-10-13T11:20:18Z http://ndltd.ncl.edu.tw/handle/29242690913969105612 A Study of lead-lag relationship of Finance Insurance Index,Finance Future and Finance ETF 金融保險類股指數、金融期貨與金融指數股票型基金領先落後關係之研究 Shin-chan Huang 黃信展 碩士 雲林科技大學 財務金融系碩士班 96 This paper uses Granger causality test, vector autoregression, impulse response function and forecast error variance decomposition to test lead-lag relationship and price discover among the finance insurance index, finance future and finance ETF. We use daily closing in prices and return data during 2/1/2007~29/2/2008. The conclusion can be summarized as follows: (1) According to Granger causality model, there is a feedback effect between finance index with finance future and finance future with finance ETF. (2) Base on the VAR model, finance index had better ability about price discover.(3) In the aspect of the impulse response function, finance index would be affected by itself and not by other market. it could also be found in the variance decomposition, finance index had the better account of forecast error variance decomposition. In other words, finance index was the leading indicator of price discover. Ai-Chi Hsu 胥愛琦 2008 學位論文 ; thesis 60 zh-TW
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language zh-TW
format Others
sources NDLTD
description 碩士 === 雲林科技大學 === 財務金融系碩士班 === 96 === This paper uses Granger causality test, vector autoregression, impulse response function and forecast error variance decomposition to test lead-lag relationship and price discover among the finance insurance index, finance future and finance ETF. We use daily closing in prices and return data during 2/1/2007~29/2/2008. The conclusion can be summarized as follows: (1) According to Granger causality model, there is a feedback effect between finance index with finance future and finance future with finance ETF. (2) Base on the VAR model, finance index had better ability about price discover.(3) In the aspect of the impulse response function, finance index would be affected by itself and not by other market. it could also be found in the variance decomposition, finance index had the better account of forecast error variance decomposition. In other words, finance index was the leading indicator of price discover.
author2 Ai-Chi Hsu
author_facet Ai-Chi Hsu
Shin-chan Huang
黃信展
author Shin-chan Huang
黃信展
spellingShingle Shin-chan Huang
黃信展
A Study of lead-lag relationship of Finance Insurance Index,Finance Future and Finance ETF
author_sort Shin-chan Huang
title A Study of lead-lag relationship of Finance Insurance Index,Finance Future and Finance ETF
title_short A Study of lead-lag relationship of Finance Insurance Index,Finance Future and Finance ETF
title_full A Study of lead-lag relationship of Finance Insurance Index,Finance Future and Finance ETF
title_fullStr A Study of lead-lag relationship of Finance Insurance Index,Finance Future and Finance ETF
title_full_unstemmed A Study of lead-lag relationship of Finance Insurance Index,Finance Future and Finance ETF
title_sort study of lead-lag relationship of finance insurance index,finance future and finance etf
publishDate 2008
url http://ndltd.ncl.edu.tw/handle/29242690913969105612
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