Covariance model for portfolio construction - The case of Taiwan 50 Index

碩士 === 國立高雄第一科技大學 === 風險管理與保險研究所 === 101 === With rapid economic development and a wide range of financial instruments, stock has recently become a heavily used investment tool. Therefore, how to build an optimal stock portfolio is an important issue for the investors. This research uses monthly dat...

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Main Authors: Yu-Min Hung, 洪瑜敏
Other Authors: Chu-Hsiung Lin
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/9zc4m8
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spelling ndltd-TW-101NKIT52180102019-05-15T21:02:53Z http://ndltd.ncl.edu.tw/handle/9zc4m8 Covariance model for portfolio construction - The case of Taiwan 50 Index 以共變異數模型建構投資組合-台灣五十指數為例 Yu-Min Hung 洪瑜敏 碩士 國立高雄第一科技大學 風險管理與保險研究所 101 With rapid economic development and a wide range of financial instruments, stock has recently become a heavily used investment tool. Therefore, how to build an optimal stock portfolio is an important issue for the investors. This research uses monthly data of Taiwan 50 Index from establishment to June 30, 2011 to test equipartition method and Elton et al.’s (1976) covariance model. We used Realized Returns, Jensen Index, Sharpe Index and Treynor Index and return of Taiwan 50 Index to compare performance of portfolio. The empirical results show that : 1. Under comparison of Jensen Index, Sharp Ratio and Treynor Index, for portfolio of constituent stock in Taiwan 50 Index no matter in Geometric Average Method or Simple Average Method, it has better performance in covariance method. 2. If excluded 2 stocks that established within 1 year, under comparison of Jensen Index, Sharp Ratio and Treynor Index, for 48 portfolios of stock in Taiwan 50 Index no matter in Geometric Average Method or Simple Average Method, it has better performance in equipartition method. 3. When ρ=0.4, no matter in Geometric Average Method or Simple Average Method, it has better performance in equipartition method. While ρ=0.6, only under Treynor iii Index that it has better performance in equipartition method of calculated result from Geometric Average Method and it has better performance in covariance method under Sharp Ratio and Jensen Index. Although there are some differences in the results of 50 and 48 portfolios of stock, no matter it is Geometric Average Method or Simple Average Method, it doesn’t defeat market index. It truly has its representation of portfolios of stock for constituent stock in Taiwan 50 Index after being strictly screened top 50 public listed companies. Therefore, if the investors want to invest in Taiwan stock market, ETF can be a reference. Chu-Hsiung Lin 林楚雄 2013 學位論文 ; thesis 55 zh-TW
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description 碩士 === 國立高雄第一科技大學 === 風險管理與保險研究所 === 101 === With rapid economic development and a wide range of financial instruments, stock has recently become a heavily used investment tool. Therefore, how to build an optimal stock portfolio is an important issue for the investors. This research uses monthly data of Taiwan 50 Index from establishment to June 30, 2011 to test equipartition method and Elton et al.’s (1976) covariance model. We used Realized Returns, Jensen Index, Sharpe Index and Treynor Index and return of Taiwan 50 Index to compare performance of portfolio. The empirical results show that : 1. Under comparison of Jensen Index, Sharp Ratio and Treynor Index, for portfolio of constituent stock in Taiwan 50 Index no matter in Geometric Average Method or Simple Average Method, it has better performance in covariance method. 2. If excluded 2 stocks that established within 1 year, under comparison of Jensen Index, Sharp Ratio and Treynor Index, for 48 portfolios of stock in Taiwan 50 Index no matter in Geometric Average Method or Simple Average Method, it has better performance in equipartition method. 3. When ρ=0.4, no matter in Geometric Average Method or Simple Average Method, it has better performance in equipartition method. While ρ=0.6, only under Treynor iii Index that it has better performance in equipartition method of calculated result from Geometric Average Method and it has better performance in covariance method under Sharp Ratio and Jensen Index. Although there are some differences in the results of 50 and 48 portfolios of stock, no matter it is Geometric Average Method or Simple Average Method, it doesn’t defeat market index. It truly has its representation of portfolios of stock for constituent stock in Taiwan 50 Index after being strictly screened top 50 public listed companies. Therefore, if the investors want to invest in Taiwan stock market, ETF can be a reference.
author2 Chu-Hsiung Lin
author_facet Chu-Hsiung Lin
Yu-Min Hung
洪瑜敏
author Yu-Min Hung
洪瑜敏
spellingShingle Yu-Min Hung
洪瑜敏
Covariance model for portfolio construction - The case of Taiwan 50 Index
author_sort Yu-Min Hung
title Covariance model for portfolio construction - The case of Taiwan 50 Index
title_short Covariance model for portfolio construction - The case of Taiwan 50 Index
title_full Covariance model for portfolio construction - The case of Taiwan 50 Index
title_fullStr Covariance model for portfolio construction - The case of Taiwan 50 Index
title_full_unstemmed Covariance model for portfolio construction - The case of Taiwan 50 Index
title_sort covariance model for portfolio construction - the case of taiwan 50 index
publishDate 2013
url http://ndltd.ncl.edu.tw/handle/9zc4m8
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