Evaluation of the Performance in MV and MCVaR Models-An Empirical Study on Greater Chinese Stock Markets

碩士 === 淡江大學 === 財務金融學系碩士在職專班 === 99 === The study applies the Mean-Variance Model and Mean-CVaR to construct optimal weighted portfolios comprising stocks used in the TSEC Taiwan 50 Index, Hong Kong’s Hang Seng Index, and China’s CSI 300 Index. The purpose of this paper is to review the performance...

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Main Authors: Hui-Ching Yeh, 葉惠菁
Other Authors: Wo-Chiang Lee
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/26704653154293416408
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spelling ndltd-TW-099TKU053040292015-10-26T04:04:24Z http://ndltd.ncl.edu.tw/handle/26704653154293416408 Evaluation of the Performance in MV and MCVaR Models-An Empirical Study on Greater Chinese Stock Markets MV 及 MCVaR 投資組合模型之績效評估-大中華區股市之實證研究 Hui-Ching Yeh 葉惠菁 碩士 淡江大學 財務金融學系碩士在職專班 99 The study applies the Mean-Variance Model and Mean-CVaR to construct optimal weighted portfolios comprising stocks used in the TSEC Taiwan 50 Index, Hong Kong’s Hang Seng Index, and China’s CSI 300 Index. The purpose of this paper is to review the performance portfolios and find the optimal weights. The stock selection strategies in different regions showing a significant difference between Taiwan, Hong Kong and China. Geometric mean, arithmetic mean, Cumulative Return, Sharpe Ratio, Treynor Ratio, Jensen''s Alpha and the Information Ratio are used to review the performance portfolios in different regions. When the confidence level of 95%, M-CVaR model is superior to M-V model; when the 99% confidence level, the empirical results were inconsistent. However, if observed in all investment regions, the number of wins by the rate of return or cumulative number of comparisons shows that the rate of return, when the confidence level of 95%, M-CVaR model is superior to M-V model, but the M-CVaR or the MV model is superior Index performance is not necessarily. If the performance from three of the total number of investment strategy choice model, when the confidence level of 95%, M-CVaR model is superior to M-V model and M-CVaR model is also better than the market benchmark index performance. By investigating the average divergence with t-test, we analyzed whether or not the average return showed statistical significance between these two models. The results revealed that the performance of different investment strategies only evinced statistical significance from the benchmark index in the case of the average return on investment in Taiwan stocks. In conculsion, our investigation provide investors with recommendations for their investment portfolios. If investors wish to invest in Taiwan, it is recommended that they use the M-CVaR model with a confidence level of 99%. If investment in China or Hong Kong stocks is desired, choosing an index-bound approach will be appropriate. Wo-Chiang Lee 李沃牆 2011 學位論文 ; thesis 75 zh-TW
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description 碩士 === 淡江大學 === 財務金融學系碩士在職專班 === 99 === The study applies the Mean-Variance Model and Mean-CVaR to construct optimal weighted portfolios comprising stocks used in the TSEC Taiwan 50 Index, Hong Kong’s Hang Seng Index, and China’s CSI 300 Index. The purpose of this paper is to review the performance portfolios and find the optimal weights. The stock selection strategies in different regions showing a significant difference between Taiwan, Hong Kong and China. Geometric mean, arithmetic mean, Cumulative Return, Sharpe Ratio, Treynor Ratio, Jensen''s Alpha and the Information Ratio are used to review the performance portfolios in different regions. When the confidence level of 95%, M-CVaR model is superior to M-V model; when the 99% confidence level, the empirical results were inconsistent. However, if observed in all investment regions, the number of wins by the rate of return or cumulative number of comparisons shows that the rate of return, when the confidence level of 95%, M-CVaR model is superior to M-V model, but the M-CVaR or the MV model is superior Index performance is not necessarily. If the performance from three of the total number of investment strategy choice model, when the confidence level of 95%, M-CVaR model is superior to M-V model and M-CVaR model is also better than the market benchmark index performance. By investigating the average divergence with t-test, we analyzed whether or not the average return showed statistical significance between these two models. The results revealed that the performance of different investment strategies only evinced statistical significance from the benchmark index in the case of the average return on investment in Taiwan stocks. In conculsion, our investigation provide investors with recommendations for their investment portfolios. If investors wish to invest in Taiwan, it is recommended that they use the M-CVaR model with a confidence level of 99%. If investment in China or Hong Kong stocks is desired, choosing an index-bound approach will be appropriate.
author2 Wo-Chiang Lee
author_facet Wo-Chiang Lee
Hui-Ching Yeh
葉惠菁
author Hui-Ching Yeh
葉惠菁
spellingShingle Hui-Ching Yeh
葉惠菁
Evaluation of the Performance in MV and MCVaR Models-An Empirical Study on Greater Chinese Stock Markets
author_sort Hui-Ching Yeh
title Evaluation of the Performance in MV and MCVaR Models-An Empirical Study on Greater Chinese Stock Markets
title_short Evaluation of the Performance in MV and MCVaR Models-An Empirical Study on Greater Chinese Stock Markets
title_full Evaluation of the Performance in MV and MCVaR Models-An Empirical Study on Greater Chinese Stock Markets
title_fullStr Evaluation of the Performance in MV and MCVaR Models-An Empirical Study on Greater Chinese Stock Markets
title_full_unstemmed Evaluation of the Performance in MV and MCVaR Models-An Empirical Study on Greater Chinese Stock Markets
title_sort evaluation of the performance in mv and mcvar models-an empirical study on greater chinese stock markets
publishDate 2011
url http://ndltd.ncl.edu.tw/handle/26704653154293416408
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