Portfolio insurance strategy - Markov switching model applied to asset allocation in Asia
碩士 === 國立中山大學 === 財務管理學系研究所 === 103 === The purpose of this paper is to use macroeconomic indicator and Markov switching model to distinguish different states of market and do dynamic asset allocation based on the transition between regimes to construct a regime-based portfolio. Subsequently, consta...
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ndltd-TW-103NSYS53050132019-05-15T22:17:48Z http://ndltd.ncl.edu.tw/handle/gqvfk9 Portfolio insurance strategy - Markov switching model applied to asset allocation in Asia 投資組合保險策略-馬可夫轉換模型應用於亞洲市場的資產配置 Chi-chuan Chen 陳綺涓 碩士 國立中山大學 財務管理學系研究所 103 The purpose of this paper is to use macroeconomic indicator and Markov switching model to distinguish different states of market and do dynamic asset allocation based on the transition between regimes to construct a regime-based portfolio. Subsequently, constant proportion portfolio insurance strategy is applied to the regime-based portfolio. Finally, we assume different scenarios to compare difference between these performances. We hope to find a strategy that can provide investors a sustained and stable performance. This study refers to Kritzman, Page, and Turkington (2012). We use stock indices and bonds of eight countries in Asia to form our portfolio in the estimation period from 2001 to 2014 on a quarterly basis. The empirical results show that the performance of a regime-based portfolio dynamically adjusted is better than EW, an equal weighted portfolio. In addition, regime-based portfolios perform relatively better than EW in the situation of not allowing selling short. Wei-Che Tsai 蔡維哲 2015 學位論文 ; thesis 56 en_US |
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碩士 === 國立中山大學 === 財務管理學系研究所 === 103 === The purpose of this paper is to use macroeconomic indicator and Markov switching model to distinguish different states of market and do dynamic asset allocation based on the transition between regimes to construct a regime-based portfolio. Subsequently, constant proportion portfolio insurance strategy is applied to the regime-based portfolio. Finally, we assume different scenarios to compare difference between these performances. We hope to find a strategy that can provide investors a sustained and stable performance.
This study refers to Kritzman, Page, and Turkington (2012). We use stock indices and bonds of eight countries in Asia to form our portfolio in the estimation period from 2001 to 2014 on a quarterly basis. The empirical results show that the performance of a regime-based portfolio dynamically adjusted is better than EW, an equal weighted portfolio. In addition, regime-based portfolios perform relatively better than EW in the situation of not allowing selling short.
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Wei-Che Tsai |
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Wei-Che Tsai Chi-chuan Chen 陳綺涓 |
author |
Chi-chuan Chen 陳綺涓 |
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Chi-chuan Chen 陳綺涓 Portfolio insurance strategy - Markov switching model applied to asset allocation in Asia |
author_sort |
Chi-chuan Chen |
title |
Portfolio insurance strategy - Markov switching model applied to asset allocation in Asia |
title_short |
Portfolio insurance strategy - Markov switching model applied to asset allocation in Asia |
title_full |
Portfolio insurance strategy - Markov switching model applied to asset allocation in Asia |
title_fullStr |
Portfolio insurance strategy - Markov switching model applied to asset allocation in Asia |
title_full_unstemmed |
Portfolio insurance strategy - Markov switching model applied to asset allocation in Asia |
title_sort |
portfolio insurance strategy - markov switching model applied to asset allocation in asia |
publishDate |
2015 |
url |
http://ndltd.ncl.edu.tw/handle/gqvfk9 |
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