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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Main Authors: Chi-chuan Chen, 陳綺涓
Other Authors: Wei-Che Tsai
Format: Others
Language:en_US
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/gqvfk9
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spelling 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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description 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.
author2 Wei-Che Tsai
author_facet Wei-Che Tsai
Chi-chuan Chen
陳綺涓
author Chi-chuan Chen
陳綺涓
spellingShingle 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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