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研究生: 唐婷婷
Yanti, Fitri
論文名稱: 時間變異風險對於國際資產價格模型和多元化資產配置之研究:以南非股票市場為例
International Capital Asset Pricing Model and Portfolio Diversification with Time Varying Risk: A Study of the South Africa Stock Market
指導教授: 徐立群
Shu, LihChyun
共同指導教授: 王明隆
Wang, MingLong
學位類別: 碩士
Master
系所名稱: 管理學院 - 會計學系
Department of Accountancy
論文出版年: 2010
畢業學年度: 98
語文別: 英文
論文頁數: 39
中文關鍵詞: ICAPM市場整合Garch-M全球化風險區域性風險貨幣風險
外文關鍵詞: ICAPM, Market integration, Garch-M, Global risk, Local risk, Currency risk
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  • 現代投資組合理論提出在發展中以及已開發國家之國際多元化投資組合對其績效有著正面的影響。當資金在國外市場被交易或是定價的同時,需要考慮資金市場的組合性或是分散性。本研究探討南非、美國以及全國市場之潛在組合;由於過去幾年南非市場蓬勃發展,並已逐漸影響全世界的資金市場,所以將開發中國家和已開發國家的市場之整合作為本研究探討之議題所在。

    本研究利用條件式(conditional)國際資產定價模型探討於南非股票市場是否考量國際和區域市場風險以及貨幣風險。本資料是以2002年2月至2010年3月的月資料所構成。本研究以美國投資者觀點為出發點,衡量美國以及南非指標的報酬率,並以美金作為衡量的標準。此外,此評估模式為使用改量後之多元化GARCH-M模型,風險的定價方式為定值,並允許在分析的市場中擁有條件式的變異以及共變異數。

    本研究指出南非以及美國市場存在非條件式(unconditional)之全球化風險,但是缺乏區域性的風險,此結論和過去的理論及研究呈現一致性;再者,貨幣風險亦存在於南非與美國市場中。由此可見,美國投資者似乎較不關心區域性的風險;然而如果他們投資南非的市場,較會考量貨幣的風險。一旦投資組合管理者期望將投資報酬和風險之間的關係最佳化,至少以本研究所指出之南非市場為例,當投資者需要衡量最佳化關鍵的因素時,貨幣風險需要納入考量。

    Modern portfolio theory suggests that the international diversification of portfolio of emerging market and developed market has a positive effect on its performance. When assets are traded and priced in foreign markets, the integration or segregation of the capital markets must be taken into consideration. In the current thesis, I study the potential integration of South Africa and U.S markets with the world market. The emerging markets of South Africa have enjoyed remarkably rapid economic growth in the past decades and are gaining increased influence in the world capital markets. Therefore, the integration of these markets with developed markets deserves closer attention.

    This thesis investigate whether global and local market risks as well as the currency risk are priced in the South African stock market using conditional international asset pricing models. The observation consists of monthly data from February 2002 to March 2010. This study takes the view of US investors and measures all returns of the US and South Africa indices in US dollars. The estimation is conducted using a modified version of the multivariate GARCH-M framework with constant prices of risk specification. The approach allows for conditional variance and covariance processes between analyzed markets.

    The results show that the unconditional price of world risk is positive and significant with reasonable values, which is in line with the theory and earlier studies. However, local risks are not priced both in the South African as well as the US market. Finally, the currency risk is priced in the South African stock market. In other words, US investors seem not to put a lot of concern about what happens in the local market except for the currency risk when investing in South Africa. When portfolio managers aim to optimize the return–risk relationship, the results indicate that at least in the case of South Africa, one should account for the currency risk when calculating the key inputs for the optimization.

    ABSTRACT III 中文摘要 IV ACKNOWLEDGEMENT V TABLE OF CONTENTS VI LIST OF TABLES VIII LIST OF FIGURES IX CHAPTER 1 INTRODUCTION 1 1.1 International Capital Asset Pricing Model and Market Integration 1 1.2 Research Objectives and Motivations 1 1.3 Research Contributions 2 1.4 South Africa and the Johannesburg Stock Exchange 2 CHAPTER 2 LITERATURE REVIEW 4 2.1 Literature Review on Time Varying Risks 4 2.2 Literature Review on Market Integration in Developed Markets 4 2.3 Literature Review on Market Integration in Emerging Markets 5 2.4 Literature Review on Global Risk, Local Risk and Currency Risk 6 2.5 Literature Review on the South Africa Research 6 2.6 Literature Review on the Global and Local Variables 7 2.6.1 Dividend Yield 7 2.6.2 Changes in US Term Premium 7 2.6.3 Currency Risk 8 2.6.4 Inflation Rate 8 2.6.5 Changes in the Price of Gold Bullion 9 2.6.6 Interest Rates 9 2.6.7 US Consumer Confidence Index 9 CHAPTER 3 DATA AND METHODOLOGY 11 3.1 Data 11 3.1.1 ALSI 40 11 3.1.2 S&P 500 11 3.1.3 MSCI EAFE 12 3.2 Variables 12 3.2.1 Global Variables 13 3.2.2 Local Variables 14 3.2.3 Dummy Variables 14 3.3 Methodology 15 3.3.1 Theoretical Backgrounds 15 3.3.2 Empirical Formulation 16 CHAPTER 4 RESULTS 19 4.1 General Statistics 19 4.2 Empirical Results 22 4.2.1 Conditional international CAPM with constant price of global risk 22 4.2.2 Conditional international CAPM with constant price of global and local risks 24 4.2.3 Conditional International CAPM with constant prices of global and currency risks 25 4.2.4 Conditional International CAPM with constant prices of currency, global and local risks 27 CHAPTER 5 SUMMARY AND CONCLUSIONS 33 REFERENCES 35

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