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研究生: 石智瑋
Shih, Chih-Wei
論文名稱: 以能源型及指數型ETF建構投資組合之策略及績效分析-以0050及新能源ETF為例
The Strategy and Performance Analysis of the Portfolio Constructed with Energy and Index ETFs-Take 0050 and New Energy ETF as Examples
指導教授: 王澤世
Wang, Tse-Shih
學位類別: 碩士
Master
系所名稱: 管理學院 - 財務金融研究所碩士在職專班
Graduate Institute of Finance (on the job class)
論文出版年: 2023
畢業學年度: 111
語文別: 中文
論文頁數: 27
中文關鍵詞: ETF最佳投資組合風險控制TOPSIS法
外文關鍵詞: ETF, Efficient Portfolio, Risk Management, TOPSIS
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  • 2020年至2022年間,隨著各國央行降息加上貨幣寬鬆,使得市場資金充裕,以致於股市不斷創新高,一時之間投資成為人們最炙手可熱的話題。然而獲利必定伴隨著風險,這是市場上不變的定律,對於投資者來說,風險控制的重要性並不亞於如何獲利,甚至猶有過之,因此一個理性的投資者必須思考如何在報酬與風險間取得平衡。故本研究以具備分散風險特性的ETF作為投資工具,並選擇較具未來發展性的新能源產業,以及投資大盤指數的0050作為投資標的,希望能透過投資組合的方式提升投資績效。本研究將以Markowitz的現代投資理論來找出效率最佳的投資組合,並且再針對不同風險偏好的投資者,利用多屬性決策分析的TOPSIS法來分析最適合的投資策略。

    In recent years, with central banks around the world lowering interest rates and implementing loose monetary policies, the market was full of Refugee Capital. This resulted in the stock market continuously hitting records new highs, making investment the hottest topic of discussion for a while. However, profit inevitably comes with risks. This never changes in the market. For investors, risk management is as important as profiting, and even surpass it. Therefore, a rational investor must contemplate how to strike a balance between profit and risks. In this research ETFs with the characteristics of risk diversification are utilized as investment vehicles and both new energy industries with promising growth and 0050 with tracking market index are selected as investment targets for enhancing investment performance through portfolio. In this research I am gonna to utilize Markowitz's modern portfolio theory to figure out the most efficient investment portfolio. Furthermore, one of methods of multiple attribute decision making, TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) is gonna be adopted for analyzing the most suitable investment strategies for investors with different risk preferences.

    摘要 I Summary II Introduction II Methods III Results and Discussion IV Conclusion IV 致謝 V 目錄 VI 表目錄 VII 第一章 緒論 1 第一節 研究背景 1 第二節 研究動機 1 第三節 研究目的 3 第四節 研究架構 3 第二章 文獻回顧 4 第一節 投資組合與降低風險的關聯性 4 第二節 ETF(Exchange Traded Funds) 5 第三節 新能源ETF 6 第三章 資料及研究方法 7 第一節 研究樣本及資料來源 7 第二節 新能源ETF分析 7 第三節 研究方法 9 第四章 實證結果與分析 13 第一節 敘述性統計 13 第二節 投資組合績效 14 第三節 多屬性決策分析 16 第五章 研究結論與建議 24 第六章 參考文獻 26

    1. Acaravci, A., Ozturk I., & Karaman, S. (2019). Dynamic Relationships between Renewable Energy ETFs and Stock Indices: Evidence from the US Markets. Renewable Energy, 14(1), pp874~881
    2. Adzobu, L. D., Agbloyor, E. K.,& Aboagye, A. (2017). The Effect of Loan Portfolio Diversification on Banks’ Risks and Return: Evidence from an Emerging Market. Managerial Finance, 43(11), pp1274~1291
    3. Budish, E. B., Lee, R. S., & Shim, J. J. (2019). A Theory of Stock Exchange Competition and Innovation: Will the Market Fix the Market?. University of Chicago, Becker Friedman Institute for Economics Working Paper, ( No.2019-72)
    4. Day, M. Y., Ni, Y., Hsu, C., & Huang, P. (2022). Do Investment Strategies Matter for Trading Global Clean Energy and Global Energy ETFs ?. Energies, 15(9), 3328
    5. Duan, Y. (2007). A Multi-objective Approach to Portfolio Optimization. Rose-Hulman Undergraduate Math Journal, 8(1), pp.1-18
    6. Ehrgott M., K. Klamroth, & C. Schwehm. (2004). An MCDM Approach to Portfolio Optimization. European Journal of Operational Research, 155(3), pp.752-770.
    7. Elton, E. J., Gruber, M. J., & Busse, J. A. (2004). Are Investors Rational? Choices among Index Funds. Journal of Fianace, 59(1), pp261~288
    8. Elton, E. J., Gruber, M. J., Brown, S. J., & Goetzmann, W. (2002). Modern Portfolio Theory and Investment Analysis. John Wiley, New York, 6th edition
    9. Gavriilidis, K., & Kallinterakis, V. (2019). The Predictability of Sector Exchange-Traded Funds Returns: Evidence from the Energy Sector. International Review of Financial Analysis, 63, pp241-253.
    10. Imlak, S. (2022). Impact of COVID-19 Pandemic on the Energy Markets. Economic Change and Restructuring, 55, pp433~484
    11. Ismail, C., Ahmet, F. S., Arife, Ö. H., &Gizem, V. (2022). The Dynamic Connectedness and Hedging Opportunities of Implied and Realized Volatility: Evidence from Clean Energy ETFs. The North American Journal of Economics and Finance ,60(C), pp1~23
    12. Lo, A. W., & MacKinlay. A. C. (1990). An Econometric Analysis of Nonsynchronous Trading. Journal of Econometrics, 45(1-2), pp181~221
    13. Markowitz, H. (1952). Portfolio Selection. Journal of Finance, 7(1), pp.77-91
    14. Merton, R. C. (1976). Option Pricing when Underlying Stock Returns are Discontinuous. Journal of Financial Economics, 3(1-2), pp125~144
    15. Midilli, A., Dincer, I., & Ay, M. (2006). Green Energy Strategies for Sustainable Development. Energy Policy, 34(18), pp3623~3633
    16. Xu, Y. G., Li, M., Yan, W., & Bai, J. C. (2022). Predictability of the Renewable Energy Market Returns: The Informational Gains from the Climate Policy Uncertainty. Resources Policy, 79, 103141
    17. Yoon, K. P., & Hwang, C. L. (1981). Multiple Attribute Decision Making: Methods and Applications. Lecture Notes in Economics and Mathematical Systems, 186, pp58~206
    18. Yoon, K. P., & Hwang, C. L. (1995). Multiple Attribute Decision Making: An Introduction. Sage Publications, 104
    19. Zeleny, M. (1974). A Concept of Compromise Solutions and the Method of the Displaced Ideal. Computers and Operations Research, 1, pp479~496
    20. 許晉雄,鄒慶士(2010),「兩階段投資組合均值-變異數模式最佳化分析」,經營管理論叢,第六卷第一期,頁49-71。
    21. 新能源ETF價格(2023)。檢自https://www.investing.com/ (Jun.1, 2023)

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