簡易檢索 / 詳目顯示

研究生: 蘇靖婷
Su, Ching-Ting
論文名稱: 保護性資產配置模型於多元化投資組合的應用:以全球、美國及台灣ETF市場為例
Application of the Protective Asset Allocation Model in Diversified Portfolios: Evidence from Global, U.S., and Taiwan ETF Markets
指導教授: 顏盟峯
Yen, Meng-Feng
學位類別: 碩士
Master
系所名稱: 管理學院 - 財務金融研究所
Graduate Institute of Finance
論文出版年: 2025
畢業學年度: 114
語文別: 中文
論文頁數: 54
中文關鍵詞: 保護性資產配置動能策略最大回撤風險調整後報酬資產配置
外文關鍵詞: Protective Asset Allocation, Momentum Strategy, Maximum Drawdown, Risk-Adjusted Return, Asset Allocation
相關次數: 點閱:3下載:0
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 本研究旨在探討 Keller & Keuning(2016)所提出之保護性資產配置(Protective Asset Allocation, PAA)策略,於全球、美國及台灣ETF市場應用時的投資績效與風險控制效果。傳統資產配置理論雖強調透過分散投資以平衡風險與報酬,但在市場劇烈波動與結構快速變化下,靜態配置策略已無法滿足投資者需求。 PAA 策略結合相對動能與絕對動能指標,並導入保護性資產池與市場廣度機制,透過動態調整風險資產與避險資產之比重,有效降低投資組合波動度與最大回撤。
    本研究以 13 檔具代表性的 ETF 為樣本,涵蓋股票、債券、黃金與不動產等資產類別,樣本期間自 2008 年 11 月至 2025 年 9 月,採用月資料並以自然對數報酬率計算。研究結果顯示, PAA 策略應用於多元化投資組合以全球、美國或台灣ETF市場為例,皆量顯著降低波動度與最大回撤,明顯優於傳統均權組合。其中,高防禦版本PAA2雖報酬略低,但具最佳風險控制能力; PAA0 則兼顧報酬與穩健性,呈現報酬與風險間之良好平衡。
    本研究之貢獻在於補足現有文獻中對台灣市場資產配置策略的不足,並驗證 PAA 策略於不同市場結構下的普適性與穩健性。研究成果對於追求長期穩定報酬之投資者,具有重要參考價值。

    This study aims to examine the investment performance and risk control effectiveness of the Protective Asset Allocation (PAA) strategy proposed by Keller & Keuning (2016) when applied to global, U.S., and Taiwan ETF markets. While traditional asset allocation theories emphasize diversification to balance risk and return, static allocation strategies have become inadequate in the face of increasing market volatility and rapid structural changes. The PAA strategy integrates both relative and absolute momentum indicators, introduces a protective asset pool, and employs a market breadth mechanism to dynamically adjust the proportion between risk and safe assets, thereby reducing portfolio volatility and maximum drawdowns.
    This study selects 13 representative ETFs across various asset classes, including equities, bonds, gold, and real estate. The sample period spans from November 2008 to September 2025, using monthly data and log returns. The empirical results show that when the PAA strategy is applied to diversified portfolios in global, U.S., or Taiwan ETF markets, it significantly reduces volatility and maximum drawdowns, clearly outperforming traditional equal-weighted portfolios. Among the strategy variants, the high-defense version (PAA2) achieves the best risk control, albeit with slightly lower returns, while PAA0 offers a favorable balance between performance and stability.
    The contribution of this study lies in filling the gap in existing literature regarding asset allocation strategies in the Taiwan market and validating the universality and robustness of the PAA strategy across different market structures. The findings offer valuable implications for long-term investors seeking stable returns.

    中文摘要 I ABSTRACT II 致謝 VI 目錄 VII 表目錄 IX 圖目錄 X 第一章、緒論 1 第一節 研究背景與動機 1 第二節 研究目的 3 第三節 研究貢獻 5 第二章、文獻回顧 6 第一節 資產配置的相關研究 6 第二節 動能策略的相關研究 8 第三節 保護型資產配置策略 10 第四節 風險以及最大回測 11 第三章、研究方法 14 第一節 樣本資料來源及選取 14 第二節 PROTECTIVE ASSET ALLOCATION(PAA)策略 17 第三節 回測與模擬 20 第四章、實證結果 22 第一節 資產績效評估指標 22 第二節 未考量交易成本之投資組合績效比較 23 第三節 考量交易成本之投資組合績效比較 26 第四節 定期定額(DCA)策略之實證分析 29 第五章、結論與建議 35 第一節 研究結論 35 第二節 研究限制與建議 36 參考文獻 39

    中文文獻
    林佳儒(2024)。應用大膽資產配置(BAA)策略於中國、香港及台灣金融市場(碩士論文)。國立成功大學財務金融研究所。
    高敬宇(2023)。價格動能與 Omega 二階段排序交易策略:以台灣股票市場為例(碩士論文)。國立中央大學財務金融研究所。
    張育誠(2016)。動能效果與投資組合管理:來自台灣市場的證據。證券市場發展季刊,第28卷第2期,頁85–118。
    陳炳宏與許博翔(2010)。動能策略在台灣股市的實證研究。台大管理論叢,21(1), 45–72。
    黃信勝(2017)。探討防禦型資產配置模型應用於美國股票指數基金的績效(碩士論文)。國立成功大學財務金融研究所。
    劉俊賢(2014)。台灣50成分股投資組合績效與風險分析(碩士論文)。國立政治大學財務管理研究所。
    英文文獻
    Antonacci, G. (2013). Absolute momentum: A simple rule-based strategy and universal trend-following overlay. https://ssrn.com/abstract=2244633
    Anjaneyulu, D., & Manasa, G. (2025). Diversification applications in portfolio management. International Journal of Current Innovations in Research and Advanced Scientific Methods, 7(11), 19–24. http://www.ijciras.com/PublishedPaper/IJCIRAS2008.pdf
    Antonacci, G. (2017). Risk premia harvesting through dual momentum. Journal of Management & Entrepreneurship, 2(1), 27–55. http://dx.doi.org/10.2139/ssrn.2042750
    Benedikt, P. (2025). The power of passive investment: Mastering ETF and index investing. Google Books. https://books.google.com/books?id=4bdTEQAAQBAJ
    Carlson, T. (2025). Defense first: A multi-asset tactical model for adaptive downside protection. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5334772
    Chekhlov, A., Uryasev, S. P., & Zabarankin, M. (2003). Drawdown measure in portfolio optimization. https://ssrn.com/abstract=544742
    Faber, M. (2010). Relative strength strategies for investing. https://ssrn.com/abstract=1585517
    Garmash, D. (2025). Systematic core and core-satellite strategies used by hedge funds and its performance improving. https://papers.ssrn.com/sol3/Delivery.cfm?abstractid=5329731
    Griffin, J. M., Ji, X., & Martin, J. S. (2003). Momentum Investing and Business Cycle Risk: Evidence from Pole to Pole. The Journal of Finance, 58(6), 2515–2547.https://doi.org/10.1046/j.1540-6261.2003.00614.x
    Gu, S., Kelly, B., & Xiu, D. (2020). Empirical asset pricing via machine learning. The Review of Financial Studies, 33(5), 2223–2273. https://doi.org/10.1093/rfs/hhaa009
    Jegadeesh, N., & Titman, S. (1993). Returns to buying winners and selling losers: Implications for stock market efficiency. Journal of Finance, 48(1), 65–91. https://doi.org/10.1111/j.1540-6261.1993.tb04702.x
    Keller, W. J. & van Putten, H. (2012). Generalized momentum and flexible asset allocation (FAA): A heuristic approach. https://doi.org/10.2139/ssrn.2193735
    Keller, W. J. & Keuning, J. W. (2016). Protective asset allocation (PAA): A simple momentum-based alternative for term deposits. https://dx.doi.org/10.2139/ssrn.2759734
    Keller, W. J. & Keuning, J. W. (2017). Vigilant asset allocation (VAA): winning more by losing less. https://dx.doi.org/10.2139/ssrn.3002624
    Keller, W. J. & Keuning, J. W. (2018). Breadth momentum and the canary universe: Defensive asset allocation (DAA). http://dx.doi.org/10.2139/ssrn.3212862
    Keller, W. J. (2019). Growth-Trend Timing and 60-40 Variations: Lethargic Asset Allocation (LAA). https://dx.doi.org/10.2139/ssrn.3498092
    Keller, W. J. (2020). Lazy momentum with growth-trend timing: Resilient asset allocation (RAA). http://dx.doi.org/10.2139/ssrn.3752294
    Keller, B., Centeri, C., Szabó, J.A., Szalai, Z., & Jakab, G. (2021). Comparison of the applicability of different soil erosion models to predict soil erodibility factor and event soil losses on loess slopes in Hungary. Water, 13(24), 3517. https://www.mdpi.com/2073-4441/13/24/3517
    Keller, W. J. (2022). Relative and absolute momentum in times of rising/low yields: Bold asset allocation (BAA). https://dx.doi.org/10.2139/ssrn.4166845
    Keller, W. J. & Keuning, J. W. (2023). Dual and canary momentum with rising yields/inflation: Hybrid asset allocation (HAA). http://dx.doi.org/10.2139/ssrn.4346906
    Magdon-Ismail, M., & Atiya, A. F. (2004). Maximum drawdown. Risk Magazine, 17(10), 99–102. https://ssrn.com/abstract=874069
    Markowitz, H. (1952). Portfolio selection. Journal of Finance, 7(1), 77–91. https://doi.org/10.2307/2975974
    Pavlović, D., Korenak, B., & Stakić, N. (2025). Enhancing risk-adjusted returns for retail investors: An exploration of dual momentum strategies in global sector ETF investing. Serbian Journal of Applied Sciences, 5(1), 45–59. https://aseestant.ceon.rs/index.php/sjas/article/download/56020/27645/
    Płachta, K. (2025). Machine learning for daily return direction forecasting: A comparative study with explainable AI insights. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5445537
    Stakić, N. (2024). Investigating the impact of dual momentum strategies on global ETF portfolio performance. FINIZ Conference Proceedings. https://portal.finiz.singidunum.ac.rs/Media/files/2024/3-7.pdf
    Veliu, D. (2025). Exchange-traded funds (ETFs) optimization with risk parity strategies. Agora International Journal of Economical Sciences, 19(1), 23–31. https://univagora.ro/jour/index.php/aijes/article/download/7163/2349
    Wong, K. F. (2025). Does spot Bitcoin ETF matter? Evidence from four perspectives. Atlantis Highlights in Business and Economics, 3(1), 45–55. https://www.atlantis-press.com/article/126017212.pdf
    Yang, K., Qian, E., & Belton, B. (2019). Protecting the downside of trend when it is not your friend. The Journal of Portfolio Management, 45(5), 99–111. https://doi.org/10.3905/jpm.2019.1.087
    Zafar, Q., Farid, S., Ashraf, M. A., & Ashraf, Z. (2025). Forecasting stock index movement using tree based classifiers: evidence from an emerging economy. Review of Applied Management and Social Sciences, 8(2), 847–871. https://doi.org/10.47067/ramss.v8i2.522

    QR CODE