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題名 台灣股市的報酬與風險:三因子與布林通道分析
Returns and Risks of Taiwan’s Stock Market: A Three-Factor and Bollinger Bands Analysis
作者 賴志傑
LAI, JHIH-JIE
貢獻者 黃仁德<br>蕭明福
HUANG, REN-DE<br>SIAO, MING-FU
賴志傑
LAI, JHIH-JIE
關鍵詞 單因子模型
三因子模型
布林通道
回測分析
Single-Factor Model
Three-Factor Model
Bollinger Bands
Backtesting Analysis
日期 2020
上傳時間 4-Sep-2024 14:36:50 (UTC+8)
摘要 本文探討股票報酬與風險之間的關係,以元大台灣50為研究對象,依據元大台灣50股票中的年平均報酬率,分為前5高與後5低,共10檔股票。首先,進行單因子模型迴歸,探討不同年平均報酬率股票的報酬與風險關係。接著,加入規模及淨值市價比因子,進行三因子模型迴歸,探討規模因子及淨值市價比因子對不同年平均報酬率股票之報酬率的影響。第三,建構股票回測基本設定,以布林通道策略作為回測策略,在不同的多空頭市場、經濟景氣的市場狀態下進行股票回測,根據回測的總報酬率與風險指標—最大回撤率、夏普比率、及風報比,分析報酬與風險指標之間的關係。最後,進一步分析在多空頭市場及不同經濟景氣狀態下,使用相同布林通道投資策略買入0050與個股的回測表現比較。 本文研究得到以下的結論:單因子模型迴歸結果,高報酬股票符合高報酬、高市場風險;三因子模型迴歸結果,規模及淨值市價比因子對股票有不同影響;多空頭市場回測結果,高報酬股票在多頭市場存在高報酬、高風險;景氣收縮期、擴張期回測結果,報酬與風險並無明顯相關性;及0050與個股在多空頭市場、收縮期、及擴張期下進行回測結果比較,0050的報酬與風險相對穩定。
This paper explores the relationship between stock returns and risks, focusing on the Yuanta Taiwan 50 as the subject of study. Based on the average annual return rates of the stocks in the Yuanta Taiwan 50, ten stocks were selected—five with the highest returns and five with the lowest. First, a single-factor model regression was conducted to examine the relationship between the returns and risks of stocks with varying average annual return rates. Next, a three-factor model regression was performed, adding size factor and book-to-market ratio factor, to further explore the relationship between these factors and the returns of stocks with different average annual return rates. Third, a stock backtesting setup was constructed using the Bollinger Bands strategy as the backtesting method, which was tested under various market conditions, including bull and bear markets and different economic cycles. The relationship between returns and risk indicators, such as maximum drawdown, Sharpe ratio, and risk-reward ratio, was analyzed based on the backtesting results. Finally, further analysis was conducted on the backtesting performance of purchasing 0050 and individual stocks using the same Bollinger Bands investment strategy under different market conditions and economic cycles. The study concludes as follows: The single-factor model regression results indicate that high-return stocks align with high returns and high market risk; the three-factor model regression results show that size and book-to-market ratio factors have varying impacts on different stocks; the backtesting results in bull and bear markets reveal that high-return stocks exhibit high returns and high risks in bull markets; the backtesting results during economic contraction and expansion periods indicate no significant correlation between returns and risks; and the comparison between 0050 and individual stocks across bull and bear markets, contraction periods, and expansion periods shows that 0050’s returns and risks are relatively stable.
參考文獻 王雍智、張澤、戴宏廩(2011),〈風格投資——臺灣股市的實證〉,《東海管理評論》,13:1,頁1-46。 紀宗利、 晏揚清、 許普同(2020),〈運用程式交易策略——以蘋果、三星股價為例〉,《華人經濟研究》,18:2,頁21-53。 洪榮華、雷雅淇(2002),〈公司規模、股價、益本比、淨值市價比與股票報酬關係之實證研究〉,《管理評論》,21:3,頁25-48。 徐瑀暄、林士貴、蔡瑞煌、林朝陽(2019),〈配對交易與機器學習在台灣股票市場之應用〉,《統計與資訊評論》,19,頁1-37。 薛敏正、葉淑玲、邱彥毅、江壁岑(2018),〈公司治理評鑑與證券報酬〉《中華會計學刊》,14:2,頁261-289。 Arshanapalli, B., C. T. Daniel, and D. John (1998), “Multifactor Asset Pricing Analysis of International Value Investment Strategies,” Journal of Portfolio Management, 24:4, pp. 10-23. Banz, R. W. (1981), “The Relationship between Return and Market Value of Common Stocks,” Journal of Financial Economics, 9:1, pp. 3-18. Brock, W., J. Lakonishok, and B. LeBaron (1992), “Simple Technical Trading Rules and the Stochastic Properties of Stock Return,” Journal of Finance, 47:5, pp. 1731-1764. Fama, E. F. and K. R. French (1993), “Common Risk Factors in the Returns on Stocks and Bonds,” Journal of Financial Economics, 33:1, pp. 3-56. Markowitz, H. (1952), “Portfolio Selection,” Journal of Finance, 7:1, pp. 77-91. Ni, Y., M. Y. Day, P. Huang, and S. R. Yu (2020), “The Profitability of Bollinger Bands:Evidence from the Constituent Stocks of Taiwan 50,” Physica A:Statistical Mechanics and Its Applications, 551:15, pp. 738-751. Sharpe, W. F., J. Lintner, and J. Mossin (1964), “Capital Asset Prices: A Theory of Market Equilibrium under Conditions of Risk,” Journal of Finance, 19:3, pp. 425-442. Tai, C. S. (2003), “Are Fama-French and Momentum Factors Really Priced?” Journal of Multinational Financial Management, 13:5, pp. 359-384.
描述 碩士
國立政治大學
經濟學系
107258019
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0107258019
資料類型 thesis
dc.contributor.advisor 黃仁德<br>蕭明福zh_TW
dc.contributor.advisor HUANG, REN-DE<br>SIAO, MING-FUen_US
dc.contributor.author (Authors) 賴志傑zh_TW
dc.contributor.author (Authors) LAI, JHIH-JIEen_US
dc.creator (作者) 賴志傑zh_TW
dc.creator (作者) LAI, JHIH-JIEen_US
dc.date (日期) 2020en_US
dc.date.accessioned 4-Sep-2024 14:36:50 (UTC+8)-
dc.date.available 4-Sep-2024 14:36:50 (UTC+8)-
dc.date.issued (上傳時間) 4-Sep-2024 14:36:50 (UTC+8)-
dc.identifier (Other Identifiers) G0107258019en_US
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/153283-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 經濟學系zh_TW
dc.description (描述) 107258019zh_TW
dc.description.abstract (摘要) 本文探討股票報酬與風險之間的關係,以元大台灣50為研究對象,依據元大台灣50股票中的年平均報酬率,分為前5高與後5低,共10檔股票。首先,進行單因子模型迴歸,探討不同年平均報酬率股票的報酬與風險關係。接著,加入規模及淨值市價比因子,進行三因子模型迴歸,探討規模因子及淨值市價比因子對不同年平均報酬率股票之報酬率的影響。第三,建構股票回測基本設定,以布林通道策略作為回測策略,在不同的多空頭市場、經濟景氣的市場狀態下進行股票回測,根據回測的總報酬率與風險指標—最大回撤率、夏普比率、及風報比,分析報酬與風險指標之間的關係。最後,進一步分析在多空頭市場及不同經濟景氣狀態下,使用相同布林通道投資策略買入0050與個股的回測表現比較。 本文研究得到以下的結論:單因子模型迴歸結果,高報酬股票符合高報酬、高市場風險;三因子模型迴歸結果,規模及淨值市價比因子對股票有不同影響;多空頭市場回測結果,高報酬股票在多頭市場存在高報酬、高風險;景氣收縮期、擴張期回測結果,報酬與風險並無明顯相關性;及0050與個股在多空頭市場、收縮期、及擴張期下進行回測結果比較,0050的報酬與風險相對穩定。zh_TW
dc.description.abstract (摘要) This paper explores the relationship between stock returns and risks, focusing on the Yuanta Taiwan 50 as the subject of study. Based on the average annual return rates of the stocks in the Yuanta Taiwan 50, ten stocks were selected—five with the highest returns and five with the lowest. First, a single-factor model regression was conducted to examine the relationship between the returns and risks of stocks with varying average annual return rates. Next, a three-factor model regression was performed, adding size factor and book-to-market ratio factor, to further explore the relationship between these factors and the returns of stocks with different average annual return rates. Third, a stock backtesting setup was constructed using the Bollinger Bands strategy as the backtesting method, which was tested under various market conditions, including bull and bear markets and different economic cycles. The relationship between returns and risk indicators, such as maximum drawdown, Sharpe ratio, and risk-reward ratio, was analyzed based on the backtesting results. Finally, further analysis was conducted on the backtesting performance of purchasing 0050 and individual stocks using the same Bollinger Bands investment strategy under different market conditions and economic cycles. The study concludes as follows: The single-factor model regression results indicate that high-return stocks align with high returns and high market risk; the three-factor model regression results show that size and book-to-market ratio factors have varying impacts on different stocks; the backtesting results in bull and bear markets reveal that high-return stocks exhibit high returns and high risks in bull markets; the backtesting results during economic contraction and expansion periods indicate no significant correlation between returns and risks; and the comparison between 0050 and individual stocks across bull and bear markets, contraction periods, and expansion periods shows that 0050’s returns and risks are relatively stable.en_US
dc.description.tableofcontents 謝誌 i 摘要 ii Abstract iii 目次 iv 表次 vi 第一章 緒論 1 第二章 文獻探討 4 第三章 實證模型 9 第一節 三因子模型 9 第二節 布林通道策略 11 第三節 回測基本設定 11 第四章 實證過程與結果 14 第一節 資料來源 14 第二節 因子相關性檢定 14 第三節 單因子模型迴歸結果 15 第四節 三因子模型迴歸結果 17 第五節 回測結果—多空頭市場 18 第六節 回測結果—景氣循環 30 第七節 回測結果—0050 36 一、多空頭市場回測結果—0050 36 二、多頭市場回測結果—0050與高、低報酬股票 37 三、空頭市場回測結果—0050與高、低報酬股票 39 四、收縮期、擴張期回測結果—0050 41 五、收縮期回測結果—0050與高、低報酬股票 42 六、擴張期回測結果—0050與高、低報酬股票 43 第五章 結論 45 參考文獻 47zh_TW
dc.format.extent 1070221 bytes-
dc.format.mimetype application/pdf-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0107258019en_US
dc.subject (關鍵詞) 單因子模型zh_TW
dc.subject (關鍵詞) 三因子模型zh_TW
dc.subject (關鍵詞) 布林通道zh_TW
dc.subject (關鍵詞) 回測分析zh_TW
dc.subject (關鍵詞) Single-Factor Modelen_US
dc.subject (關鍵詞) Three-Factor Modelen_US
dc.subject (關鍵詞) Bollinger Bandsen_US
dc.subject (關鍵詞) Backtesting Analysisen_US
dc.title (題名) 台灣股市的報酬與風險:三因子與布林通道分析zh_TW
dc.title (題名) Returns and Risks of Taiwan’s Stock Market: A Three-Factor and Bollinger Bands Analysisen_US
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) 王雍智、張澤、戴宏廩(2011),〈風格投資——臺灣股市的實證〉,《東海管理評論》,13:1,頁1-46。 紀宗利、 晏揚清、 許普同(2020),〈運用程式交易策略——以蘋果、三星股價為例〉,《華人經濟研究》,18:2,頁21-53。 洪榮華、雷雅淇(2002),〈公司規模、股價、益本比、淨值市價比與股票報酬關係之實證研究〉,《管理評論》,21:3,頁25-48。 徐瑀暄、林士貴、蔡瑞煌、林朝陽(2019),〈配對交易與機器學習在台灣股票市場之應用〉,《統計與資訊評論》,19,頁1-37。 薛敏正、葉淑玲、邱彥毅、江壁岑(2018),〈公司治理評鑑與證券報酬〉《中華會計學刊》,14:2,頁261-289。 Arshanapalli, B., C. T. Daniel, and D. John (1998), “Multifactor Asset Pricing Analysis of International Value Investment Strategies,” Journal of Portfolio Management, 24:4, pp. 10-23. Banz, R. W. (1981), “The Relationship between Return and Market Value of Common Stocks,” Journal of Financial Economics, 9:1, pp. 3-18. Brock, W., J. Lakonishok, and B. LeBaron (1992), “Simple Technical Trading Rules and the Stochastic Properties of Stock Return,” Journal of Finance, 47:5, pp. 1731-1764. Fama, E. F. and K. R. French (1993), “Common Risk Factors in the Returns on Stocks and Bonds,” Journal of Financial Economics, 33:1, pp. 3-56. Markowitz, H. (1952), “Portfolio Selection,” Journal of Finance, 7:1, pp. 77-91. Ni, Y., M. Y. Day, P. Huang, and S. R. Yu (2020), “The Profitability of Bollinger Bands:Evidence from the Constituent Stocks of Taiwan 50,” Physica A:Statistical Mechanics and Its Applications, 551:15, pp. 738-751. Sharpe, W. F., J. Lintner, and J. Mossin (1964), “Capital Asset Prices: A Theory of Market Equilibrium under Conditions of Risk,” Journal of Finance, 19:3, pp. 425-442. Tai, C. S. (2003), “Are Fama-French and Momentum Factors Really Priced?” Journal of Multinational Financial Management, 13:5, pp. 359-384.zh_TW