Loading...
|
Please use this identifier to cite or link to this item:
https://nccur.lib.nccu.edu.tw/handle/140.119/158284
|
Title: | 分量因子迴歸-臺灣股票市場的應用 Quantile Factor Regression: An Application to the Taiwan Stock Market |
Authors: | 陳玉庭 Chen, Yu-Ting |
Contributors: | 徐士勛 Hsu, Shih-Hsun 陳玉庭 Chen, Yu-Ting |
Keywords: | 分量因子模型 時間變動因子負載量 資本資產定價模型 Fama-French 三因子模型 仿射轉換 Quantile Factor Model Time-Varying Factor Loadings Capital Asset Pricing Model Fama-French Three Factor Model Affine Transformation |
Date: | 2025 |
Issue Date: | 2025-08-04 12:52:23 (UTC+8) |
Abstract: | 本論文以臺灣股票市場為研究對象,採用具有分量變動與時間變動因子負載量 (factor loadings) 的分量因子模型 (Quantile Factor Model, QFM) 進行實證分析,探討股票超額報酬在不同分量下與不同變數之間的關係。本研究所使用的模型架構係借鏡自 Atak et al. (2023),有別於傳統僅針對平均值進行估計的線性因子模型,QFM 能夠捕捉在不同分量下的因子異質性,更細緻地呈現超額報酬的動態特徵。 實證方法首先運用傳統的線性迴歸模型,結合區域主成分分析法(Local Principal Component Analysis, LPCA)以估計潛在共同因子及其對應的負載量,並估計控制變數的迴歸係數。第二階段中,將所估得的共同因子納入分量迴歸架構中,進一步以分量的角度分析臺灣股票超額報酬與公司特徵變數、資產定價因子之間的關聯性。 實證結果顯示,市場風險溢酬(MKTRF)、規模因子(SMB)與市帳值比(MBR)在多數分量與模型設定下皆達統計顯著水準,顯示臺灣股票市場中存在明確的「規模效果」與「價值股效果」。整體而言,本研究凸顯了在金融計量模型中採用具彈性與分布敏感性的估計方法之重要性,並有助於更全面地理解股票超額報酬之動態行為。 This thesis examines the presence of common factors in various quantiles of excess stock returns within the Taiwan stock market, using a quantile factor model (QFM) characterized by quantile-varying and time-varying loadings. The empirical model for this research is derived from Atak et al. (2023). In contrast to conventional linear factor models that estimate the sensitivities to observed covariates through a mean process, our methodology captures the heterogeneity in factor exposures across different quantiles, thereby offering a more refined understanding of the dynamics of the variables under investigation. The analysis begins with the application of mean linear regression, supplemented by local principal component analysis (LPCA) to estimate latent common factors, their associated factor loadings, and the coefficients of the control variables. In the subsequent stage, the estimated common factors are incorporated into a quantile regression framework. An empirical analysis of stock excess returns is then conducted, utilizing both firm-specific covariates and common pricing factors within the QFM framework. The findings indicate that market risk premium portfolios (MKTRF), size factor (SMB), and market-to-book ratio (MBR) consistently exhibit statistical significance in various quantiles and model specifications. These results suggest the existence of size and value stock effects within the Taiwan stock market. In general, the results highlight the advantages of employing flexible and distribution-sensitive models in financial econometrics and contribute to a more thorough understanding of the dynamics of returns. |
Reference: | Atak, A., Montes-Rojas, G., and Olmo, J. (2023). “Functional Coefficient Quantile Regression Model with Time-Varying Loadings,” Journal of Applied Economics 26.1. Bai, J. and Ng, S. (2002). “Determining the Number of Factors in Approximate Factor Models,” Econometrica 70.1, pp. 191–221. Bai, L. L. (2013). “An Improvement of the Fama-French Three Factor Asset Pricing Model Based on Nonparametric Methods,” Journal of Management Science & Statistical Decision 10.1, pp. 33–45. Banz, R. W. (1981). “The Relationship between Return and Market Value of Common Stocks,” Journal of Financial Economics 9.1, pp. 3–18. Bhattacharya, S. (1979). “Imperfect Information, Dividend Policy, and “Bird-in-the- Hand” Fallacy,” The Bell Journal of Economics 10.1, pp. 259–270. Cai, Z. and Xu, X. (2008). “Nonparametric Quantile Estimations for Dynamic Smooth Coefficient Models”. Journal of the American Statistical Association 103.484, pp. 1595–1608. Carhart, M. M. (1997). “On Persistence in Mutual Fund Performance,” The Journal of Finance 52.1, pp. 57–82. Chen, L., Dolado, J. J., and Gonzalo, J. (2021). “Quantile Factor Models,” Econometrica 89.1, pp. 875–910. Chen, L. H., Jiang, G. J., and Zhu, K. X. (2017). “Biases in CPAM Beta Estimation,” Advances in Investment Analysis and Portfolio Management 8, pp. 83–103. Cheng, T. C., Lai, H. N., and Tsai, P. F. (2006). “On the Two-Stage Estimation of the Fama-French Three Factor Model: Evidence from Taiwan,” Chiao Da Management Review 26.2, pp. 21–48. Chou, J. H., Chen, Z. Y., and Pan, J. C. (2006). “An Investigation on the Risk-Return Relationship in Taiwan Stock Market: The D-CAPM Approach,” [In Chinese]. Fu Jen Management Review 13.3, pp. 163–189. Chuang, C. C. and Kuan, C. M. (2005). “A Quantile Regression Analysis of Return- Volume Relation : Evidence from Taiwan and the U.S. Stock Exchanges,” [In Chinese]. Academia Economic Papers 33.4, pp. 379–404. Connor, G., Hagmann, M., and Linton, O. (2012). “Efficient Semiparametric Estimation of the Fama-French Model and Extensions,” Econometrica 80.2, pp. 713–754. Del Negro, M. and Otrok, C. (2008). “Dynamic Factor Models with Time-Varying Parameters: Measuring Changes in International Business Cycles,” FRB of New York Staff Report 326. Dey, M. K. (2005). “Turnover and Return in Global Stock Markets,” Emerging Markets Review 6.1, pp. 45–67. Fama, E. F. and French, K. R. (1993). “Common Risk Factors in the Return on Stocks and Bonds,” Journal of Financial Economics 33.1, pp. 3–56. Fama, E. F. and French, K. R. (2015). “A Five-Factor Asset Pricing Model,” Journal of Financial Economics 116.1, pp. 1–22. Galvao, A. F. and Montes-Rojas, G. (2015). “On Bootstrap Inference for Quantile Regression Panel Data: A Monte Carlo Study”. Econometrics 3.3, pp. 654–666. Hu, S. Y. (1998). “The Effect of Turnover on Stock Returns in Taiwan,” [In Chinese]. Journal of Financial Studies 5.4, pp. 1–19. Huang, B. N., Cheng, S. Y., Hou, H., and Wang, C. S. (2009). “An Investigation on the Dynamic Systematic Risk of Taiwan Stock Market,” [In Chinese]. Taipei Economic Inquiry 45.2, pp. 237–272. Hung, C. W., Shiu, C. Y., and Wei, H. S. (2012). “Stock Liquidity and the Choice between Public Offerings and Private Placements,” Journal of Financial Studies 20.4, pp. 1–22. Jareño, F., de la O González, M., and Escolástico, A. M. (2020). “Extension of the Fama and French model: A Study of the Largest European Financial Institutions”. International Economics 164, pp. 115–139. Jensen, M. C. (1986). “Agency Costs of Free Cash Flow, Corporate Finance, and Takeovers,” The American Economic Review 76.2, pp. 323–329. Koenker, R. and Bassett, G. (1978). “Regression Quantiles,” Econometrica 46.1, pp. 33–50. Koenker, R. and Hallock, K. F. (2001). “Quantile Regression,” Journal of Economic Perspectives 15.4, pp. 143–156. Lai, S. J., Lan, Y. L., and Lin, C. H. (2013). “The Effect of Price to Book Ratio on Investment Strategy: Example for Public Firms in Electronics Industry,” [In Chinese]. Journal of Tzu Chi University of Science and Technology 20, pp. 97–136. Lee, L. C., Huang, Y. C., and Chao, W. P. (2014). “A Study on the Relationships among Insider Ownership, Significant Finance and Accounting Policy and Abnormal Return-Publicly Listed Companies in Taiwan and Mainland China,” [In Chinese]. Cross-Strait Banking and Finance 2.3, pp. 107–132. Li, Y., Wu, C. C., and Liu, H. S. (2018). “International and Performance: An Application of Quantile Regressions,” [In Chinese]. NTU Management Review 28.2, pp. 97–128. Miller, M. H. and Modigliani, F. (1961). “Dividend Policy, Growth, and the Valuation of Shares,” The Journal of Business 34.4, pp. 411–433. Roll, R. (1977). “A Critique of the Asset Pricing Theory’s Tests Part 1: on Past and Potential Testability of the Theory,” Journal of Financial Economics 4, pp. 129– 176. Ross, S. A. (1977). “The Determination of Financial Structure: The Incentive- Signalling Approach,” The Bell Journal of Economics 8.1, pp. 23–40. Sharpe, W. F. (1964). “Capital Asset Prices: A Theory of Market Equilibrium under Conditions of Risk,” The Journal of Finance 19.3, pp. 425–442. Su, L. and Wang, X. (2017). “On Time-varying Factor Models: Estimation and Testing,” Journal of Econometrics 198.1, pp. 84–101. Tzang, S. W., Tsai, Y. S., Chang, C. P., and Chen, M. C. (2023). “The Relationship Between Dividend Policy and Stock Abnormal Returns,” [In Chinese]. Art Vision Journal 25, pp. 51–64. Wang, L. H., Cheng, C. C., and Kuo, H. H. (2018). “What does Foreign Securities Houses Concern ? Value or Growth?” [In Chinese]. Review of Securities and Futures Markets 30.2, pp. 1–61. |
Description: | 碩士 國立政治大學 經濟學系 112258033 |
Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0112258033 |
Data Type: | thesis |
Appears in Collections: | [經濟學系] 學位論文
|
Files in This Item:
File |
Description |
Size | Format | |
803301.pdf | | 546Kb | Adobe PDF | 0 | View/Open |
|
All items in 政大典藏 are protected by copyright, with all rights reserved.
|