簡易檢索 / 詳目顯示

回結果列表
研究生： 黃冠騰
Hung, Kung-Teng
論文名稱： 狀態轉換模型下的因子投資
Regime-Switching Factor Investing
指導教授： 賴慧文
Lai, Whuei-Wen
口試委員： 賴慧文
Lai, Whuei-Wen
蔡蒔銓
Tsai, Shih-Chuan
張森林
Chung, San-Lin
口試日期： 2022/08/31
學位類別： 碩士
Master
系所名稱： 管理研究所
Graduate Institute of Management
論文出版年： 2022
畢業學年度： 110
語文別： 中文
論文頁數： 37
中文關鍵詞： 因子投資 、因子風格投組 、MS-VAR(1)模型
英文關鍵詞： Factor investment, Factor based portfolio, Markov-switching first-odre vector autoregressive model
DOI URL： http://doi.org/10.6345/NTNU202201402
論文種類： 學術論文
相關次數： 點閱：102  下載：19 
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

    • 在各個市場與金融商品中，透過曝險於不同的因子所形成不同的因子風格，能夠換取特定的因子溢酬，此一投資方式為：「因子投資」，或可稱 ”Smart Beta”。隨著這種投資方式逐漸受到金融市場投資人的青睞，甚至打入投資人心中成為主流的投資方法下，本研究利用SL Chung, CY Yeh (2011)中部分相同的研究方法：MS-VAR(1)模型(Markov switching vector autoregressive model)，亦即將不同市場景況(Regime)結合至VAR結構，以增進不同因子風格投資組合報酬率可預測性。
    經實證後發現：(1) 預測變數在狀態2(景氣較差)時，預測效果較佳；(2) 對於大型股的預測能力較小型股來的顯著；(3) 淨值市價比所生成的平滑機率曲線與「景氣對策分數」對比後，發現較有顯著的預測效果；(4) Fama and French (1992,1993,2018) 的因子風格中，動能因子與PH Chou, YF Liu (2000) 所得的結論相符，其可能不存在於臺灣的金融市場當中。

    This study examined the predictive patterns of stock return under different group’s characteristics and the state of the regime. The main purpose of this study was to examine the predict power between the relationship of predictor variables (Dividends index of listed company, Default premium, Secondary market interest rate (percent per annum) on 90 day commercial paper disclosed, and 10-Year Treasury Constant Maturity Minus 2-Year Treasury Constant Maturity) and Factor based portfolio (Size, Book-to-market ratios, Profitability, Investment and Momentum). We used Markov-switching first-order vector autoregressive model (MS-VAR(1)) incorporates the information from qualitative binary variables, such as market regimes, into the VAR structure to facilitate exploring predictive patterns in a conditional way. According to our research result, we found that (1) The appearance of factor style depends on the states of the regime；(2) The predict power of predict variables for large-cap is better than small-cap；(3)smooth probability product by book-to-market’s style portfolio more powerful to predict Business Indicator of Taiwan；(4) Momentum does not exist in Taiwan’s main financial market.

    第一章 緒論 1 第一節 研究背景 1 第二節 研究目的 2 第二章 文獻探討 5 第一節 因子模型 5 第二節 因子投資 9 第三節 狀態轉換模型 10 第三章 研究樣本與方法 12 第一節 研究樣本、期間與來源 12 第二節 研究方法 14 第四章 實證結果 19 第一節 淨值市價比 19 第二節 投資模式 21 第三節 動能 23 第四節 景氣對策分數 29 第五章 結論與建議 30 參考文獻 32 附錄 35

    1. Chung, S. L., & Yeh, C. Y. (2011). Predicting market regimes and stock returns using investor sentiment. 證券市場發展季刊, 23(2), 1-28.
    2. Thompson, Smart beta funds pass $1tn in assets, financial times, 2017.
    3. Bender, J., Briand, R., Melas, D., & Subramanian, R. A. (2013). Foundations of factor investing. Available at SSRN 2543990.
    4. Gray, S. F. (1996). Modeling the conditional distribution of interest rates as a regime-switching process. Journal of Financial Economics, 42(1), 27-62.
    5. Maheu, J. M., & McCurdy, T. H. (2000). Identifying bull and bear markets in stock returns. Journal of Business & Economic Statistics, 18(1), 100-112.
    6. Ang, A., & Chen, J. (2002). Asymmetric correlations of equity portfolios. Journal of Financial Economics, 63(3), 443-494.
    7. Guidolin, M., & Timmermann, A. (2008). Size and value anomalies under regime shifts. Journal of Financial Econometrics, 6(1), 1-48.
    8. Nystrup, P., Madsen, H., & Lindström, E. (2018). Dynamic portfolio optimization across hidden market regimes. Quantitative Finance, 18(1), 83-95.
    9. Haase, F., & Neuenkirch, M. (2022). Predictability of bull and bear markets: A new look at forecasting stock market regimes (and returns) in the US. International Journal of Forecasting.
    10. Markowitz, H. (1952). The utility of wealth. Journal of political Economy, 60(2), 151-158.
    11. Sharpe, W. F. (1964). Capital asset prices: A theory of market equilibrium under conditions of risk. Journal of finance, 19(3), 425-442.
    12. Cox, J. C., & Ross, S. A. (1976). A survey of some new results in financial option pricing theory. Journal of Finance, 31(2), 383-402.
    13. Banz, R. W. (1981). The relationship between return and market value of common stocks. Journal of Financial Economics, 9(1), 3-18.
    14. Fama, E. F., & French, K. R. (1992). The cross‐section of expected stock returns. Journal of Finance, 47(2), 427-465.
    15. Jegadeesh, N., & Titman, S. (1993). Returns to buying winners and selling losers: Implications for stock market efficiency. Journal of Finance, 48(1), 65-91.
    16. Novy-Marx, R. (2013). The other side of value: The gross profitability premium. Journal of Financial Economics, 108(1), 1-28.
    17. Aharoni, G., Grundy, B., & Zeng, Q. (2013). Stock returns and the Miller Modigliani valuation formula: Revisiting the Fama French analysis. Journal of Financial Economics, 110(2), 347-357.
    18. Fama, E. F., & French, K. R. (2015). A five-factor asset pricing model. Journal of Financial Economics, 116(1), 1-22.
    19. Fama, E. F., & French, K. R. (2018). Choosing factors. Journal of Financial Economics, 128(2), 234-252.
    20. Harvey, C. R., Liu, Y., & Zhu, H. (2016). … and the cross-section of expected returns. The Review of Financial Studies, 29(1), 5-68.
    21. Podkaminer, E. (2017). Smart beta is the gateway drug to risk factor investing. Journal of Portfolio Management, 43(5), 130-134.
    22. Russell, F. T. S. E. (2016). Alternatively Weighted and Factor Indexes. FTSE Russell Insights, (2).
    23. Hamilton, J. D. (1989). A new approach to the economic analysis of nonstationary time series and the business cycle. Econometrica: Journal of the econometric society, 357-384.
    24. Hassan, M. R., & Nath, B. (2005, September). Stock market forecasting using hidden Markov model: a new approach. In 5th International Conference on Intelligent Systems Design and Applications (ISDA'05) (pp. 192-196). IEEE.
    25. Cont, R., & Voltchkova, E. (2005). A finite difference scheme for option pricing in jump diffusion and exponential Lévy models. SIAM Journal on Numerical Analysis, 43(4), 1596-1626.
    26. Gray, S. F. (1996). Modeling the conditional distribution of interest rates as a regime-switching process. Journal of Financial Economics, 42(1), 27-62.
    27. Maheu, J. M., & McCurdy, T. H. (2000). Identifying bull and bear markets in stock returns. Journal of Business & Economic Statistics, 18(1), 100-112.
    28. Perez‐Quiros, G., & Timmermann, A. (2000). Firm size and cyclical variations in stock returns. Journal of Finance, 55(3), 1229-1262.
    29. Ang, S. O., Chen, H., Hirota, K., Gordeuk, V. R., Jelinek, J., Guan, Y., ... & Prchal, J. T. (2002). Disruption of oxygen homeostasis underlies congenital Chuvash polycythemia. Nature genetics, 32(4), 614-621.
    30. Campbell, J. Y. (1987). Stock returns and the term structure. Journal of Financial Economics, 18(2), 373-399.
    31. Keim, D. B., & Stambaugh, R. F. (1986). Predicting returns in the stock and bond markets. Journal of Financial Economics, 17(2), 357-390.
    32. Perez‐Quiros, G., & Timmermann, A. (2000). Firm size and cyclical variations in stock returns. Journal of Finance, 55(3), 1229-1262.
    33. Chou, P. H., & Liu, Y. F. (2000). The cross section of expected returns in Taiwan: Characteristics, single factor, or multi factors. Review of Securities and Futures Markets, 12(1), 1-32.
    34. Kang, C. H., Wang, H. J., & Chen, N. K. (2017). 中央銀行溝通政策對臺灣利率與匯率之影響. 經濟論文叢刊, 45(3), 421-452.
    35. 徐士勛, & 管中閔. (2001). 九零年代臺灣的景氣循環: 馬可夫轉換模型與紀卜斯抽樣法的應用.
    36. 賀蘭芝.(2017). 因子投資（Factor Investing）再探. J.P. Morgan 銀行「43rd 官方準備管理研討會」

    下載圖示
    QR CODE