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研究生: 蘇嘉雄
Sou, Ka Hong
論文名稱: 以財務報表資訊為台灣股票市場建構最適資產配置
The Optimal Asset Allocation According to Financial Statement Information in Taiwan Stock Market
指導教授: 黃泓智
學位類別: 碩士
Master
系所名稱: 商學院 - 風險管理與保險學系
Department of Risk Management and Insurance
論文出版年: 2014
畢業學年度: 102
語文別: 中文
論文頁數: 59
中文關鍵詞: 財務報表股票評分指標資產模型等權重投資策略
外文關鍵詞: financial statement, stock rank index, asset model, equally-weighted strategy
相關次數: 點閱:123下載:6
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  • 本論文以1998年1月至2014年2月台灣股票市場上市、櫃股票作為投資標的,首先利用每季公布之財務報表,以市值、股票月週轉率、負債比率、EPS、ROE及本益比等六項指標篩選股票,並根據ASKSR股票評分指標將股票排序,選出前n檔股票作為投資標的。研究使用樣本內資料估計出多元Gaussian-Copula-GJR(1,1)-t資產模型的參數、以它產生多組資產組合報酬的預測,藉由CRRA效用函數、Mean-Variance效用函數、Sharpe ratio效用函數及CARA效用函數最適化權重進行投資。研究發現使用GJR(1,1)-t模型、ASKSR股票評分指標、10天調整投資組合一次及CARA (λ=1) 效用函數下,投資組合不論在期末淨值或整段投資期間的績效上,都優於等權重投資策略。


    口試委員會審定書------------------------------------------------------------- (i)
    致謝------------------------------------------------------------------------------ (ii)
    摘要----------------------------------------------------------------------------- (iii)
    第一章 緒論
    1.1研究動機與目的---------------------------------------------------- (1)
    1.2研究方法及成果---------------------------------------------------- (2)
    1.3章節概要------------------------------------------------------------- (3)
    第二章 文獻回顧
    2.1股價報酬決定因素------------------------------------------------ (5)
    2.2 GARCH 文獻探討------------------------------------------------ (5)
    2.3 Copula 文獻探討-------------------------------------------------- (7)
    2.4本章小結------------------------------------------------------------ (9)
    第三章 股票型基金資產配置
    3.1證券投資基金簡介------------------------------------------------ (10)
    3.2股票型基金資產配置思考--------------------------------------- (10)
    3.3本章小結---------------------------------------------------------- (12)
    第四章 研究方法
    4.1資產選擇---------------------------------------------------------- (13)
    4.1.1第一階段資產選擇--------------------------------------- (14)
    4.1.2第二階段資產選擇--------------------------------------- (14)
    4.2 資產模型---------------------------------------------------------- (18)
    4.2.1多元Gaussian-Copula-GARCH(1,1)-t資產模型--- (19)
    4.2.2 GARCH(1,1)-t模型參數估計------------------------- (21)
    4.3蒙地卡羅方法--------------------------------------------------- (22)
    4.4市場風險中立的避險策略------------------------------------ (24)
    4.5本章小結--------------------------------------------------------- (24)
    第五章 實驗結果
    5.1資料說明--------------------------------------------------------- (25)
    5.1.1以台灣股票為投資標的-------------------------------- (25)
    5.1.2台灣股票市場買賣股票的交易成本----------------- (25)
    5.2穩健性測試------------------------------------------------------- (26)
    5.2.1 評估投資組合期末績效------------------------------- (27)
    5.2.2 評量投資組合績效------------------------------------- (39)
    5.2.3 四種評量指標的結果---------------------------------- (42)
    5.3本章小結------------------------------------------------------- (45)
    第六章 結論與展望
    6.1結論------------------------------------------------------------- (46)
    6.2展望------------------------------------------------------------- (46)
    參考文獻----------------------------------------------------------------- (48)
    附錄A--------------------------------------------------------------------- (53)

    [1] 陳炫羽. “Asset Modeling with Non-Gaussian Innovation and Applications to Asset Allocation. ” National Chengchi University, 2013

    [2] 孫博辰. “ Dynamic asset allocation with regime-switching Copula. ” National Chengchi University, 2012

    [3] A. Patton, 2006. Modelling asymmetric exchange rate dependence, international economic review 47, 527-556.

    [4] Andrew Ang & Geert Bekaert, 2002a, 2002b. International asset allocation with regime shiftes.

    [5] Ang. A., and J. Chen. 2002. “ Asymmetric Correlations of Equity Portfolios.” Journal of Financial Economics 63:443-94.

    [6] Barr Rosenberg, Kenneth Reid, and Ronald Lanstein. “Persuasive evidence of market inefficiency.” The Journal of Portfolio Management, Spring 1985, Vol. 11, No. 3: pp. 9-16

    [7] Basu, Sanjoy, 1983. “The relationship between earnings yield, market value, and return for NYSE common stocks: Further evidence.” Journal of Financial Economics 12, 129-156.

    [8] Ball, R., and P. Brown. 1968. “An empirical evaluation of accounting income numbers.” Journal of Accounting Research 6 (2): 159-178.

    [9] Corsetti, G., Pericoli, M., Sbracia, M., 2005. "'Some contagion, some interdependence: More pitfalls in tests of financial contagion." Journal of International Money and Finance, 24, 1177-1199.

    [10] D. Pelletier, 2006. Regime switching for dynamic correlations, Journal of econometrics 131, 445-473.

    [11] Daniel B. Nelson. “Conditional Heteroskedasticity in Asset Returns: A New Approach.” Econometrica, Vol. 59,No. 2(Mar., 1991), 347-370.

    [12] Eric Jondeau, Michael Rockinger. “The Copula-GARCH model of conditional
    dependencies: An international stock market application.” Journal of International Money and Finance 25 (2006) 827-853

    [13] Eugene F. Fama and Kenneth R. French. “Common risk factors in the returns on stocks and bonds.” Journal of Financial Economics 33 (1993) 3-56. North-Holland

    [14] Francois longin and Bruno Solnik. “Extreme Correlation of International Equity Markets.” The Journal of finance. Vol. Lv1, No. 2. April 2001

    [15] Garcia R. & Tsafack G., 2011. Dependence structure and extreme comovements in in international equity and bond market, Journal of Banking & Finance Volume 35, 1954-1970.

    [16] Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. " On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.

    [17] Heni Boubaker a, Nadia Sghaier (2012), Portfolio optimization in the presence of dependent financial returns with long memory: A copula based approach. Journal of Banking & Finance.

    [18] H. Manner & O. Reznikova, 2012. A survey on time-varying copulas: specification, simulations, and application. Econometric reviews 31(6), 654-678.

    [19] Hodges, S. (1998). “A Generalization of the Sharpe Ratio and its Appli- cations to Valuation Bounds and Risk Measures”, Working Paper, Financial Options Research Centre, University of Warwick.

    [20] Hentschel, Ludger (1995). "All in the family Nesting symmetric and asymmetric GARCH models". Journal of Financial Economics 39 (1): 71–104

    [21] Hamilton, James D. (1989), “A New Approach to the Economic Analysis of Non-stationary Time Series and the Business Cycle,” Econometrica 57, 357-384

    [22] Harry Markowitz. “Portfolio Selection.” The Journal of Finance, Vol. 7, No. 1. (Mar., 1952), pp. 77-91

    [23] J. C. Rodriguez. “Measuring Financial Contagion: A Copula Approach.” Journal of Empirical Finance, Vol. 14, No. 3,2007

    [24] Joseph D. Piotroski. “Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers.” Journal of Accounting Research. Vol. 38 Supplement 2000

    [25] Joe, H. and Xu, J.J. (1996). The estimation method of inference functions for
    margins for multivariate models. Technical Report 166, Department of Statistics, University of British Columbia.

    [26] Jeffrey Jaffe, Donald B. Keim and Randolph Westerfield. “Earnings Yields, Market Values, and Stock Returns.” The Journal of Finance, Volume 44, Issue 1,pages 135-148, March 1989.

    [27] Jane A.OU and Stephen H. Penman. “Financial statement analysis and the prediction of stock returns.” Journal of Accounting and Economics 11 (1989) 295-329. North-Holland

    [28] L. Chollete, A. Heinen, and A. Valdesogo, 2009. Modelling international financial returns with a multivariate regime switching copula, Journal of Financial Economics 7, 437-480.

    [29] Mohanram, P. (2005). “Separating winners from losers among low book-to-market stocks using financial statement analysis.” Review of Accounting Studies, 133-170.

    [30] O. Candido, F. A. Ziegelmann, J. Duekerc, 2012. Modelling the Dependence Dynamics through Copulas with Regime Switching, Insurance: Mathematics and Economics 50, 346-356.

    [31] Okimoto, T. (2008): New Evidence of Asymmetric Dependence Structures in International Eq- uity Markets, Journal of Financial and Quantitative Analysis, Vol. 43(3), pp. 787-816.

    [32] Patton, A. (2004). On the out-of-sample importance of skewness and asymmetric depend- ence for asset allocation. Journal of Financial Econometrics 2(1), 130–168.

    [33] Rand Kwong Yew Low, Jamie Alcock, Robert Faff and Timothy Brailsford. “Canonical vine copulas in the context of modern portfolio management: Are they worth it?,” The Journal of Banking and Finance, (2013), 37(8) 3085—3099

    [34] Ribeiro, R. & P. Veronesil, 2002. The excess comovement of international stock returns in bad times: a rational expectations equilibrium model, working paper.

    [35] Ribeiro, R. & P. Veronesil, 2002. The excess comovement of international stock returns in bad times: a rational expectations equilibrium model, working paper.

    [36] Robert F. Engle. “Autoregressive Conditional Heteroscedasticity with Estimates of the Variance ofUnited Kingdom Inflation.” Econometrica, Vol. 50, No. 4. (Jul., 1982), pp. 987-1007.

    [37] Stober, T.L., 1992, “Summary financial statement measures and analysis’ forecasts of earnings.” Journal of Accounting and Economics 15. North-Holland

    [38] S.Basu. “Price-Earnings Ratios: A Test of the Efficient Market Hypothesis.” The Journal of Finance, Vol. 32, No. 3 (Jun., 1977), 663-682.

    [39] Sharpe, William F. 1964. “Capital Asset Prices: A Theory of Market Equilibrium under Condi- tions of Risk.” Journal of Finance. 19:3, pp. 425– 42.

    [40] T. Okimoto, 2008. New evidence of asymmetric dependence structures in international equity markets, Journal of financial and quantitative analysis 43, 787-816.

    [41] Tim Bollerslev. “General AutoRegressive Conditional Heteroskedasticity.” Journal of Econometrics 31 (1986) 307-327. North-Holland.

    [42] U. Cherubini & E. Luciano, 2010. Bivariate option pricing with copulas.

    [43] Valeri Zakamouline, Steen Koekebakker. “Portfolio performance evaluation with generalized Sharpe ratios: Beyond the mean and variance.” Journal of Banking & Finance 33 (2009) 1242-1254.

    [44] Victor DeMiguel, Lorenzo Garlappi and Raman Uppal, “Optimal Versus Naive Diversification: How Inefficient is the 1/N Portfolio Strategy?” Rev. Financ. Stud. (2009) 22(5): 1915-1953.

    [45] 賴柏成. “Constructing Portfolios According to Financial Statement Information and Copula-Garch Model in Taiwan Stock Market. ” National Sun Yat-sen University, 2013

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