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研究生: 秦承偉
Chengwei Qin
論文名稱: 在非確定環境下最優投資組合策略
Optimal Portfolio Strategies Under the Environment with Uncertainties
指導教授: 傅承德
Cheng-Der Fuh
口試委員:
學位類別: 碩士
Master
系所名稱: 理學院 - 統計研究所
Graduate Institute of Statistics
論文出版年: 2013
畢業學年度: 101
語文別: 英文
論文頁數: 68
中文關鍵詞: 不確定性最佳投資策略預測性回歸HJB方程貝氏分析VAR模型
外文關鍵詞: Uncertainties, Optimal portfolio strategy, Predictive regressions, HJB equations, Bayesian analysis, VAR model
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  • 投資者通常無法准確地把握投資期限,因為投資大多時候會因為
    某些意想不到的事情而終止,例如投資代理死亡。但有時他們會知道
    一些與投資期限相關的信息,並由此來決定投資策略。在這篇文章中,
    我們把重點放在分析和討論股票收益率預測性、模型參數不確定性和
    投資期限不確定性等因素對於投資策略的影響上。這個研究包含了兩
    個不同的投資方式。首先,我們通過一個離散的資產分配模型提出了
    買入持有策略,即在投資結束前不會改變資產分配權重;另一方面,
    對於資產分配權重隨着時間變動的動態模型,我們將用到連續時間模
    型。我們嘗試找出二者的最佳投資策略,從而使得在投資結束時所獲
    得的總收益達到最大。


    Mostly, investors fail to accurately determine the length of the investment horizon. In
    many cases, the investment will stop because of some unexpected accidents such as the
    death of the agent. But sometimes they may have other informations related to the length
    of horizon which can give them an access to optimize their portfolio strategies. In this
    paper, we concentrate on investigating how will the portfolio strategies be e ected by the
    stochastic time-horizon and other two uncertainties including returns predictability and
    parameter uncertainty. Our research will involve two di erent investment philosophies.
    Firstly, we analyse the buy-and-hold strategy by a discrete-time model so that the portfolio
    choice can be static until the investment gets nished. On the other hand, we propose the
    continuous-process when considering the allocation weights are dynamic which means the
    strategies will be changed over time. Our primary purposes for both of them are trying
    to nd the optimal strategies which can maximize the wealth in terminal time.

    1 Introduction 1 2 The Buy-and-Hold Portfolio Strategy 4 2.1 The portfolio strategy for a buy-and-hold investor . . . . . . . . . . . . . . 4 2.2 The data description . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 3 Asset Allocation Analysis When Returns Are Independent 15 3.1 The predictive distribution for i.i.d stock returns . . . . . . . . . . . . . . . 15 3.2 Simulation Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 3.2.1 When parameters are certain . . . . . . . . . . . . . . . . . . . . . 18 3.2.2 When parameters are uncertain . . . . . . . . . . . . . . . . . . . . 21 4 Asset Allocation Analysis Under Predictive Regressions 25 4.1 Constructing the predictive distribution under predictive regressions . . . . 25 4.2 Simulation Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 4.2.1 When parameters are certain . . . . . . . . . . . . . . . . . . . . . 27 4.2.2 When parameters are uncertain . . . . . . . . . . . . . . . . . . . . 31 5 From A Perspective Of Dynamic Asset Allocation 35 5.1 Dynamic asset allocation regardless the predictor . . . . . . . . . . . . . . 35 5.1.1 Solution when A = 1 . . . . . . . . . . . . . . . . . . . . . . . . . . 38 5.1.2 Solution when 0 < A < 1 . . . . . . . . . . . . . . . . . . . . . . . . 39 i 5.2 Dynamic asset allocation with predictor . . . . . . . . . . . . . . . . . . . 40 6 Conclusion 45 Reference 48

    Ang, A. and G. Bekaert (2007). Stock return predictability: Is it there? Reviews of
    Financial Studies 20 (3), 651{707.
    Barberis, N. (2000). Investing for the long run when returns are predictable. Journal of
    Finance 5 (1), 225{264.
    Blanchet-Scalliet, N. C., Karoui, and L. Martellini (2005). Dynamic asset pricing theory
    with uncertain time-horizon. Journal of Economic Dynamics and Control 29, 1737{
    1764.
    Blanchet-Scalliet, C., N. Karoui, M. Jeanblanc, and L. Martellini (2008). Optimal investment
    decisions when time-horizon is uncertain. Journal of Mathematical Economics 44,
    1100{1113.
    Bodie, Z. (1995). On the risk of stocks in the long run. Financial Analysis Journal 51,
    18{22.
    Bossaerts, P. and P. Hillion (1999). Implementing statistical criteria to select return
    forecasting models: What do we learn? Reviews of Financial Studies 12 (2), 405{428.
    Bouchard, B. and H. Pham (2004). Wealth-path dependent utility maximization in incomplete
    markets. Finance and Stochastics 8, 579{603.
    Brandt, M. (2010). Portfolio choice problems. In Handbook of Financial Econometrics,
    Volume 1, pp. 269{336.
    48
    Cairns, A., D. Blake, and K. Dowd (2006). Stochastic lifestyling: Optimal dynamic asset
    allocation for de ned contribution pension plans. Journal of Economic Dynamics and
    Control 30, 843{877.
    Campbell, J. (1987). Stock returns and the term structure. Journal of Financial Eco-
    nomics 18, 373{399.
    Campbell, J., G. Chacko, J. Rodriguez, and L. Viceira (2004). Strategic asset allocation
    in a continuous-time var model. Journal of Economic Dynamics and Control 28, 2194{
    2214.
    Campbell, J. and R. Shiller (1988a). The dividend-price ratio and expectations of future
    dividends and discount factors. Review of Financial Studies 1 (3), 195{228.
    Campbell, J. and R. Shiller (1988b). Stock prices, earnings, and expected dividends.
    Journal of Finance 43 (3), 661{676.
    Campbell, J. and S. Thompson (2008). Predicting excess stock returns out of sample: Can
    anything beat the historical average? Reviews of Financial Studies 21 (4), 1509{1531.
    Campbell, J. and L. Viceira (2002). Strategic Asset Allocation: Portfolio Choice for
    Long-Term Investors. Oxford University Press, New York, N.Y.
    Campbell, J. and M. Yogo (2006). Ecient tests of stock return predictability. Journal
    of Financial Economics 81, 27{60.
    Cenesizoglu, T. and A. Timmermann (2012). Do return prediction models add economic
    value? Journal of Banking and Finance 36, 2974{2987.
    Davis, J. (1981). Uncertain lifetime, consumption, and dissaving in retirement. Journal
    of Political Economics 89, 561{577.
    Dellacherie, C. (1972). Capacites et Processus Stochastiques. Springer-Verlag, Berlin.
    49
    Due, D. (1996). Dynamic Asset Pricing Theory, 2nd edition. Princeton University
    Press, Princeton, N.J.
    Fama, E. and K. French (1988a). Dividend yields and expected stock returns. Journal of
    Financial Economics 23, 3{25.
    Fama, E. and K. French (1988b). Permanent and temporary components of stock prices.
    Journal of Political Economics 96, 246{273.
    Fleming, W. and H. Soner (1993). Controlled Markov Processes and Viscosity Solutions.
    Springer-Verlag, New York.
    Goyal, A. and I. Welch (2003). Predicting the equity premium with dividend ratios.
    Management Science 49 (5), 639{654.
    Hakansson, N. (1969). Optimal investment and consumption strategies under risk, an
    uncertain lifetime, and insurance. International Economic Review 10, 443{466.
    Hakansson, N. (1971). Optimal entrepreneurial decisions in a completely stochastic environment.
    Management Science 17, 427{449.
    Hamilton, J. (1994). Time Series Analysis. Princeton University Press, Princeton, N.J.
    Hodrick, R. (1992). Dividend yields and expected stock returns: alternative procedures
    for inference and measurement. Reviews of Financial Studies 5 (3), 357{386.
    Huang, D., S.-S. Zhu, F. Fabozzi, and M. Fukushima (2008). Portfolio selection with
    uncertain exit time: a robust cvar approach. Journal of Economic Dynamics and
    Control 32, 594{623.
    Johnson, R. and D. Wichern (2007). Applied Multivariate Statistical Analysis, 6th edition.
    Englewood Cli s, NJ: Prentice Hall.
    50
    Kandel, S. and R. Stambaugh (1996). On the predictability of stock returns: an assetallocation
    perspective. Journal of Finance I (3), 385{424.
    Karatzas, I. and H.Wang (2000). Utility maximization with discretionary stopping. SIAM
    Journal on Control and Optimization 39 (1), 306{329.
    Keim, D. and R. Stambaugh (1986). Predicting returns in the stock and bond markets.
    Journal of Financial Economics 17, 357{390.
    Kim, T. and E. Omberg (1996). Dynamic nonmyopic portfolio behavior. Reviews of
    Financial Studies 9 (1), 141{161.
    Leung, S. (1994). Uncertain lifetime, the theory of the consumer and the life cycle hypothesis.
    Econometrica 62, 1233{1239.
    Liu, H. and M. Loewenstein (2002). Optimal portfolio selection with transaction costs
    and nite horizons. Reviews of Financial Studies 15, 805{835.
    Liu, J., F. Longsta , and J. Pan (2003). Dynamic asset allocatio with event risk. Journal
    of Finance 8 (1), 231{259.
    Lutkepohl, H. (1993). Introduction to Multiple Time Series Analysis, 2nd edition.
    Springer-Verlag, Berlin.
    Markowitz, H. (1952). Portfolio selection. Journal of Finance 7, 77{91.
    Martellini, L. and B. Urosevic (2006). Static mean-variance analysis with uncertain time
    horizon. Management Science 52 (6), 955{964.
    Merton, R. (1969). Lifetime portfolio selection: the continuous-time case. Review of
    Economics and Statistics 51, 247{251.
    Merton, R. (1971). Optimum consumption and portfolio rules in a continuous-time model.
    Journal of Economic Theory 3, 373{413.
    51
    Merton, R. (1973). An intertemporal capital asset pricing model. Econometrica 41,
    867{888.
    Oksendal, B. (2003). Stochastic Di erential Equations: An Introduction with Applications,
    6th edition. Springer-Verlag, New York.
    Pastor, L. and R. Stambaugh (2009). Predictive systems: Living with imperfect predictors.
    Journal of Finance 14 (4), 1583{1628.
    Pastor, L. and R. Stambaugh (2012). Are stocks really less volatile in the long run?
    Journal of Finance 17 (2), 431{474.
    Pesaran, M. and A. Timmermann (1995). Predictability of stock returns: Robustness and
    economic signi cance. Journal of Finance 50 (4), 1201{1228.
    Pesaran, M. and A. Timmermann (2004). How costly is it to ignore breaks when forecasting
    the direction of a time series? International Journal of Forecasting 20, 411{425.
    Richard, S. (1975). Optimal consumption, portfolio and life insurance rules for an uncertain
    lived individual in a continuous time model. Journal of Financial Economics 2,
    187{203.
    Ruppert, D. (2004). Statistics and Finance: An Introduction. Springer-Verlag, New York.
    Samuelson, P. (1969). Lifetime portfolio selection by dynamic stochastic programming.
    Review of Economics and Statistics 51, 239{246.
    Samuelson, P. (1994). The long-term case for equities. Journal of Portfolio Manage-
    ment Fall, 15{24.
    Siegel, J. (1994). Stocks for the Long Run. Richard D. Irwin, Burr Ridge, III.
    Stambaugh, R. (1999). Predictive regressions. Journal of Financial Economics 54, 375{
    421.
    52
    Timmermann, A. (2008). Elusive return predictability. International Journal of Forecast-
    ing 24, 1{18.
    Wachter, J. and M. Warusawitharana (2009). Predictable returns and asset allocation:
    Should a skeptical investor time the market?. Journal of Econometrics 148, 162{178.
    Xia, Y. (2001). Learning about predictability: the e ects of parameter uncertainty on
    dynamic asset allocation. Journal of Finance 6 (1), 205{246.
    Yaari, M. (1965). Uncertain lifetime, life insurance, and the theory of the consumer.
    Reviews of Financial Studies 32, 137{150.
    Zellner, A. (1971). An Introduction to Bayesian Inference in Econometrics. John Wiley
    and Sons, New York.
    Zhou, X. (2008). Continuous-time asset allocation. In Encyclopedia of Quantitative Risk
    Analysis and Assessment, pp. 366{371.
    53

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