M-V最优投资组合选择与最优投资消费决策
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摘要
投资组合理论的产生使得数理化方法真正进入到投资领域,使得数理金融学作为金融学的一个独立的分支迅速发展起来。但围绕投资组合理论,过去的一系列研究存在许多不足,如:均值-方差投资组合理论单纯地考虑一个确定的投资时域,并且考虑的市场环境比较简单;投资消费理论考虑的是一类单一的消费品,投资对象仅限于无风险证券和风险证券。而目前市场上消费品与投资对象日益丰富,原来的投资理论的一些结论不能满足实际的需求。为此,本文围绕均值-方差投资组合理论与投资消费理论开展了如下几个方面内容的研究。
     (1) 确定时域的M-V最优投资组合选择。分别建立了股票价格服从跳跃扩散过程、考虑固定消费、市场系数为随机过程这三种情形下的均值-方差模型。运用动态规划原理与鞅方法求解模型,得到了这三种情形下的最优投资策略与有效前沿的解析解。与经典连续时间均值-方差模型进行了比较并通过实例分析了消费对投资的影响。结果表明:(ⅰ)本文的模型拓广了Zhou与Li的经典模型,与实际更加符合;(ⅱ)消费的存在影响投资者对投资策略的选择。在期望收益固定的情况下,消费越多,投资也越多。消费的增加(减少)会引起有效前沿向下(上)平移。从而揭示了固定消费与投资的内在联系。
     (2) 随机时域的M-V最优投资组合选择。建立了离散时间、连续时间与跳跃扩散过程三种市场状态下随机时域的均值-方差模型,定义了相应的有效前沿。对前两种情形考虑退出时间是个随机变量,对最后一种情形考虑退出时间是个随机过程。分别得到了这三种情形下的最优投资策略与有效前沿的解析表达式。通过算例以及与确定时域对应情形的比较,发现:最优投资策略与随机退出时间的分布有关,确定时域的结论只是本文的一种特殊情形。
     (3) 特殊消费的最优投资消费决策。与经典的投资消费问题考虑的消费不同,这里研究的是两类特殊的消费:固定的消费模式、消费对象为可存与非可存消费品的组合。建立了这两类特殊消费情形下的投资消费模型。分别得到了HARA效用函数与可分离、等弹性效用函数情形下的最优投资消费策略的显式解。分析了固定消费、可存消费品对投资的影响。得到了如下结论:(ⅰ)固定消费不会影响投资选择这一直觉并不正确,事实上,消费量越多,投资量会越少。这种影响程度决定于市场风险价格与无风险利率;(ⅱ)最优策略中,对可存品的消费与非可存品的消费决策不一样。因此,在进行投资消费决策时,有必要将消费品中的可存品与非可存品分开来考虑。
     (4) 含期权的最优投资消费决策。随着期权等一系列衍生证券进入金融市场,期权已经日益成为投资者注目的投资对象。为适应实际需要,把一个欧式看涨期权作为一个投资对象,结合期权定价理论,建立了投资消费模型。本文考虑了三种情形:第一种是期权的买卖价格相同、市场系数为常值且风险证券是期权的标的物;第二种是期权的买卖价格相同、风险证券服从跳跃扩散过程而且风险证券是期权的标的物;第三种情形是期权买卖价格不同、市场系数为常值而且风险证券不一定是期权的标的物。分别得到了以上各种情形对应的最优投资消费策略的解析表达式。对第一种情形,还得到了对冲投资消费策略。通过对最优投资消费策略与对冲投资消费策略的分析,得到了如下结论:(ⅰ)当风险证券为期权
    
    的标的物时,最优策略不唯一;当风险证券不是期权的标的物时,最优策略才‘可
    能唯一;(ii)对冲策略一般不是最优策略。
The emergence of portfolio theory really makes mathematical methods enter the investment field. Thus, mathematical finance as an independent branch of the finance theory develops quickly. But there still exist shortcomings in previous study of portfolio theory, such as the mean-variance portfolio theory is only involved with the deterministic time horizon and its market is very simple; The investment consumption theory is only involved with a single consumption good and the investment objects are only a bond and some risky stocks. However, the consumption good and investment object are becoming more various. So the previous some conclusions of investment theory can not satisfy the requirement of real situations. The aim of this paper is to study mean variance portfolio theory and portfolio consumption theory further to fit better real situations. The main results are listed as follows.
    (1) M-V portfolio selection of deterministic time horizon. The mean variance models are formulated respectively in three market cases: (i) The stock prices follow jump diffusion process; (ii) Fixed consumption is considered; (iii) The market coefficients are stochastic processes. By using stochastic dynamic programming principle and martingale approach to solve these models, the optimal investment strategies and the efficient frontier are presented explicitly. By comparing them with conclusions of the classical continuous time model and analyzing the influence of the fixed consumption on investment, the main results are derived as follows: (i) The models discussed here extend the classical model discussed by Zhou and Li[208] and can be better applied to the real situations; (ii) The selection of optimal investment strategies is affected by the fixed consumption. When the final expected return is fixed, investment on stocks grows with the consumption. The efficient frontier moves downward (upward) if consumpt
    ion increase (decrease) . Thus, we characterize the internal relations between investment and consumption.
    (2) M-V portfolio selection of random time horizon. The random time horizon mean variance models corresponding to three market situations :discrete time, continuous time and jump diffusion process are formulated respectively and the relevant efficient frontier is defined. In the former two situations, the exit time is assumed to be a random variable and in the last situation the exit time is assumed to be a stochastic process. By solving the three models respectively, the explicit expressions of the investment strategies and the efficient frontiers are presented. By number example and by comparing the constant time horizon with the random time horizon we find that the portfolio decisions are affected by distribution of the exit time and the random time horizon model extends the constant horizon model as a special case.
    (3) portfolio consumption decision with special consumption. Being different from classical portfolio consumption problem, here two special portfolio consumption problems whose consumption are fixed consumption style and a combination of a perishable with a durable consumption good respectively are considered. The models
    
    
    maximizing utility of consumption or final wealth corresponding to the above two cases are formulated. For the HARA utility function and separable isoelastic utility function, the optimal portfolio and consumption rules are derived explicitly. By analyzing the influences of fixed consumption style and durable consumption good on investment decisions, the following results are presented, (i) The intuition that the portfolio selection decision is not affected by the fixed consumption style is not true. As a fact, investment varies with consumption contrarily. The degree of such influence is decided by market risk price and riskless rate, (ii) The influence of durable consumption good on investment consumption decisions is different from that of perishable consumption good. So it is necessary to consider them separately when one invests and consumes.
    (4) portfolio consumption decision concl
引文
[1] A.E.B. Lim and X.Y. Zhou. Mean-variance portfolio selection with random parameters in a complete market. Mathematics of Operations Research, 2002, 27(1):101-120.
    [2] A.Bensoussan and C.S.Tapiero. Impulse control in management. J.Optim. Theory App.,1982, 37(4):419-442
    [3] A.Cadenillas and S.P.Sethi. The consumption investment problem with subsistence consumption,bankruptcy, and random market coefficients. J.Opt.Theory & Appl.,1997,93(2)
    [4] B.D.DAnderson and J.B.Moore. Optimal Control-Linear Quadratic Methods. Prentice-Hall, Englewood Cliffs, NJ, 1989
    [5] B.N.Ouderri and W.G.Sulliran. A semi-variance model for incorporating risk into capital investment analysis. Journal of the Engineering Economics, 1991, 36(2):35-39.
    [6] B.G.Fitzpatrick and W.H.Fleming. Numerical methods for an optimal investment-consumption model. Math.Oper. Res., 1991,16(4):823-841
    [7] B.ksendal. Some Applications of white noise analysis to mathematical finance. The 52nd Session of the International Statistical Institute, 1999,10-18
    [8] B.ksendal and A.Sulem. Optimal consumption and portfolio with both fixed and proportional transaction costs. SIMA J.Control Optim.,2002, 40(6):1765-1790
    [9] C.Chamley. Optimal taxation of capital income in general equilibrium with infinite lives.Economica, 1986, 54(3):607-622
    [10] C.Dellacherie. Capcites et Processes Stochastiques. Springer-Verlag, Berlin, 1972.
    [11] C.F.Huang and R.H.Litzenberger. Foundations for Financial Economics. New York, North Holland, 1988.
    [12] C.F.Huang and T.Zariphopoulou. Turnpike behavior of long-term investments. Finance and Stochastic. 1999,3:15-34
    
    
    [13] 陈共,周升业,吴晓求.证券投资分析.中国人民大学出版社,北京,2000.
    [14] 陈收,邓小铁,汪寿阳,刘卫国.资本结构变化对投资有效边界的影响.中国管理学报,2001,9(1)6-11.
    [15] 陈收,刘卫国,汪寿阳,邓小铁.资本结构与投资组合优化.预测,2000,1:38-40.
    [16] 陈伟忠.在证券品种可变情况下M-V有效集的漂移分析.西安交通大学学报,1997,31(12):106-110
    [17] 陈伟忠.动态组合投资理论与中国证券资产定价.陕西人民出版社,1999.
    [18] D.Cuoco. A martingale characterization of consumption choices and hedging costs with margin requirements. Mathematical Finance, 2000,10(3):355-385.
    [19] D.Cuoco and H.Liu. Optimal consumption of a divisible durable good. Journal of Economics Dynamics and Control, 2000, 24(4): 561-613.
    [20] D.Duffie. Security Markets Stochastic Models. Academic Press, New York, 1993.
    [21] D.Duffie. Dynamic Asset Pricing. Princeton University Press, New Jersey, 1996.
    [22] D.Duffie and H.Richardson. Mean-Variance hedging in continuous time. Ann. Appl.Probab.1991, 1:1-15.
    [23] D.Heath, S.Orey, V. Pestien and W.Sudderth. Minimizing or maximizing the expected time to reach zero. SIAM J.Control and Optimization, 1987, 25(1):195-205.
    [24] D.D.Yao, S.Z.Zhang and X.Y.Zhou. Stochastic linear-quadratic control via semidefinite programming. SIAM J.Control and Optimization, 2001,40(3):801-823.
    [25] D.Ocone and I.Karatzas. A generalized Clark representation formula with application to optimal portfolios. Stochastics and Stochastics Reports, 1991, 34: 187-220.
    [26] E.F.Fama. Multiperiod consumption-investment decisions. American Economic Review, 1970, 6:163-174.
    [27] E.J.Elton and M.J.Gruber. On the optimality of some multiperiod portfolio selection criteria. Journal of Business, 1974b, 47: 231-243.
    [28] E.N.Barron and R.A.Jensen.Total risk aversion,stochastic optimal control, and differential games. App.Math.Optim., 1989, 19:313-327.
    
    
    [29] E.N.Barron and R.A.Jensen. A stochastic control approach to the pricing of options. Math.Oper.Res., 1990, 15(1):49-79.
    [30] E.P.Jones. Option arbitrage and strategy with large price changes. Journal of Financial Economics, 1984, 13:91-113.
    [31] E.Presman and S.P.Sethi.Risk-aversion behavior in consumption/investment problem.Mathematical Finance, 1991,1(1):100-124.
    [32] E.Presman and S.P.Sethi. Distribution of bankruptcy time in a consumption/portfolio problem. Journal of Economic Dynamics and Control, 1996,20:471-477.
    [33] E.Raroui, S.Peng and M.C.Queez. Backward stochastic differential equations in finance. Mathematical Finance, 1997,7:1-71.
    [34] 复旦大学.概率论.人民教育出版社,1979.
    [35] F.Biagini,P.Guasoni and M.Pratelli. Mean-variance hedging for stochastic volatility models. Mathematical Finance,2000,10(2):109-123.
    [36] F.Black and M.Scholes. The pricing of options and corporate liabilities. Journal of Political Economy, 1973,81:637-659.
    [37] F.B.Hauson and J.J.Westman. Optimal consumption and portfolio control for jump-diffusion stock process with log-normal jumps. Proceeding of the American Control Conference, 2002, 8-10.
    [38] F.E.Benth.,K.H.Karlson and K.Reikvam. Optimal portfolio selection with consumption and nonlinear integro-differential equations with gradient contraint:a viscosity solution approach.Fiance and Stochastics, 2001, 5:275-303.
    [39] F.Modigliani and M.H.Miller. The cost of capital,corporation finance,and the theory of investment. American Economic Review, 1958, 48:261-297.
    [40] Gennote. Optimal portfolio choice under incomplete information. J.Finance, 1986, 41:733-746.
    [41] G.B.D.Masi and L.Stettner. Risk-sensitive control of discrete-time markov processes with infinite horizon. SIAM J. Control and Optimization, 1999, 38(1):61-78.
    
    
    [42] G.P.Szego. Portfolio Theory: with application to bank asset management.New York, Academic Press, 1980.
    [43] 龚光鲁.随机微分方程引论.北京大学出版社,北京,1987.
    [44] 郭尚来.随机控制.清华大学出版社,北京,1999.
    [45] 郭文旌.Markowitz模型的一种神经网络解法.兰州铁道学院学报,2002,21(3):53-57.
    [46] 郭文旌,周幼英,胡奇英.带有初始风险证券的最优组合投资.系统工程学报,2003,18(5):391-396.
    [47] 郭文旌,胡奇英.随机市场系数的M-V最优投资组合选择:一个鞅方法.高校应用数学学报(A辑),2003,18(3):71-78.
    [48] 郭文旌,明宗峰,胡奇英.以可存品与非可存品为消费对象的最优投资消费决策.控制理论与应用,(已录用).
    [49] 郭文旌,胡奇英.带有资本结构因子的投资组合有效边界及其动态性质.数学的实践与认识,(已录用).
    [50] 韩其恒,唐万生,李光泉.概率准则下的两期投资决策问题.管理科学学报,2002,5(1):55-58.
    [51] H.He and H.F.Pages. Consumption and portfolio decisions with labor income and borrowing constraints. Proceeding of the 30th Conference on Decision and Control,1991, 1317-1320.
    [52] H.He and N.Pearson. Consumption and portfolio policies with incomplete market and short-sale constraints:the infinite dimensional case, J.Econ.Theory, 1991, 54:259-304.
    [53] H.Katagiri,H.Ishii.Fuzzy portfolio selection problem. IEEE International Fuzzy Systems Conference, 1999, 973-978.
    [54] H.K.Koo. Consumption and Portfolio Choice with Labor Income:Evaluation of Human Capital,mimeo. Washington University in St.Louis, 1996.
    [55] H.K.Koo. Optimal Consumption and Portfolio Selection with Labor Income: A Synthesis, mimeo. Washington University in St.Louis, 1996.
    
    
    [56] H.K.Koo. Consumption and portfolio selection with labor income: a continuous time approach. Mathematical Fiance, 1998, 8(1):49-65.
    [57] H.Konno and H.Yamazaki. Mean-absolute deviation portfolio optimization model and its application to Tokyo stock market. Management Science, 1991,37:519-531.
    [58] H.Konno and H.Shirakawa. Existence of a nonnegative equilibrium price vector in the mean-variance capital market. Mathematical Finance, 1995, 5(3):235-246.
    [59] H.M.Markowitz. Portfolio selection. The Journal of Finance, 1952, 7(1):77-91.
    [60] H.M.Markowitz. Mean-variance Analysis in Portfolio Choice and Capital Markets. New York, Basil Black-well, 1987.
    [61] H.M.Markowitz. Portfolio Selection: Efficient Diversification of Investment. New York, Basil Black-well,2thed 1991.
    [62] H.M.Soner.Portfolio selection with transaction costs. Proceeding of the 30th Conference on Decision and Control, 1991, 1317-1320.
    [63] 侯为波,徐成贤.证券组合M-V有效边缘动态.系统工程学报,2000,15(1):26-31.
    [64] I.Bajeux-Besnainou and R.Portait. Dynamic asset allocation in a mean variance framework. Management Science, 1998, 44(11):79-95.
    [65] I.Bardhan. Consumption and investment under constraints. J.Econ.Dyn. and Control,1994,18:909-929.
    [66] I.Bardhan and X.L.Chao. Martingale analysis for assets with discontinuous returns.Mathematics of Operations Research, 1995,20:243-256.
    [67] I.Karatzas and J.Lehoczky, S.Sethi and S.Shreve. Explicit solution of general consumption/investment problem. Math.Oper. Res., 1986,11:261-294.
    [68] I.Karatzas,J.Lehoczky and S.Shreve. Optimal portfolio and consumption decisions for a "small investor" on a finite horizon. SIAM J. Control and Optimization, 1987,25(6):1557-1586.
    [69] I.Karatzas and S.Shreve. Brown Motion and Stochastic Calculus. Springer-Verlag,1988.
    
    
    [70] I.Karatzas. Optimization problems in the theory of continuous trading. SIAM J.Control and Optimization, 1989,27:1221-1259.
    [71] I.Karatzas,J.Lehoczky and S.Shreve. Existence and uniqueness of multi-agent equilibrium in a stochastic dynamic consumption/investment model. Math.Oper.Res., 1990,15(1):80-128.
    [72] I.Karatzas,J.Lehoczky and S.Shreve.Equilibrium models with singular asset prices. Math.Finance,1991,1:11-29.
    [73] I.Karatzas,J.Lehoczky, S.Shreve and G.I.Xu. Martingale and duality methods for utility maximization in an incomplete market. SIAM J.Control and Optimization, 1991,29(3):702-730.
    [74] I.Karatzas and S.Shreve. Methods of Mathematical Finance. Springer-Verlag, New York,1998.
    [75] I.Karatzas and H.Wang. Utility maximization with discretionary stopping. SIAM J. Control and Optimization, 2000, 39(1):306-329.
    [76] 姜礼尚.期权定价的数学模型和方法.高等教育出版社,北京,2003.
    [77] J.C.Cox,S.A.Ross and M.Rubinstein. Option pricing: a simplified approach. Journal of Financial Economics, 1979,7(3):229-263.
    [78] J.C.Cox and C.Wang. Optimum consumption and portfolio policies when asset prices follow a diffusion process. Journal of Economic Theory, 1989, 49:33-83.
    [79] J.C.T.Mao. Models of capital budgeting, E-V vs E-S. Journal of Financial and Quantitive Analysis, 1970,5,657-675.
    [80] J.F.Eastham and K.J.Hastings. Optimal impulse control for portfolio.Math.OPer.Res.,1988, 13(4):588-605.
    [81] J.Gotoh and H.Konno. Third degree stochastic dominance and mean-risk analysis. Management Science, 2000,46(2):289-301.
    [82] J.Hull,张陶伟译.期权、期货与衍生证券.华夏出版社,北京,1997.
    [83] J.J.Miao. Ambiguity, risk and portfolio choice under incomplete information, working paper.
    
    
    [84] J.K.Duckworth. An investment model with entry and exit decisions. J.Appl.Prob.,2000, 37:547-559.
    [85] J.Lehoczky, S.P.Sethi and S.Shreve. Optimal consumption and investment policies allowing consumption constraints and bankruptcy. Math.Oper.Res., 1983,8:613-636.
    [86] J.Lehoczky, S.P.Sethi and S.Shreve.A martingale formulation for optimal consumption investment decision making. Optimal Control Theory and Economic Analysis, 1985,2:135-153.
    [87] J.Lintner. The valuation of risk assets and the selection of risky investments in stock portfolio and capital budgets. Review of Economics and Statistics, 1965,47:13-37.
    [88] J.L.Ringuest, S.B.Graves and R.H.Case. Conditional stochastic dominance in R & D Portfolio. IEEE Transaction on Engineering Management, 2000,47(4):478-484.
    [89] J.Mossin. Equilibrium in a capital asset market. Econometrica, 1966, 34:768-783.
    [90] J.Mossion. Optimal multi-period portfolio polices. J.Business, 1968,41:215-229.
    [91] J.Tobin. Liquidity preference as behavior towards risk. Review of Economic Statistics,1958, 25(2): 65-86.
    [92] J.Yong and X.Y.Zhou. Stochastic Controls:Hamiltonian Systems and HJB Equations. Springer-Verlag, New York,1999.
    [93] K.V.Smith. A transition model for portfolio revision. J.Finance, 1967, 22:425-439.
    [94] L.Backelier. Theorie de la speculation. Ann. Sci.Ecole Norm, 1900, 17:21-89.
    [95] Li Duan, T.F.Chan and W.L.Ng. Safety-first dynamics portfolio selection. Dynamics of Continuous,Discrete and Impulsive System, 1998, 4:585-600.
    [96] Li Duan and W.L.Ng. Optimal dynamic portfolio selection: multi-period mean-variance formulation. Math. Fiance, 2000,10(3):387-406.
    [97] Li X.,X.Y.Zhou and E.B.Lim. Dynamics mean-variance portfolio selection with no shorting constraints. SIAM J. Control and Optimization, 2002,40(5):1540-1555.
    [98] 李仲飞.投资组合优化与无套利分析.中国科学院博士论文,2000.
    
    
    [99] 林建中,叶中行.一类跳跃扩散型股价过程组欧式未定权益定价.应用概率统计,2002,5:167-173.
    [100] 刘海龙,樊治平,潘德惠.一类证券收益与风险的动态模型的辨识方法.管理科学学报,1999,2(1):37-41.
    [101] 刘海龙,郑立辉.证券投资决策的微分对策方法研究.系统工程学报,1999,14(1):69-90.
    [102] 刘海龙,郑立辉,吴冲锋.现代金融理论的进展综述.系统工程理论与实践,2001,1:14-20.
    [103] 刘海龙,吴冲锋.考虑随机方差的最优消费和投资决策问题.管理工程学报,2002,16(1):47-50.
    [104] 刘善存,汪寿阳,邱菀华.一个证券组合投资分析的对策论方法.系统工程理论与实践,2001,5:88-92.
    [105] 刘新华.股价有跳跃时在均值-方差目标下的证券组合选择.复旦学报(自然科学版),2000,39(1):55-60.
    [106] 刘志新,牟旭涛.投资组合最大损失最小化模型研究.系统工程理论与实践,2000,12:22-25.
    [107] L.L.Frank. Optimal Estimation with an Introduction to Stochastic Control Theory. John Wiley & Sons, Inc.,1986.
    [108] L.M.Viceira. Optimal portfolio choice for long-horizon investors with nontradable labor income. Journal of Finance, 2001, LⅥ(2):433-470.
    [109] L.Peter. Utility maximization with partial information. Stochastic Process and Their Application, 1995, 56:247-273.
    [110] L.Peter. Optimal trading strategy for an investor: the case of partial information. Stochastic Process and their Application, 1998, 76:77-97.
    [111] 吕锋,倪志红.组合证券在E-sh风险下的有效边界.系统工程理论方法应用,1995,4(2):35-39.
    [112] 马永开,唐小我.限制性卖空条件下β值证券组合投资决策模型.系统工程学报,2001,16(2):81-87.
    
    
    [113] 马永开,唐小我.不允许卖空的多因素证券组合投资决策模型,系统工程理论与实践,2000,2:37-51.
    [114] M.Akian, P.Sequier and A.Sulem. A finite horizon multi-dimensional portfolio selection problem with singular transactions.Proceeding of the 34th Conference on Decision and Control, 1995, 2193-2198.
    [115] M.Akian,J.L.Menaldi and A.Sulem. On an investment-consumption model with transaction costs. SIAM J.Control and Optimization, 1996, 34:329-364.
    [116] M.Akian,A.Sulem.Dynamic optimization of long-term growth rate for a portfolio with transaction costs and logarithmic utility. Mathematical Finance, 2001,11(2):153-188.
    [117] M.Britten-Jones and S.M.Schaefer. Non-linear value-at-risk. European Finance Review,1999, 2:161-187.
    [118] M.G.Crandall and P.L.Lions. Viscosity solutions of Hamilton Jacobi Equations. Trans. Amer.Math.Soc., 1983,277: 1-47.
    [119] M.Jeanblance-Picque and M.Pontier. Optimal portfolio for a small investor in a market model with discontinuous prices. Appl.Math.Optim., 1990, 22:287-310.
    [120] M.Kohlmann and X.Y.Zhou. Relationship between backward stochastic differential equations and stochastic controls: a linear-quadratic approach. SIAM J. Control and Optimization, 2000, 38(5):1392-1407.
    [121] M.Mnif and H.Pham. Stochastic optimization under constraints. Stochastic Processes and Their Applications, 2001, 93:149-180.
    [122] N.C.Framstad, B.ksendal and A.Sulem. Optimal consumption and portfolio in a jump diffusion market with proportional transaction costs. J.Math.Econom., 2001, 35,233-257.
    [123] N.H.Hakansson. Optimal investment and consumption strategies under risk, an uncertain lifetime,and insurance. International Econ. Review, 1969,10:443-466.
    [124] N.H.Hakansson. Multi-period mean-variance analysis: toward a general theory of portfolio choice. Journal of Finance, 1971, 26:857-884.
    
    
    [125] N.Ikeda and Watanabe. Stochastic Differential Equations and Diffusion Process. North-Holland, Amsterdam, 1981.
    [126] P.A.Samuelson. Rational proof that properly anticipated prices fluctuate randomly. Industrial Management Review, 1965, 6(2):41-49.
    [127] P.A.Samuelson. Lifetime portfolio selection by dynamic stochastic programming. Review of Economics and statistics, 1969, 51:239-246.
    [128] P.L.Yu. Cone convexity, cone extreme points and non-dominated solution in decision problems with multi-objectives. J.Optim.Theory and Appl.,1971,17:319-376.
    [129] R.A.Jarrow and A.Rudd. Option Pricing. Irwin, 1983.
    [130] R.C.Merton. Lifetime portfolio selection under uncertainty: the continuous-time case. Review of Economics and Statistics, 1969, 51:247-257.
    [131] R.C.Merton. Optimum consumption and portfolio rules in a continuous time model. Journal of Economic Theory,1971, 3:373-413.
    [132] R.C.Merton. An analytical derivation of the efficient portfolio frontier. J.Finance and Economics Anal.,1972, 7:1851-1872.
    [133] R.C.Merton.Option pricing when underlying stock returns are discontinuous. J.Financial Economics, 1976, 3:125-144.
    [134] R.C.Merton. Continuous-Time Finance. Cambridge, MA:Basil Blackwell, 1990.
    [135] R.Elliott. The existence of value in stochastic differential games. SIAM J. Control Optim.,1976, 14: 85-94.
    [136] R.S.Liptser and A.N.Shiryayev. Statistics of Random Processes(Ⅰ). Springer, Berlin,1977.
    [137] R.S.Liptser and A.N.Shiryayev. Statistics of Random Processes(Ⅱ). Springer, Berlin,1978.
    [138] R.R.Grauer and N.H.Hakansson. On the use of mean-variance and quadratic approxi-mations in implementing dynamic investment strategies: a comparison of returns and investment policies. Management Science, 1993, 39:856-871.
    
    
    [139] R.R.Lumley and M.Zervos. A model for investments in the natural resource industry with switching costs. Math.Oper.Res., 2001, 26(4):637-653.
    [140] S.A.Ross.The capital asset pricing model (CAPM),short-sale restriction and related issues. Journal of Business, 1977, 32(1):177-183.
    [141] S.Browne. Optimal investment policies for a firm with a random risk process: exponential utility and minimizing the probability for ruin. Math.Oper.Res., 1995, 20(4):937-958.
    [142] S.Browne. Survival and growth with a liability: optimal portfolio strategies in continuous time. Math.Oper.Res..1997, 22(2): 468-493.
    [143] S.Browne. Stochastic differential portfolio games. J.Appl.Prob.,2000,37:126-147.
    [144] S.Emmer and C.keuppelbeyg. Optimal portfolio with bounded capital at risk. Math.Finance.2001, 11(4):365-384.
    [145] S.Chen and X.Y.Zhou. Stochastic linear quadratic regulators with indefinite control weight costs. SIAM J.Control and Optimization, 1998, 36:1685-1702.
    [146] S.J.Crossman and G.Loroque. Asset pricing and optimal portfolio choice in the presence of illiquid durable consumption goods. Economtrica, 1990. 58(1):25-51.
    [147] S.J.Tang and X.J.Li. Necessary conditions for optimal control of stochastic systems with random jumps. SIAM J. Control Optim.,1994, 32(5):1447-1475.
    [148] 宋逢明.金融工程原理.清华大学出版社,北京,1999.
    [149] 宋威.金融数学模型.华南理工大学出版社,广州,1999.
    [150] S.P.Sethi and M.Taksar. A note on Merton's "optimal consumption and portfolio rules in a continuous time model". J.Econ. Theory, 1988, 46:395-401.
    [151] S.P.Sethi and M.Taksar.Infinite-horizon investment consumption model with a nonterminal bankruptcy. J.Optim Theory and Appl., 1992, 74:333-346.
    [152] S.P.Sethi and M.Taksar and E.Presman. Explicit solution of a general consumption/portfolio problem with subsistence consumption and bankruptcy. J.Econom. Control, 1992,16:747-768.
    
    
    [153] S.P.Sethi. Optimal Consumption and Investment with Bankruptcy. Kluner Academic Publishers, Boston, 1997.
    [154] S.R.Pliska. A stochastic model of continuous trading: optimal portfolio. Math.Oper. Res., 1986, 11(2):371-382.
    [155] S.R.Pliska.Introduction to Mathematical Finance. Malden, MA:Basil Blackwell, 1997.
    [156] S.Shreve, M.Soner and G.Xu. Optimal investment and consumption with two bonds and transaction costs. Math.Finance. 1991,1: 53-84.
    [157] S.Shreve and M.Soner. Optimal investment and consumption with transaction costs. Annals of Appl.Prob.. 1994, 4:609-692.
    [158] 宿洁,刘家壮.多阶段资产投资的动态规划决策模型.中国管理科学,2001,9(3):55-61.
    [159] 唐小我.组合证券投资决策的计算方法.管理工程学报,1990,4(3):45-48.
    [160] 唐小我,曹长修.组合证券投资有效边界的研究.预测,1993,4:35-38.
    [161] 唐小我,傅庚,曹长修.非负约束条件下组合证券投资决策方法研究.系统工程,1994,12(6):23-29.
    [162] T.Bielecki,D.Hernandez and S.R.Pliska. Risk sensitive control of finite markov chains in discrete time,with applications to portfolio management. Math.Meth.Oper.Res., 1999,50:167-188.
    [163] T.Goll and J.Kallsen. Optimal portfolio for logarithmic utility. Stochastic Processes and Their Applications, 2000, 89:31-48.
    [164] T.V.Le. Fuzzy evolutionary programming for portfolio selection in investment.IEEE International Fuzzy Systems Conference, 1999, 675-679.
    [165] T.Zariphopoulou. Investment-Consumption models with transaction fees and markovchain parameters. SIAM J. Control and Optimization, 1992,20(3):613-636.
    [166] T.Zariphopoulou. Consumption-Investment models with constraints. SIAM J. Control and Optimization, 1994, 32(1):59-85.
    [167] 王康宁.最优控制的数学理论.国防工业出版社,北京,1995.
    
    
    [168] 王一鸣.数理金融经济学.北京大学出版社,北京,2000.
    [169] W.F.Sharpe. A simplified model for portfolio analysis. Management Science, 1963,9(3):277-293.
    [170] W.F.Sharpe. Capital asset prices: a theory of market equilibrium under condition of risk. The Journal of Finance, 1964, 19:425-442.
    [171] W.F.Sharpe. A linear programming algorithm for mutual fund portfolio selection. Management Science, 1967, 3:499-510.
    [172] W.F.Sharpe. Portfolio analysis. J.Finan.Quant.anal., 1967,6:76-84.
    [173] W.F.Sharpe,胡坚译.投资组合理论与资本市场.机械工业出版社,北京,2001.
    [174] W.H.Fleming and T.Zariphopoulou. An optimal investment/consumption model with borrowing. Math.Oper.Res., 1991,16(4):802-822.
    [175] W.H.Fleming and H.M.Soner. Controlled Markov Processes and Viscosity Solutions. Springer-Verlag, New York, 1993.
    [176] W.H.Fleming and S.J.Sheu. Risk-sensitive control and an optimal investment model. Mathematical Finance, 2000, 10(2):197-213.
    [177] W.Ogryczak and A.Ruszczynsk. From stochastic dominance to mean risk models:semideviations as risk measures. European Journal of Operational Research, 1999, 116:33-50.
    [178] W.S.Xu and S.P.Chen. Optimal consumption/portfolio choice with borrowing rate higher than deposit rate. J.Austral Math.Soc. Seri.B, 1998, 39:449-462.
    [179] W.Y.Fei and R.Q.Wu. Anticipative portfolio optimization under constraints and a higher interest rate for borrowing. Stoch.Anal.&Appl., 2002, 20(2):311-345.
    [180] X.Cai,K.Teo,X.Yang and X.Y.Zhou. Portfolio optimization under a minmax rule, Management Science, 2000, 46(7):957-972.
    [181] X.Jin. Consumption and portfolio turnpike theorems in a continuous time finance model. Journal of Economics and Control, 1998, 22:1001-1026.
    
    
    [182] 徐大江.证券投资决策的多目标线性规划法.系统工程理论与实践,1995,12:46-52.
    [183] 许世蒙,张玉忠.常系数投资消费模型的一些优化性质.运筹学报,2002,6(1):79-84.
    [184] 许世蒙,张玉忠.有交易费的折算资产优化性质和可达性.控制理论与应用,2002,19(1):44-46.
    [185] 许世蒙,张玉忠.有交易费的折算资产优化和可达性.高校应用数学学报(A辑).2002,17(2):195-199.
    [186] Xue Hong and Nie Zankan. Multi-dimensional Black-Scholes model with non-constant coefficients and dividends. 应用数学,2000, 3:133-138.
    [187] 薛红.外汇期权的多维Black-Scholes模型.工程数学学报,2002,19(2):93-97.
    [188] 严士健,王骧,刘秀芳.概率论基础.科学出版社,北京,1982.
    [189] 杨德权,胡运权,刘鹏伟.不允许卖空时证券组合前沿的性质研究.预测,1997,6
    [190] 杨德权,杨德礼,史克禄,胡运权.求解不允许卖空证券组合前沿的区间搜索方法.管理科学学报,2001,4(1):33-37.
    [191] 杨昭军,师义民.最优投资及最优消费策略.高校应用数学学报(A辑),1994,9:90-95.
    [192] 杨昭军,李致中,邹捷中.部分信息下的最优投资消费策略显式解.应用概率统计,2001,17(4):390-398.
    [193] 叶中行,林建中.数理金融-资产定价与金融决策理论.上海科学出版社,上海,1992.
    [194] 雍炯敏.动态规划方法HAMILTON-JACOBI-BELLMAN方程.上海科技出版社,上海,1992:91-108.
    [195] 雍炯敏,R.Cont.数理金融学-理论与实践.高等教育出版社,北京,2000.
    [196] Y.Simaan. Estimation risk in portfolio selection: the mean variance model versus the mean-absolute deviation model. Management Science, 1997, 43(10):1437-1446.
    
    
    [197] 于维生.组合证券投资的有效边界.数理统计与管理,1996,15(3):27-31.
    [198] 袁震东.近代概率引论-测度、鞅和随机微分方程.
    [199] 曾勇,唐小我.非负投资比例约束下的证券组合风险最小化方法.技术经济,1994,2:110-114.
    [200] 曾勇,唐小我.最优证券组合的结构特征研究.控制与决策,1995,10(6):486-491.
    [201] 曾勇,唐小我.限制性卖空情况下组合证券有效边界的特征和确定方法,管理工程学报,1997,11(3):147-154.
    [202] 曾勇,唐小我,郑维敏.引入指数期货的组合证券选择与基金分离定理.系统工程学报,1999,14(3):265-271.
    [203] 曾勇,唐小我,郑维敏.基金分离定理的进一步研究.系统工程学报,2001,16(3):187-191.
    [204] 张喜彬,荣喜民,张世英.有关风险测度及组合证券投资模型研究.系统工程理论与实践,2000,9:19-22.
    [205] Zhao Y. and W.T.Ziemba. Mean-variance versus expected utility in dynamic investment analysis. Faculty of Commerce and Business Administration, University of British Columbia, Vancouver, BC, Canada,2002.
    [206] 郑立辉.张兢田,鲍新中.证券选择的极大极小设计方法.系统工程理论与实践,2000,2:48-51.
    [207] Zhou Xunyu, Yong J. and Li X. Stochastic verification theorems within the frame-work of viscosity solutions. SIAM J. Control and Optimization, 1997, 35: 243-253.
    [208] Zhou Xunyu and Li Duan. Continuous time mean-variance portfolio selection: a stochastic LQ framework. Applied Mathematics and Optimization, 2000, 42:19-33.
    [209] J.C.Cox and S.A.Ross. The valuation of options for alternation stochastic process. J.Financial Econom. 1985, 3:145-166.

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