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不完备市场中的几类期权定价研究
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摘要
近年来,随着金融衍生产品市场的发展,衍生产品的定价,风险管理等问题变得越来越重要.为了描述不断变化的经济环境,更多复杂的模型被提出.我们根据风险中性定价理论研究在市场不完备的情况下几类期权的定价问题.具体内容如下:
     1.第一章首先介绍了期权的概念及资产定价的发展,接着,介绍了不完备市场中的期权定价,然后简要说明了信用风险模型的分类和研究状况,最后,给出了一些基本定义和定理及本论文的主要工作.
     2.第二章考虑了幂函数型期权的定价问题.为了反映市场中风险资产的价格变化过程,我们首先假设风险资产的价格过程服从跳扩散模型,其次假定市场中参数随连续时间的马尔科夫链状态的转移而变化.在第一种情况下,我们假定市场利率服从Vasicek模型并且假定风险资产与市场利率是相关的,通过给定一个等价鞅测度我们得到了幂函数型期权的价格公式.在第二种情况下,我们假定市场利率,风险资产的期望收益率和波动率都与市场经济状态有关,市场经济状态由一连续时间马尔科夫链来描述.由于市场是不完备的,利用regime switching Esscher变换得到了一个等价鞅测度,给出了当标的资产价格服从马尔科夫调制的几何布朗运动时的幂函数型期权价格公式.
     3.第三章讨论了约化模型下具有信用风险的几类期权的定价问题.由于不可预见的事件的发生可能会导致违约强度发生剧烈的变化,我们假设违约强度服从一个跳扩散模型.此外,我们假定期权卖方可能发生违约并且回收率是一个常数.在约化模型下,分别给出了具有信用风险的欧式期权,幂函数型期权以及交换期权的价格公式.
     4.第四章研究了具有随机死亡强度的担保年金期权(Guaranteed Annuity Options)的定价问题.为了符合实际情况,我们在死亡强度中增加了“跳”的因素.我们假设死亡强度服从跳扩散模型,标的资产价格过程服从随机波动率模型,利率满足Vasicek模型,并且假设这些过程都是相关的,给出了担保年金期权的价格公式.
     5.第五章在局部风险最小的标准下考虑套期保值策略以及最小鞅测度.当标的资产价格服从跳扩散模型或者马尔科夫调制的体制转换模型时,市场是不完备的,这也意味着市场中的未定权益不能通过自融资策略来套期保值.我们分别给出了跳扩散模型下内幕交易者的局部风险最小套期保值策略以及具有随机波动率的马尔科夫调制跳扩散过程下的相应策略.
     综上所述,本文研究了标的资产服从不同模型时的几类期权的定价问题.获得了跳扩散模型和regime switching模型下的幂函数型期权以及随机死亡强度下的担保年金期权的价格公式.在约化模型下考虑了具有信用风险的几类期权的定价.此外,在市场不完备的情况下,考虑套期保值问题,给出了局部风险最小套期保值策略和最小鞅测度。
Recently, with the development of financial derivatives market, the pricing of deriva-tives, risk management and others have become more and more important. In order to describe the changing economic environment, more complex models are proposed. By the risk neutral pricing theorem, we investigate the pricing of several options in the incomplete market. The main contents of this thesis are listed in the following:
     1. In the first chapter, the concept of options and the assets pricing are at first in-troduced. Then, we introduce the pricing of options in the incomplete market. In addition, we give a brief description of the classification and the research of the credit risk model. Finally, some basic definitions, theorems and the main results of this thesis are provided.
     2. In the second chapter, we consider the pricing of the power options. In order to reflect the price process of the risky assets in the market, we first assume that the price process of the risky assets follow the jump diffusion model and then assume that the parameters in the market vary as the transition of the state of a continuous time Makov chain. In the first case, we suppose that the interest rate follow the Vasicek model, and the risky assets are correlated with the interest rate. By introducing the risk neutral measure, we obtain the pricing formula of the power options. In the second case, we assume that the interest rate, the expected return rate and the volatility are related to the state of the economy which is described by the continuous time Markov chain. Since the market under consideration is incomplete, we give an equivalent martingale measure by the regime switching Esscher transform. We get the price of the power options under the Markov-modulated geometric Brownian motion.
     3. In the third chapter, we discuss the pricing of several options in a reduced form model. Since the intensity of default may fluctuate severely as unanticipated events happen, we assume that the default intensity is governed by a jump-diffusion process. In addition, we assume that the writer of the option may default and the recovery rate is a constant. In the reduced form model, we give the price of the European option, the power option and the exchange option with credit risk.
     4. In the fourth chapter, the value of the guaranteed annuity options is studied with the stochastic mortality intensity. In order to conform to the actual situation, we add the "jump" to the mortality intensity. We assume that the mortality intensity follow the jump diffusion model, underlying assets follow the stochastic volatility model, interest rate is the Vasicek model which is correlated with each other. We obtain the price of the guaranteed annuity options.
     5. In the fifth chapter, we investigate the hedging strategies and the minimal mar-tingale measure. When the price process of the underlying assets follow the jump diffusion model or the Markov-modulates models, the market is incomplete and the contingent claims can't be hedged by self-financing strategies. We give the lo-cally risk minimizing strategies under the jump diffusion models and the Markov modulated jump diffusion models with stochastic volatility.
     In brief, this thesis discuss the pricing of several options when the underlying assets follow different models. We get the pricing of the power options under the jump diffusion process and the regime switching model, and the valuation of the guaranteed annuity options with stochastic mortality. The pricing of the options with credit risk in a reduced form model is considered. Moreover, when the market is incomplete, we consider the risk minimizing strategies and the minimal martingale measure.
引文
[1]Albrecher,H.,Predota,M.2004. On Asian option pricing for NIG Levy processes. Journal of Computational and Applied Mathematics.172,153-168.
    [2]Ammann, M.2001. Credit Risk Valuation:Methods, Models, and Applications,2nd ed. Springer-Verlag, New York.
    [3]Andersen,L.,Andreasen,J.2000. Jump-diffusion process:volatility smile fitting and numer-ical for option pricing. Review of Derivatives Research.4(3),231-262.
    [4]Arai,T.2001. The p-Optimal martingale measure in continuous trading models. Statistics and Probability Letters.54,93-99.
    [5]Arai,T.2004. Minimal martingale measures for jump diffusion processes. Journal of Applied Probability.41,263-270.
    [6]Bai, Y., Hu, X., Ye, Z.,2007. A model for dependent default with hypberbolic attenuation effect and valuation of credit default swap. Applied Mathematics and Mechanics. English Edition.28(12),1643-1649.
    [7]Barnderff Nielsen,O,E.1998. Processes if Normal Inverse Gaussian Type. Finance and Stochastics.2(1),41-68.
    [8]Basak,G.K., Ghosh, M.K., Goswami, A.2011. Risk minimizing option for a class of exotic options in a Markov-modulated market. Stochastic Analysis and Applications.29,259-281.
    [9]Ballotta, L., Haberman,S.2003. Valuation of guaranteed annuity conversion options. In-surance: Mathematics and Economics.33,87-108.
    [10]Benth,F.E.,Brandis,T.M.2005. The density process of the minimal entropy martingale mea-sure in a stochastic volatility model with jumps. Finance and Stochastics.9(4),563-575.
    [11]Bender,C.,Niethammer,C.R.2008. On q-optimal martingale measures in exponential Levy models. Finance and Stochastics.12(3),381-410.
    [12]Bielecki, T., Rutkowsik, M.2002 Credit Risk:Modelling, Valuation and Hedging. Springer-verlag, Berlin.
    [13]Bjork,T.,Kabanov,Y.,Runggaldier,W.1997. Bond market structure in the presence of marked point processes. Mathematical Finance.2,221-239.
    [14]Black,F.,Scholes,M.1973. The pricing of options and corporate liability. Journal of Polital Economy.81,637-659.
    [15]Blenman, L.P.,Clark, S.P.2005. Power exchange options. Finance Research Letters. (2), 97-106.
    [16]Bo,L. J.,Wang,Y.J.,Yang,X.W.2010. Markov-modulated jump diffusions for currency option pricing. Insurance:Mathematics and Economics. In press.
    [17]Bollerslev,T.1986. Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics.31,307-327.
    [18]Boyle,P.,Draviam,T.2007. Pricing exotic options under regime switching. Insurance:Mathematics and Economics.40,267-282.
    [19]Briffs,E.2005. Affine processes for dynamics mortality and actuarial valuations. Iusurance:Mathematics and Economics.37,443-468.
    [20]Buffington,J.,Elliott,R.J.2002a. Regime switching and European options. In:Stochastic Theory and Control. Proceedings of a Workshop. Springer Verlag,73-81.
    [21]Buffington,J.,Elliott,R.J.2002b. American options with regime switching. International Journal of Theoretical and Applied Finance.5,497-514.
    [22]Buhlmann,H.,Delbaen,F.,Embrechts,P.,Shiryaev,A.N.1998. On Esscher transforms in dis-crete finance models. Astin Bulletin.28(2),171-186.
    [23]Carr,P.,Geman,H.,Madan,D.B.,Yor,M.2003. Stochastic volatility for Levy processes. Math-ematical Finance.13(3),345-382.
    [24]Chan,T.1999. Pricing catingent claims on stocks driven by Levy processes. The Annals of Applied Probability.9(2),504-528.
    [25]Chang,L.F.,Huang,M.W.2006. Valuation of vulnerable American options with correlated credit risk. Review of Derivative Research.9,137-165.
    [26]Choulli,T.,Strieker,C.2005. Minimal entropy Hellinger martingale measure in incomplete markets. Mathematical Finance.15(3),465-490.
    [27]Choulli,T.,Stricker,C.2006. More on minimal entropy Hellinger martingale measure. Math-ematical Finance.16(1),1-19.
    [28]Chu,C.C.,Kwok, Y.K.2007. Valuation of guaranteed annuity options in affine term structure models.International Journal of Theoretical and Applied Finance.102,363-387.
    [29]Clark,P.K.1973. A subordinated stochastic process model with finite variance for specula-tive prices. Econometrica.41(1),135-155.
    [30]Cox,J.,Ross,S.,Rubinstein,M.1979. Option pricing:a simplified approach. Journal of Fi-nanical Economics.7,229-263.
    [31]David,C.,Nadima,E.,Oh,Kang kwon.2007. Heding diffusion processes by local risk mini-mization with applications to index tracking. Journal of Economic Dynamics and Control. 31,2135-2151.
    [32]Delbaen,F.,Schachermayer,W.1994. A general version of fundamental theorem of asset pricing. Mathematische Annalen.300,463-520.
    [33]Delbaen,F.,Schachermayer,W.1996. The variance optimal martingale measure for continu-ous processes. Bernoulli.2,81-106.
    [34]Deshpande,A.,Ghosh,M.K.2008. Risk minimizing option pricing in a regime switching mar-ket. Stochastic Analysis and Applications.26,313-324.
    [35]Duan,J.C.,Popova,I.,Ritchken,P.2002. Option pricing under regime switching. Quantitative Finance.2,116-132.
    [36]Duffie, D., Garleanu N.,2001. Risk and valuation of collateralized debt obligations. Finan-cial Analysis Journal.57(1),41-59.
    [37]Duffie,D.,Pan,J.,Singleton,K.2000. Transform analysis and asset pricing for affine jump-diffusions. Econometrica.6,1343-1376.
    [38]Duffie, D., Singleton, K.,1999. Modeling Term Structures of Defaultable Bonds. Review of Financial Studies.12(4),197-226.
    [39]Elliott,R.J.,Chan,L.L.,Siu,T.K.2005. Option pricing and Esscher transform under regime switching. Annals of Finance.1(4),423-432.
    [40]Elliott,R.J.,Osakwe,C.J.U.2006. Option pricing for pure jump processes with Markov switching compensators. Finance and Stochastics.10,250-275.
    [41]Elliott,R.J.,Siu,T.K.,Chan,L.G.,Lau,J.W.2007. Pricing options under a generalized markov-modulated jump-diffusion model. Stochastic Analysis and Application.25,821-843.
    [42]Engle,R.E.1982. Autoregressive conditional heteroscedasticity with estimates of the vari-ance of United Kindom inflation. Econometrica.50(4),987-1008.
    [43]Esche,F.,Schweizer,M.2005. Minimal entropy preserves the Levy property:how and why. Stochastic Processes and their Applications.115,299-327.
    [44]Esser, A.2003. General valuation principles for arbitrary payoffs and application to power options under stochastic volatility models. Financial Markets and Portfolio Man-agement.17,351-372.
    [45]Fouque,J.P.,Papanicolaou,G.P.,Sircar,R.K.1999. Financial modeling in a fast mean revert-ing stochastic volatility environment. Asia-Pacific Financial Markets.1,37-48.
    [46]Fouque,J.P.,Chuan,H.H.2003. Pricing asian options with stochastic volatility. Quantitative Finance.3,353-362.
    [47]Prey, R.,2000. Risk-minimization with incomplete information in a model for high-frequency data. Mathematical Finance.10,215-225.
    [48]Prittelli,M.2000. The minimal entropy martingale measures and the valuation problem in incomplete markets. Mathematical Finance.10,39-52.
    [49]Fujiwara,T.,2006. From the minimal entropy martingale measures to the optimal strategies for the exponential utility maximization:the case of geometric Levy processes. Asia-Pacific Financial Markets.11,367-391.
    [50]Fujiwara,T.,2009. The minimal entropy martingale measures for exponential additive pro-cesses. Asia-Pacific Financial Markets.16,65-95.
    [51]Follmer,H.,Sondermann,D.1986. Hedging of non-redundant contingent claims. In:W. Hildenbrand and A. Mas-Colell (eds), " Contributions to Mathematical Economics", North-Holland.205-223.
    [52]Follmer,H.,Schweizer,M.1991. Hedging of contingent claims under incomplete information. In:Davis,M.H.A and Elliott,R,J.(eds), "Applied Stochastic Analysis", Stochastics Mono-graphs, Vol.5, Gordon and Breach, London/New York.389-414.
    [53]Gerber,H.U.,Shiu,E.S.W.1994. Option pricing by Esscher transforms (with disscusion). Transactions of the Society of Actuaries.46,99-191.
    [54]Ghosh,M.K.,Arapostathis,A.,Marcus,S.I.1997. Ergodic control of switching diffusions. SIAM Journal on Control and Optimization.35,1952-1988
    [55]Grandits,P.1999. The p-optimal martingale measure and its asymptotic relation with the minimal entropy martingale measure. Bernoulli.5(2),225-247.
    [56]Grandits,P.,Rheinlander,T.2002. On the minimal entropy martingale measure. Annals of Probability.30(3),1003-1038.
    [57]Gray,F.S.1986. Modeling the conditional distribution of interest rates as a regime switching process. Journal of Financial Economics.42,27-62.
    [58]Grundl,H.,Schmeiser,H.2002. Pricing double trigger reinsurance contracts:financial versus actuarial approach. Journal of Risk and Insurance.69,449-468.
    [59]Guo,X.2001. Information and option pricings. Quantitative Finance.1,28-44.
    [60]Guo, X., Jarrow R., Zeng Y.,2009. Modeling the recovery rate in a reduced from medel. Mathematical Finance.19(1),73-97.
    [61]Guo,X.,Zhang,Q.Z.2004. Closed-form solutions for perpetual American put options with regime switching. SIAM Journal on Applied Mathematics.64,2034-2049.
    [62]Hamilton,J.D.1989. A new approach to the economic analysis of non-stationary time series. Econometrica.57,357-384.
    [63]Harrison,J.M.,Kreps,D.M.1979. Martingales and arbitrage in multiperiod security markets. Journal of Economic Theory.20,381-408.
    [64]Harrison,J.M.,Pliska,S.R.1981. Martingales and stochastic integrals in the theory of con-tinuous trading. Stochastic Processes and their Applications.11,215-260.
    [65]Heston,S.L.1993. A closed form solution for options with stochastic volatility with appli-cations to bond and currency options. The Review of Financial Studies.6(2),327-343.
    [66]Hubalek,F.,Sgarra,C.2006. Esscher transforms and the minimal entropy martingales for exponential Levy models. Quantitative Finance.6,125-145.
    [67]Hull,J.C.,White,A.D.1987. The pricing of options on assets with stochastic volatilities. Journal of Finance.42(2),281-300.
    [68]Hull,J.C.,White,A.D.1993. One factor interest rate models and the valuation of interest rate derivative securities. Journal of Financial and Quantitative Analysis.28(2),235-254.
    [69]Park H.S.2008. The survival probability of mortality intensity with jump-diffusion Journal of the Korean Statistical Society.37,355-363.
    [70]Jaimungal,S.,Wang,T.2006. Catastrophe options with stochastic interest rates and com-pound poisson losses. Insurance:Mathematics and Economics.38,469-483.
    [71]Jalen, L., Mamon,R.2009. Valuation of contingent claims with mortality and interest rate risks. Mathematical and Computer Modelling.49,1893-1904.
    [72]Jamshidian, F.1989. An exact bond option pricing formula. Journal of Finance.44,205-209.
    [73]Jarrow, R., Turnbull, S.,1992. Credit Risk:Drawing the Analogy. Risk Magazine.5(9).
    [74]Jarrow, R., Turnbull, S.,1995. Pricing Derivatives on Financial Securities Subject to Credit Risk. Journal of Finance.50(1),53-85.
    [75]Jarrow, R., Yu, F.,2001. Counterparty Risk and the Pricing of Defaultable Securities. Journal of Finance.56(5),1765-1799.
    [76]Jing,Z.H.,Liuren,W.2004. Specification analysis of option pricing models based on time changed Levy processes. Journal of Finance.3,1405-1439.
    [77]Jobert,A.,Rogers,L.C.G.2006. Option pricing with Markov-Modulated dynamics. SIAM Journal on Control and Optimization.44(6),2063-2078.
    [78]Johnson,H.,Stulz,R.1987. The pricing of options with default risk. Journal of Finance.42, 267-280.
    [79]Kim,M.A.,Jang,B.G.2008. A first passage time under regime switching market environ-ment. Journal of Banking and Finance.32,2617-2627.
    [80]Klein,P.1996. Pricing Black-Scholes options with correlated credit risk. Journal of Banking and Finance.20,1211-1129.
    [81]Klein,P.,Inglis,M.2001. Pricing vulnerable European options when the option's payoff can increase the risk of financial distress. Journal of Banking and Finance.25,993-1012.
    [82]Kou,G.S.2002. A jump diffusion model for option pricing. Management Science.48(8), 1086-1101.
    [83]Kou,G.S.,Wang,H.2004. Option pricing under a double exponential jump diffusion model. Management Science.50(9),1178-1192.
    [84]Lee, K., Song, S.2007. Insiders'hedging in a jump diffusion model. Quantitative Fiance. 7(5),537-545
    [85]Leung, K., Kwok, Y.,2009. Counterparty risk for credit default swaps:Markov chain inter-acting intensities model with stochastic intensity. Asia-Pacific Financial Markets.16(3), 169-181.
    [86]Liang,G.C.,Ren,X.M.2007. The credit risk and pricing OTC options. Asia-pacific Financial markets.14,45-68.
    [87]Lindbergson,M.2001. Mortality among the elderly in Sweden 1988-1997. Scandinavian Ac-tuarial Journal.1,79-94.
    [88]Madan,D.,Milne,F.1991. Option pricing with variance gamma martingale components. Mathematical Finance.1,39-55.
    [89]Madan,D.,Carr,P.,Chang,E.1998. The variance gamma process and option pricing. Euro-pean Finance Review.2,79-105.
    [90]Markowitz,H.1952. Portfolio Selection. Journal of Finance.7,77-91.
    [91]Merton, R. C.1973. The theory of rational option pricing. Bell Journal of Economics and Management Science.4(1),141-183.
    [92]Merton,R.C.1974. On the pricing of corporate debt:The risk structure of interest rates. Journal of Finance 29,449-470.
    [93]Merton,R.C.1976. Option pricing when underlying stock returns are discontinuous. Journal of Financial Economics 3,125-144.
    [94]Milevsky,M.A.,Promislow, S.D.2001. Mortality derivatives and the option to annuitise. Insurance:Mathematics and Economics.29,299-318.
    [95]Miyahara,Y.1999. Minimal entropy martingale of jump type price processes in incomplete assets markets. Asia-Pacific Financial Markets.6(2),97-113.
    [96]Mordecki,E.2002.Optimal stopping and perpetual options for Levy processes.Finance and Stochstics.6,473-493.
    [97]Nelson,D.B.1991.Conditional heteroskedasticity in asset returns:A new approach.Econo-metruca.59.347.370.
    [98]Pelsser,A.A.J.2003.Pricing and hedging guaranteed annuity options via static option repli-cation.Insurance:Mathematics and Economics.332.283-296
    [99]Prigent,J.L.2001.Option pricing with a general marked point process.Mathematics of Operatuons Research.26(1),50-66.
    [100]Protter,P.2003. Stochastic integration and diffrential equation-A new approach. Springer-Verlag.
    [101]Qian,L.Y.,Wang,W.,Wang,R.M.,Tang,Y.C.2010.Valuation of equity-indexed annuity under stochastic mortality and interest rate.Insurance:Mathematics and Economics.47, 123-129.
    [102]Riesner,M.2006.Hedging life insurance contracts in a Levy process financial market. Insurance:Mathematics and Economics.38.599-608.
    [103]Roll,R.1992.A mean/variance analysis of tracking error.Journal of Portfolio Mana9e-ment.18(4),13-22.
    [104]Ronald C.,H.,Haarry M.,K.1996.Pricing and hedging power options.Asia-Pacific Finan-cial Markets.3,253-261.
    [105]Ross,S.1976.The arbitrage theory of capital asset pricing.Journal of Economic Theory. 13,341-360.
    [106]schobel,R.,zhu,J.1999.Stochastic volatility with an Ornstein-Uhlenbeck process:an ex— tension.European Finance Review.4.23-46.
    [107]Schweizer,M.1991.Option hedging for semimartingales.Stochastics Processes and their Applications.37,339-363.
    [108]Schweizer,M.1996.Approximation pricing and the variance-Optimal martingale measure. Annals of Probability,24,206-236.
    [109]Schweizer,M.2001.A guided tour through quadratic hedging approaches.In:Jouini,E., Cvitanic J,Musiela,M,(eds),Option precing,interest rates and risk managemet.Cam-bridge University press,538-574.
    [110]scott,L.O.1997.Pricing stock options in a jump diffusion model with stochastic volatility and interes rates:applications of fourier inverstion methods.Mathematical Finance.7(4), 413-424.
    [111]Shreve,S.E.2004.Stochastic calculus for finance Ⅱ.Springer-Verlag New York Inc.
    [112]Siu,T.K.,Tong,H.,Yang,H.L.2001. Bayesian risk measures for derivatives via random Es-scher transform. North American Actuarial Journal.5(3),78-91.
    [113]Siu,T.K.2005. Fair valuation of participating polices with surrender options and regime switching. Insurance:Mathematics and Economics.37,537-552.
    [114]Siu,T,K.,Yang,H.L.,Lau,J.W.2008. Pricing currency options under two-factor Markov-modulated stochastic volatility models. Insurance:Mathematics and Economics.43,295-302.
    [115]Stein,E.M.,Stein,J.C.1991. Stock price distributions with stochastic volatility:an analytic approach. The Review of Financial Studies.4(4),727-752.
    [116]Vandaele,N.,Vanmaele,M.2008. A locally risk minimizing hedging strategy for unit-linked life insurance contracts in a Levy process financial market. Insurance:Mathematics and Economics.42,1128-1137.
    [117]van Haastrecht,A.,Plot,R.Pelsser,S.N.2010. Valuation of guaranteed annuity options using a stochatic volatility model for equity prices. Insurance:Mathematics and Economics.47, 266-277.
    [118]Wang, W.2010. Option pricing under regime switching models. Dissertation for Doctor Degree.
    [119]Wiggins,J.B.1987. Option values under stochastic volatility:theory and empirical esti-mates. Journal of Financial Economics.2,351-372.
    [120]Yang, J., Xiao, Q.2010. Risk-minimizing hedging strategies with restricted information and cost. Applied Stochastic Models in Business and Industry.26(4),401-415.
    [121]Yu, F.,2007. Correlated defaults in intensity-based models. Mathematical Finance.17(2), 155-173.

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