关于回溯选项与固定罢工

Y. Kitapbayev
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引用次数: 6

摘要

利用三维马尔可夫过程的最优停止问题的解,研究了有限视界情况下的固定走向的回望选项。贾佩夫,有限视界扩散模型中最优停止的折扣,电子学报。[j].文献学报,2006,pp. 1031-1048]。本文的目的是说明[P.]中解的另一种推导。贾佩夫,有限视界扩散模型中最优停止的折扣,电子学报。[j].文献学报,2006,pp. 1031-1048]。其关键思想是使用Girsanov测度变换定理,该定理允许将三维最优停车问题简化为具有标度打击的二维最优停车问题。该方法简化了无套利价格和合理行权边界的讨论和表达式。我们用最优停止边界导出了二维问题的值函数的封闭表达式,并证明了最优停止边界本身可以表征为非线性积分方程的唯一解。利用这些结果,我们得到了期权的无套利价格和合理行权边界。
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On the lookback option with fixed strike
The lookback option with fixed strike in the case of finite horizon was examined with help of the solution to the optimal stopping problem for a three-dimensional Markov process in [P. Gapeev, Discounted optimal stopping for maxima in diffusion models with finite horizon, Electron. J. Probab. 11 (2006), pp. 1031–1048]. The purpose of this paper was to illustrate another derivation of the solution in [P. Gapeev, Discounted optimal stopping for maxima in diffusion models with finite horizon, Electron. J. Probab. 11 (2006), pp. 1031–1048]. The key idea is to use the Girsanov change-of-measure theorem which allows to reduce the three-dimensional optimal stopping problem to a two-dimensional optimal stopping problem with a scaling strike. This approach simplifies the discussion and expressions for the arbitrage-free price and the rational exercise boundary. We derive a closed-form expression for the value function of the two-dimensional problem in terms of the optimal stopping boundary and show that the optimal stopping boundary itself can be characterized as the unique solution to a nonlinear integral equation. Using these results we obtain the arbitrage-free price and the rational exercise boundary of the option.
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来源期刊
CiteScore
1.90
自引率
0.00%
发文量
42
审稿时长
>12 weeks
期刊介绍: Stochastics: An International Journal of Probability and Stochastic Processes is a world-leading journal publishing research concerned with stochastic processes and their applications in the modelling, analysis and optimization of stochastic systems, i.e. processes characterized both by temporal or spatial evolution and by the presence of random effects. Articles are published dealing with all aspects of stochastic systems analysis, characterization problems, stochastic modelling and identification, optimization, filtering and control and with related questions in the theory of stochastic processes. The journal also solicits papers dealing with significant applications of stochastic process theory to problems in engineering systems, the physical and life sciences, economics and other areas. Proposals for special issues in cutting-edge areas are welcome and should be directed to the Editor-in-Chief who will review accordingly. In recent years there has been a growing interaction between current research in probability theory and problems in stochastic systems. The objective of Stochastics is to encourage this trend, promoting an awareness of the latest theoretical developments on the one hand and of mathematical problems arising in applications on the other.
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