Stochastic Calculus for Finance evolved from the first ten years of the Carnegie Mellon Professional Master's program in Computational Finance. The content of this book has been used successfully with students whose mathematics background consists of calculus and calculus-based probability. The text gives both precise statements of results, plausibility arguments, and even some proofs, but more importantly intuitive explanations developed and refine through classroom experience with this material are provided. The book includes a self-contained treatment of the probability theory needed for stochastic calculus, including Brownian motion and its properties. Advanced topics include foreign exchange models, forward measures, and jump-diffusion processes. This book is being published in two volumes. This second volume develops stochastic calculus, martingales, risk-neutral pricing, exotic options and term structure models, all in continuous time. Master's level students and researchers in mathematical finance and financial engineering will find this book useful.
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一般地,不论最初财富x_0以及delta_n如何选择,我们用符号delta_n来表示资产组合中股票的数量,用x_n来表示相应的资产组合的价值。如果所选择的x_0和delta_复制了一个衍生证券,我们用符号v_n来代替x_n,并称之为时刻n的衍生证券(无套利)价格。
一个随机变了是一个将样本空间Ω映射到实数集的函数。一个随机变量的分布是对随机变量取不同值的概率的具体描述。随机变量不是分布,分布也不是随机变量。在通过历史数据估计得到的真实概率测度与风险中性概率测度之间转换时,这一点非常重要。测度的变换将改变随机变量的分布,但是不会改变随机变量本身。
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