-
金融衍生工具中的数学
《金融衍生工具中的数学(第2版)》以现代资产定价理论所需的基本数学工具进行了系统全面的介绍,主要内容包括套利定理、风险中性概率、维纳过程、泊松过程、Ito微积分、鞅、偏微分方程、Girsanov定理、Feynman-Kac公式等。该书的一个特色,用简单、清晰的方式将相关数学知识与金融应用很好地结合起来,既为读者弥补了相应数学知识,又能让读者明白这些数学知识在资产定价中是如何应用的。 总的来说,与第一版相比,这一版本的内容几乎增加了一倍。前15章以对印刷和其它错误进行了修订,并新增了几节内容。《金融衍生工具中的数学(第2版)》的新颖之处体现在第二部分的7章内容之中。这几章使用的方法与第一部分类似,涉及固定收益产品和利率产品中的数学工具。最后一章是停时和美式衍生工具的简略介绍。 -
Financial Calculus
The rewards and dangers of speculating in the modern financial markets have come to the fore in recent times with the collapse of banks and bankruptcies of public corporations as a direct result of ill-judged investment. At the same time, individuals are paid huge sums to use their mathematical skills to make well-judged investment decisions. Here now is the first rigorous and accessible account of the mathematics behind the pricing, construction and hedging of derivative securities. Key concepts such as martingales, change of measure, and the Heath-Jarrow-Morton model are described with mathematical precision in a style tailored for market practitioners. Starting from discrete-time hedging on binary trees, continuous-time stock models (including Black-Scholes) are developed. Practicalities are stressed, including examples from stock, currency and interest rate markets, all accompanied by graphical illustrations with realistic data. A full glossary of probabilistic and financial terms is provided. This unique, modern and up-to-date book will be an essential purchase for market practitioners, quantitative analysts, and derivatives traders, whether existing or trainees, in investment banks in the major financial centres throughout the world. -
C++ Design Patterns and Derivatives Pricing
-
Arbitrage Theory in Continuous Time
The third edition of this popular introduction to the classical underpinnings of the mathematics behind finance continues to combine sound mathematical principles with economic applications. Concentrating on the probabilistic theory of continuous arbitrage pricing of financial derivatives, including stochastic optimal control theory and Merton's fund separation theory, the book is designed for graduate students and combines necessary mathematical background with a solid economic focus. It includes a solved example for every new technique presented, contains numerous exercises, and suggests further reading in each chapter. In this substantially extended new edition Bjork has added separate and complete chapters on the martingale approach to optimal investment problems, optimal stopping theory with applications to American options, and positive interest models and their connection to potential theory and stochastic discount factors. More advanced areas of study are clearly marked to help students and teachers use the book as it suits their needs. -
金融数学
Baxter和Rennie极其出色地将困难而且不那么直观的概念讲述得通俗易懂。建议那些对现有的定量化金融思维模式有兴趣的读者,如果你还不知道为什么不是鞅就不可交易,那就立即购买这《金融数学:衍生产品定价引论》,一页一页地阅读,或许还要多读几遍。 ——泰晤士高教增刊 《金融数学:衍生产品定价引论》作为金融数学的基础教材,适用于相关专业的本科生和研究生课程.也可供金融行业的市场实践者、定量分析师和衍生品交易者等相关领域专业人士参考。 睿智、优雅、紧凑,为我们带来了一股清新的空气。这是一本优秀的关于衍生品定价理论的入门之书,应用了现代的概率方法,开金融数学书籍一代风气之先。 ——Risk杂志 总之,Baxter和Rennie清楚地解释了鞅方法的目的,对更现代的数学方法也作了非常清晰的介绍,……他们对这一前沿理论的表述是如此得出色和清晰。强烈建议读者购买《金融数学:衍生产品定价引论》,仅仅第三章就物有所值。 ——英国 《金融数学:衍生产品定价引论》揭示了隐藏在衍生证券定价、结构和套期保值背后的数学。作者既有相当深厚的数学功底,又长期在商学院执教。《金融数学:衍生产品定价引论》精选素材,巧妙地将衍生产品定价的严格数学模型和推导加以简化,并与市场的实际相结合,成就了这本通俗易懂又不失科学性的教材。《金融数学:衍生产品定价引论》原版自出版以来重印已经超过了11次,非常畅销。适用于商学院和数学系本科生作为金融数学或金融工程课程的教材,也是金融人员的必备参考书。 -
Brownian Motion and Stochastic Calculus
A graduate-course text, written for readers familiar with measure-theoretic probability and discrete-time processes, wishing to explore stochastic processes in continuous time. The vehicle chosen for this exposition is Brownian motion, which is presented as the canonical example of both a martingale and a Markov process with continuous paths. In this context, the theory of stochastic integration and stochastic calculus is developed, illustrated by results concerning representations of martingales and change of measure on Wiener space, which in turn permit a presentation of recent advances in financial economics. The book contains a detailed discussion of weak and strong solutions of stochastic differential equations and a study of local time for semimartingales, with special emphasis on the theory of Brownian local time. The whole is backed by a large number of problems and exercises.