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.

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.

A state-of-the-art introduction to the powerful mathematical and statistical tools used in the field of finance The use of mathematical models and numerical techniques is a practice employed by a growing number of applied mathematicians working on applications in finance. Reflecting this development, Numerical Methods in Finance and Economics: A MATLAB?-Based Introduction, Second Edition bridges the gap between financial theory and computational practice while showing readers how to utilize MATLAB?--the powerful numerical computing environment--for financial applications. The author provides an essential foundation in finance and numerical analysis in addition to background material for students from both engineering and economics perspectives. A wide range of topics is covered, including standard numerical analysis methods, Monte Carlo methods to simulate systems affected by significant uncertainty, and optimization methods to find an optimal set of decisions. Among this book's most outstanding features is the integration of MATLAB?, which helps students and practitioners solve relevant problems in finance, such as portfolio management and derivatives pricing. This tutorial is useful in connecting theory with practice in the application of classical numerical methods and advanced methods, while illustrating underlying algorithmic concepts in concrete terms. Newly featured in the Second Edition: * In-depth treatment of Monte Carlo methods with due attention paid to variance reduction strategies * New appendix on AMPL in order to better illustrate the optimization models in Chapters 11 and 12 * New chapter on binomial and trinomial lattices * Additional treatment of partial differential equations with two space dimensions * Expanded treatment within the chapter on financial theory to provide a more thorough background for engineers not familiar with finance * New coverage of advanced optimization methods and applications later in the text Numerical Methods in Finance and Economics: A MATLAB?-Based Introduction, Second Edition presents basic treatments and more specialized literature, and it also uses algebraic languages, such as AMPL, to connect the pencil-and-paper statement of an optimization model with its solution by a software library. Offering computational practice in both financial engineering and economics fields, this book equips practitioners with the necessary techniques to measure and manage risk.

This book will prepare you for quantitative finance interviews by helping you zero in on the key concepts that are frequently tested in such interviews. In this book we analyze solutions to more than 200 real interview problems and provide valuable insights into how to ace quantitative interviews. The book covers a variety of topics that you are likely to encounter in quantitative interviews: brain teasers, calculus, linear algebra, probability, stochastic processes and stochastic calculus, finance and programming.

本书论述统计套利的历史，描述了从20世纪80年代开始，这项策略自摩根士丹利诞生的第一天，一直到考验重重的21世纪初期；本书也诠释了统计套利如何运作的方式，以及为什么管用的原因。作者根据自己的研究结果，以及八年来操作统计套利避险基金的经验，写成本书，对于统计套利二十余年的发展，进行了完整的回顾。 本书充满了许多创新的信息与专家的忠告；不论是想要对这个领域有整体看法的个人投资者，或者是希望对模型化、风险管理以及如何应用这项策略，想要得到更关键而深入见解的机构投资人来说，本书所包含的重要分析，极具吸引力。

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。

《数理金融初步》(原书第2版)清晰简洁地阐述了数理金融学的基本问题，主要包括套利、Black-Scholes期权定价公式以及效用函数、最优资产组合原理、资产本资产定价模型等知识，并将书中所讨论的问题的经济背景、解决这些问题的数学方法和基本思想系统地展示给读者。

本书自第一版发行以来，20多年来在美国非常畅销(第一版名为《经济数学》，《数理经济学引论》是其第三版)．本书为经济学家、社会科学家及商业专业学生提供了大量所需的数学内容． 本书强调的是概念的实际背景及在经济、金融和社会中的应用，为读者学习数学及如何在实际中使用数学指明了方向。全书共分21章，对微积分、微分方程、矩阵代数、线形规划的基本原理及其在经济中的应用进行了介绍，书中还涉及对数微分、

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.

《俄罗斯数学教材选译•随机金融基础(第1卷):事实•模型》内容简介：《随机金融基础》原版自1998年出版以来，被认为是“随机金融数学方面最深刻的一本著作”。全书共分两卷。每一卷都包含四章。第一卷的副题为：事实，模型。第二卷的副题为：理论。这两卷的内容既相互联系，又相对独立。读者可把《随机金融基础》看作一本 “随机金融数学全书”。第一卷的第一章有关国际金融市场以及金融理论和金融工程的 “事实 ”。它可看作一位前苏联数学家对西方金融市场和金融理论、金融工程的独特理解。其中作者不但概述了金融市场的基本状况、金融学的基本概念以及马科维奇证券组合选择理论、资本资产定价模型(CAPM)、罗斯套利定价理论 (APT)、有效市场理论等，甚至还简要介绍了保险业和精算理论。第一卷的后三章都有关金融学的随机“模型”：离散模型、连续模型和统计模型。作者提出，杜布分解、局部鞅、鞅变换等概念在价格模型的套利定价讨论中起本质作用；而对于统计模型，除了高观点介绍各种线性模型以外，详尽介绍了近年发展起来的 ARCH 和 GARCH 类模型以及随机波动率模型。同时，还讨论混沌理论、分形理论和各种数据统计分析方法在金融资产价格模型中的应用。关于连续模型的内容远超过一般的金融数学教材和专著。除了用基于布朗运动的随机分析来描述的模型以外，还对最一般的半鞅模型作精辟介绍。同时，详细阐述稳定分布和稳定过程、列维过程、双曲分布和双曲过程以至更一般的无限可分分布等重要工具。 第二卷有关“理论”的四章是：“随机金融模型中的套利理论”或“定价理论”；先是“离散时间”，再是 “连续时间”。“套利理论”主要指资产定价的第一和第二基本定理：市场无套利机会等价于存在(局部)等价概率鞅测度，使得所有证券的折现价格过程为鞅(第一定理)，并且当市场完全时，这样的鞅测度是唯一的(第二定理)。这些定理在近二、三十年的研究中已经近乎尽善尽美，无论对数学还是对金融的发展都有深远影响。但所涉及的数学工具也越来越艰深。作者高瞻远瞩，抓住要害，以他的统一观点来综述这方面从离散模型到连续(半鞅)模型的各种最新成果及其证明，使人一目了然。“定价理论” 是指通过投资策略进行风险对冲来对未定权益进行定价的理论。作者通过 “(对冲)上价格” 和 “(对冲)下价格” 的概念给出了离散时间的对冲定价公式，并指出它们与等价概率鞅测度之间的联系。由此对经典的布莱克－舒尔斯期权定价理论作出更加入木三分的数学分析。作者还详尽讨论与最优停止问题和斯蒂芬问题相联系的美式期权定价理论。

《市场的(错误)行为:风险、破产与收益的分形观点》是现代金融理论标准工具和模型的一次革命性的重估。曼德尔布罗特的新鲜见解突破了引发成千上万的投资者、交易商和管理者低估市场真实风险的错误假设。他的天赋使投资者确信，不能以同样的方式重复看待市场或者它们的组合。随着分形几何学的发现，数学超人贝努瓦·曼德尔布罗特永久地改变了我们理解自然奧秘的方式，影响了从混沌理论到计算机模拟的诸多现代领域。现在，他与科学新闻工作者、《华尔街日报》前主编理查德·L·赫德森一起，以分形的视角观察金融市场的行为，并且推翻了作为所有当代金融分析基础的“随机游走”理论。我们知道，市场远比我们想要相信的更具风险性。化繁为简的能力使得曼德尔布罗特成为20世纪最具影响力的数学家之一。通过他的分形模型，世界市场的（错误）行为——从IBM的股价和道琼斯指数的回转，到棉花交易，以及美元对欧元的汇率——可以被较之陈旧的理论更为精确的术语所诠释。

Developed for the professional Master's program in Computational Finance at Carnegie Mellon, the leading financial engineering program in the U.S. Has been tested in the classroom and revised over a period of several years Exercises conclude every chapter; some of these extend the theory while others are drawn from practical problems in quantitative finance

在线阅读本书 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.

《金融时间序列分析》主要介绍了计量经济学和统计学文献中出现的金融计量方法方面的最新进展，强调实例和数据分析。特别是包含当前的研究热点，如风险值、高频数据分析和马尔町夫链蒙特卡罗方法等。主要内容包括：金融时间序列数据的基本特征，神经网络，非线性方法，使用跳跃扩散方程进行衍生产品的定价，采用极值理论计算风险值，带时变相关系数的多元波动率模型，贝叶斯推断。 《金融时间序列分析》可作为金融等专业高年级本科生或研究生的时间序列分析教材，也可供相关专业研究人员参考。

New York Times Bestseller Edward O. Thorp is the father of card counting, and in Beat the Dealer he reveals the revolutionary point system that has been successfully used by professional and amateur card players for two generations. From Las Vegas to Monte Carlo, the tables have been turned and the house no longer has the advantage at blackjack. Containing the basic rules of the game, proven winning strategies, how to overcome casino counter measures and spot cheating. Beat the Dealer is the bible for players of this game of chance. Perforated cards included in the book are a convenient way to bring the strategies into the casino. A winning strategy for the game of 21. The essentials, consolidated in simple charts, can be understood and memorized by the average player.

《金融建模与投资管理中的数学》涵盖了金融和数学的广泛的技术选题——力图使投资管理实践者、研究人员和学生全面了解金融决策过程及其经济学基础。这一丰富的资源将向你介绍关键的数学技术:矩阵代数、微积分、常微分方程、概率论、随机分析、时间序列分析、优化——同肘向你展现这些技术如何在现代金融领域得到成功的使用。对那些能够帮助我们更深入地理解金融计量学和金融经济学的新的数学工具更是给予了特别的关注。对于金融计量学的最近的进展,如估计和表示分布尾部的工具、相关现象的分析、通过因素分析和协整降维等,进行了深入的讨论。 借助大量的实例,福卡尔迪和法博齐同时向我们展示了数学技术和这些技术所应用的金融领域,包括广泛的有用的金融应用,如: 套利定价 利率建模 衍生品定价 信用风险管理 股票和债券投资组合管理 风险管理及其他 《金融建模与投资管理中韵数学》、以深入的视角和专业的见解将金融理论和数学技术紧密地联系起来。

本书以易于理解的方式讲述了时间序列模型及其应用，主要内容包括：趋势、平稳时间序列模型、非平稳时间序列模型、模型识别、参数估计、模型诊断、预测、季节模型、时间序列回归模型、异方差时间序列模型、谱分析入门、谱估计、门限模型.对所有的思想和方法，都用真实数据集和模拟数据集进行了说明. 本书可作为高等院校统计、经济、商科、工程及定量社会科学等专业学生的教材或教学参考书，同时也可供相关技术人员使用.

《数字信徒:来自赌场的商业智慧》内容简介：华裔“赌圣”马恺文，传奇的“麻省理工21点小组”成员，靠着如“英特尔芯片”一般神准的算牌能力和队友们席卷美国各地赌城，最终被赌场列入黑名单，成为“不受欢迎的人”。但传奇并没有停止，马恺文的数学天赋成就了他的赌场神话，也让他成长为新一代的成功企业家。从麻省理工学院毕业后，马恺文在证券行业、互联网行业闯出了一片天地。他划时代地将数学和计量分析方法引入商界，创造了数亿美元的价值。《数字信徒:来自赌场的商业智慧》中，他将结合自己在商界打拼的亲身经历，深入浅出讲述企业如何作出最优的运营和投资决策，如何在商业环境中抓住稍纵即逝的机会创造巨额利润。无论是寻找市场中暗藏的商机，还是为企业制定各类避险方案，马恺文都能展示出数字的独有魅力。马恺文不仅是赌场中的高手，更是商界中的奇才。那些运用在赌桌上的分析方法完全可以照搬到商业中来。要知道，单凭感觉一拍脑袋作决定的时代已经一去不回了。