《时间序列分析:单变量和多变量方法(第2版)》不仅对单变量与多变量时间序列的时域和频域分析提供了一个全面介绍，而且在书中包含了许多单变量和多变量时问序列模型的新进展，如逆自相关函数、扩展样本自相关函数、干预分析及干预探测、向量自回归移动平均模型、偏滞后自相关矩阵函数、局部过程、状态空间模型、卡尔曼滤波、非季节和季节模型的单位根检验等许多内容。《时间序列分析:单变量和多变量方法(第2版)》结合大量的应用实例说明时间序列分析方法的应用，极大地方便了读者对这些方法的学习和理解。

This book provides a broad, mature, and systematic introduction to current financial econometric models and their applications to modeling and prediction of financial time series data. It utilizes real-world examples and real financial data throughout the book to apply the models and methods described. The author begins with basic characteristics of financial time series data before covering three main topics: Analysis and application of univariate financial time series The return series of multiple assets Bayesian inference in finance methods Key features of the new edition include additional coverage of modern day topics such as arbitrage, pair trading, realized volatility, and credit risk modeling; a smooth transition from S-Plus to R; and expanded empirical financial data sets. The overall objective of the book is to provide some knowledge of financial time series, introduce some statistical tools useful for analyzing these series and gain experience in financial applications of various econometric methods.

In Volatility and Correlation 2 nd edition: The Perfect Hedger and the Fox , Rebonato looks at derivatives pricing from the angle of volatility and correlation. With both practical and theoretical applications, this is a thorough update of the highly successful Volatility & Correlation – with over 80% new or fully reworked material and is a must have both for practitioners and for students. The new and updated material includes a critical examination of the ‘perfect-replication’ approach to derivatives pricing, with special attention given to exotic options; a thorough analysis of the role of quadratic variation in derivatives pricing and hedging; a discussion of the informational efficiency of markets in commonly-used calibration and hedging practices. Treatment of new models including Variance Gamma, displaced diffusion, stochastic volatility for interest-rate smiles and equity/FX options. The book is split into four parts. Part I deals with a Black world without smiles, sets out the author’s ‘philosophical’ approach and covers deterministic volatility. Part II looks at smiles in equity and FX worlds. It begins with a review of relevant empirical information about smiles, and provides coverage of local-stochastic-volatility, general-stochastic-volatility, jump-diffusion and Variance-Gamma processes. Part II concludes with an important chapter that discusses if and to what extent one can dispense with an explicit specification of a model, and can directly prescribe the dynamics of the smile surface. Part III focusses on interest rates when the volatility is deterministic. Part IV extends this setting in order to account for smiles in a financially motivated and computationally tractable manner. In this final part the author deals with CEV processes, with diffusive stochastic volatility and with Markov-chain processes. Praise for the First Edition: “In this book, Dr Rebonato brings his penetrating eye to bear on option pricing and hedging.… The book is a must-read for those who already know the basics of options and are looking for an edge in applying the more sophisticated approaches that have recently been developed.” —Professor Ian Cooper, London Business School “Volatility and correlation are at the very core of all option pricing and hedging. In this book, Riccardo Rebonato presents the subject in his characteristically elegant and simple fashion…A rare combination of intellectual insight and practical common sense.” —Anthony Neuberger, London Business School

《金融数学教程(英文版)》：诺贝尔经济学奖已经至少3次授予以数学为工具分析金融问题的经济学家。金融数学这门新兴的交叉学科已经成为国际金融界的一枝奇葩。金融数学的发展曾两次引发了“华尔街革命”。今天，金融数学家已经是华尔街最抢手的人才之一。目前国内金融行业最紧缺的就是掌握现代金融衍生工具的应用、能对金融风险做定量分析的、既然懂金融又懂数学的高级复合型人才。 本书是牛津大学金融数学教材，含有大量的习题和例子，面向有一定数学基础的读者。并被斯坦福大学、芝加哥大学、加州大学亚圣迭戈分校等名校选用。书中介绍了一些基本概念和二叉树、鞅、布朗运动、随机积分及Black-Scholes期权定价公式及一些复杂的金融模型和金融产品。

本书主要介绍金融工程中级技术操作方法，内容涉及奇异合约和路径依赖、固定收益建模与衍生品以及信用风险。书中作者主要探讨了奇异和路径依赖合约、障碍期权、强路径依赖衍生品、亚式期权、回溯期权、衍生品和随机控制、单因子利率建模、收益率曲线拟合、利率衍生品、可转债、按揭支持证券、多因子利率建模、瞬时利率的实证表现、HJM和BGM模型、固定收益产品说明书、公司价值和违约风险、信用衍生品、RiskMetrics和CreditMetrics、CrashMetrics以及衍生品灾难案例。

Mandelbrot is world famous for his creation of the new mathematics of fractal geometry. Yet few people know that his original field of applied research was in econometrics and financial models, applying ideas of scaling and self-similarity to arrays of data generated by financial analyses. This book brings together his original papers as well as many original chapters specifically written for this book.

《连续时间金融》(修订版)从代理人可以在连续时间中调整其决策这样一个模型出发，发展了金融数学和金融经济理论。时间和不确定性是影响金融经济行为的核心要素。也正是时间和不确定性二者相互作用的复杂性，为金融研究提出了智力上的挑战并使之激动之心。正确分析二者相互作用的影响，通常需要复杂的分析工具。实际上，高深的数学训练已经成为本领域研究者必备的条件。然而，尽管它的数学很复杂，但金融理论还是对金融实践产生了直接的、巨大的影响。只要我们随便将当前的实践与20年前的实践比较一下，就足以发现有效市场理论、投资组合选择、风险分析以及未定权益定价理论对货币管理、金融中介机构、投资银行、公司金融以及资本预算程序所产生的冲击；人们甚至还能发现金融理论对法律问题产生的影响，例如涉及到资产评估的案件、对受管制行业收益率的听证以及对监管那些信托机构“精明人”行为创新的浪潮中，金融理论所起的作用。

《数理金融基准分析法》第一部分介绍了概率理论、统计学、随机微积分以及带跳跃的随机微分方程中的一些必要工具。第二部分专门介绍了基准分析法的金融建模。这一部分对衍生工具的真实世界定价与对冲的多种数量方法进行了解释。其应用的一般性框架可以增进读者对随机波动率本质的了解。《数理金融基准分析法》适用于数量分析师、研究生以及金融、经济和保险领域的从业人士。《数理金融基准分析法》旨在为具有一定数学或数量背景的读者提供一个自成体系、容易理解但又具有数学意义上的严谨性的数理金融入门读物。最后，我们相信《数理金融基准分析法》通过对基准分析法的威力和广泛适用性的描述将激起读者们对基准分析法的浓厚兴趣。

《计量经济学导论(第3册)》从计量经济学专业人士的视角来讲授计量经济学导论，不仅使这门学科更有意思，而且实际上讲解起来还更简单。其内容有：计量经济学的性质与经济数据、简单回归模型等。

This popular text, publishing Spring 1999 in its Second Edition, introduces the mathematics underlying the pricing of derivatives. The increase of interest in dynamic pricing models stems from their applicability to practical situations: with the freeing of exchange, interest rates, and capital controls, the market for derivative products has matured and pricing models have become more accurate. Professor Neftci's book answers the need for a resource targeting professionals, Ph.D. students, and advanced MBA students who are specifically interested in these financial products. The Second Edition is designed to make the book the main text in first year masters and Ph.D. programs for certain courses, and will continue to be an important manual for market professionals.

本书的目标读者主要是本科生或硕士研究生（包括MBA学生），这些学生需要掌握广泛的现代计量经济技术。同时我们也希望，该书对需要了解金融领域广泛使用的统计工具的研究者（包括理论型的和应用型的）有所帮肋。本书还可用于金融学、金融经济学、证券和投资学的本科生或研究生的金融时间序列分析或金融计量经济学课程。 为了尽可能被读者所接受，本书尽量降低数量技术知识方面的要求，读者只需具备初等的微积分，代数（包括矩阵）以及基础统计学知识即可，本书在附录部分对它们进行了简单的叙述。本书始终强调的是将这些技术有效地应用于处理金融领域中的真实数据和问题。 在金融和投资领域方面，本书假定读者已具有公司理财，金融市场和投资学的基础知识。因此，诸如现代投资组合理论、资本资产定价模型（CAPM）、套利定价理论（APT）、有效市场假说、衍生证券定价以及利率期限结构等问题，虽然在整本书中经常提及，但本书并未对其进行深入探讨。

The ability to effectively create and interpret financial models is one of the most valued skills in corporate finance--from Wall Street to Main Street. Now, the acclaimed guide to designing, building, and implementing valuation projection models is fully revised and expanded to keep finance and accounting professionals competitive in today's marketplace. This second edition of Building Financial Models continues the tradition of its predecessor by providing a hands-on approach to creating a core model that is supported by broad coverage of cornerstone accounting and finance principles. Additionally, this updated volume features: Entirely new coverage of discounted cash flow (DCF) modeling Excel formulas for making powerful calculations within the spreadsheet In-depth explanations of both the principles and mechanics of projection models Building Financial Models helps readers practice good thinking and apply sound knowledge of their tools--two key attributes to producing robust and easy-to-use models. This practical guide takes you step by step through the entire process of developing a projection model, with a full chapter dedicated to each phase. By the end, you will have a working, dynamic spreadsheet financial model for making projections for industrial and manufacturing companies. Furthermore, this Second Edition provides the vocabulary and syntax of model building so you can tailor core models to fit any size company and allow for quick input changes to test sensitivity. The companion website www.buildingfinancialmodel.com offering example spreadsheets will give you a head start on developing your own models. A flexible and successful financial projection model does more than just add numbers--it explains the complex relationships between those numbers and illuminates ways to use those associations to add value to an enterprise. Building Financial Models is the only book you need to create and implement a fluid financial projection model that is both state of the art and user friendly.

以光速旅行，决胜于分秒之间 揭开量化投资的黑匣子，洞悉机构投资者的秘诀 量化投资方法正越来越受到广大的机构投资投资者的关注，其代表者吉姆·西蒙斯在股市下行的2008年中将25亿美元的收益收入囊中。高频交易作为量化投资的重要方法，也引起了海内外投资界的广泛兴趣。据不完全统计，2008年，采用传统低频交易的投资者有70%处于亏损，而高频交易基金经理几乎都在当年实现了盈利。 那么究竟何为高频交易？高频交易背后的原理是什么？量化投资者又是怎样利用这一工具实现惊人的收益呢？ 本书作者站在专业的高度，用平实的语言和丰富的图表，带我们走进量化投资的黑匣子，向我们展示了这台复杂的“金融仪器”是如何运作的。书中的内容涵盖了高频交易的方方面面——从形成想法并开发交易系统，到投入资金并进行表现评估——这些详实的信息将让你在如今风云诡谲的市场上更具竞争优势。

By some estimates, quantitative (or algorithmic) trading now accounts for over one-third of trading volume in the United States. While institutional traders continue to implement this highly effective approach, many independent traders—with limited resources and less computing power—have wondered if they can still challenge powerful industry professionals at their own game? The answer is "yes," and in Quantitative Trading, author Dr. Ernest Chan, a respected independent trader and consultant, will show you how. Whether you're an independent "retail" trader looking to start your own quantitative trading business or an individual who aspires to work as a quantitative trader at a major financial institution, this practical guide contains the information you need to succeed. Organized around the steps you should take to start trading quantitatively, this book skillfully addresses how to: * Find a viable trading strategy that you're both comfortable with and confident in * Backtest your strategy—with MATLAB®, Excel, and other platforms—to ensure good historical performance * Build and implement an automated trading system to execute your strategy * Scale up or wind down your strategies depending on their real-world profitability * Manage the money and risks involved in holding positions generated by your strategy * Incorporate advanced concepts that most professionals use into your everyday trading activities * And much more While Dr. Chan takes the time to outline the essential aspects of turning quantitative trading strategies into profits, he doesn't get into overly theoretical or sophisticated theories. Instead, he highlights the simple tools and techniques you can use to gain a much-needed edge over today's institutional traders. And for those who want to keep up with the latest news, ideas, and trends in quantitative trading, you're welcome to visit Dr. Chan's blog, epchan.blogspot.com, as well as his premium content Web site, epchan.com/subscriptions, which you'll have free access to with purchase of this book. As an independent trader, you're free from the con-straints found in today's institutional environment—and as long as you adhere to the discipline of quantitative trading, you can achieve significant returns. With this reliable resource as your guide, you'll quickly discover what it takes to make it in such a dynamic and demanding field.

《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。

本书是金融时间序列分析领域不可多得的上乘之作，第1版面世后即成为该领域最具影响力的作品。作者在全面阐述金融时间序列分析理论知识的同时，还系统地介绍了金融计量经济模型及其在金融时间序列数据的建模和预测中的应用。第3版使用能够免费得到的R软件包，可以对金融数据进行实证分析，也可以使用现实的例子对相关计算和分析进行说明。本书还对金融计量经济学的最新进展进行了深入分析，例如实现波动率、条件风险值、统计套利及持续期和动态相关模型的应用。 第3版新增加的内容还包括以下几方面。  在高频数据分析和市场微观结构的所有讨论中，都使用了非线性持续期模型。 新增加了一些非线性模型和方法的应用。  更新了多元时间序列分析，分析了协整应用到配对交易分析的实用性。 使用损失函数这个新的统一的方法分析风险值。  在相依数据的极值、分位数和风险值的研究中，引入了极值指数。

Modelling with the Ito integral or stochastic differential equations has become increasingly important in various applied fields, including physics, biology, chemistry and finance. However, stochastic calculus is based on a deep mathematical theory. This text should be suitable for the reader without a deep mathematical background. It seeks to provide an elementary introduction to that area of probability theory, without burdening the reader with a great deal of measure theory. Applications are taken from stochastic finance. In particular, the Black-Scholes option pricing formula is derived.