这是Stanford教授Luenberger的书，1998年Best.Financial.Engineering.Book
比Bodie 的Investments讲解的要系统深入，非常有助于理解，极度推荐CFAer参考学习。PartI讨论确定性现金流，其中着重讲述了期限结构和免疫等内容；PartII讨论单期随机现金流，讲述了经典的Markowitz Model，CAPM和APT等，还有Risk-Netural Pricing等。PartIII讨论衍生证券，重点讲述期权，而其中的Chapter14讲述利率衍生品，是书中很亮眼的一章，讨论了随机环境中的资产负债管理和免疫等问题。这是一本值得下功夫吃到肚子里的书。——大三精算课老师在否定了很多本教科书和xx资格考试用书的同时，浓墨重彩地推荐出这一本。


简介   · · · · · ·  　 Fueled in part by some extraordinary theoretical developments in finance, an explosive growth of information and computing technology, and the global expansion of investment activity, investment theory currently commands a high level of intellectual attention. Recent developments in the field　are being infused into university classrooms, financial service organizations, business ventures, and into the awareness of many individual investors. Modern investment theory using the language of mathematics is now an essential aspect of academic and practitioner training.
　　 Representing a breakthrough in the organization of finance topics, Investment Science will be an indispensable tool in teaching modern investment theory. It presents sound fundamentals and shows how real problems can be solved with modern, yet simple, methods. David Luenberger gives thorough yet　highly accessible mathematical coverage of standard and recent topics of introductory investments: fixed-income securities, modern portfolio theory and capital asset pricing theory, derivatives (futures, options, and swaps), and innovations in optimal portfolio growth and valuation of multiperiod　risky investments. Throughout the book, he uses mathematics to present essential ideas of investments and their applications in business practice. The creative use of binomial lattices to formulate and solve a wide variety of important finance problems is a special feature of the book.
　　 In moving from fixed-income securities to derivatives, Luenberger increases naturally the level of mathematical sophistication, but never goes beyond algebra, elementary statistics/probability, and calculus. He includes appendices on probability and calculus at the end of the book for student　　 reference. Creative examples and end-of-chapter exercises are also included to provide additional applications of principles given in the text. 　　 Ideal for investment or investment management courses in finance, engineering economics, operations research, and management science departments, Investment Science has been successfully class-tested at Boston University, Stanford University, and the University of Strathclyde, Scotland, and used　in several firms where knowledge of investment principles is essential. Executives, managers, financial analysts, and project engineers responsible for evaluation and structuring of investments will also find the book beneficial. The methods described are useful in almost every field, including　high-technology, utilities, financial service organizations, and manufacturing companies.