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.

在金融领域一些非凡的理论发展、信息和计算技术的爆炸式增长以及投资活动的全球扩张的推动下，投资理论目前受到了学术界的高度关注。该领域的最新发展正在注入大学课堂、金融服务机构、商业风险以及许多个人投资者的意识。使用数学语言的现代投资理论现在是学术和实践者培训的一个重要方面。投资学是金融学学科建设的一大突破，将成为现代投资理论教学不可或缺的工具。它提出了健全的基本原则，并显示如何真正的问题可以解决与现代，但简单的方法。David Luenberger对标准和最新的介绍性投资主题进行了全面而易用的数学覆盖：固定收益证券、现代投资组合理论和资本资产定价理论、衍生品（期货、期权和掉期），以及在最优投资组合增长和多期风险投资估值方面的创新。在整本书中，他用数学来表达投资的基本思想及其在商业实践中的应用。创造性地使用二项式格来制定和解决各种各样的重要金融问题，是本书的一大特色。在从固定收益证券转向衍生品的过程中，Luenberger自然地提高了数学的复杂程度，但从未超越代数、初等统计/概率和微积分。