Salih N.Neftci(1947-2009)，著名的金融学者，在资产定价、金融衍生物数学和风险管理方面有独到的研究。出生于土库曼斯坦，在美国明尼苏达大学获博士学位，先后在乔治·华盛顿大学、哥伦比亚大学、纽约城市大学任教，2009年4月于日内瓦去世。

陈典发，1982年南开大学研究生毕业，现任南开大学经济学院金融系教授，金融工程研究中心主任；兼任南开大学深圳金融工程学院教授，计算金融系主任。专业研究方向：随机过程理论、金融数学和金融工程。

Bestselling author Salih Neftci presents a fresh, original, informative, and up-to-date introduction to financial engineering. The book offers clear links between intuition and underlying mathematics and an outstanding mixture of market insights and mathematical materials. Also included are end-of-chapter exercises and case studies.

In a market characterized by the existence of large pools of liquid funds willing to go anywhere, anytime in search of a few points of advantage, there are new risks. Lacking experience with these new risks, firms, governmental entities, and other investors have been surprised by unexpected and often disastrous financial losses. Managers and analysts seeking to employ these new instruments and strategies to make pricing, hedging, trading, and portfolio management decisions require a mature understanding of theoretical finance and sophisticated mathematical and computer modeling skills.

Important and useful because it analyzes financial assets and derivatives from the financial engineering perspective, this book offers a different approach than the existing finance literature in financial asset and derivative analysis. Seeking not to introduce financial instruments but instead to describe the methods of synthetically creating assets in static and in dynamic environments and to show how to use them, his book complements all currently available textbooks. It emphasizes developing methods that can be used in order to solve risk management, taxation, regulation, and above all, pricing problems.

This perspective forms the basis of practical risk management. It will be useful for anyone learning about practical elements of financial engineering.

* Exercises and case studies at end of each chapter and on-line Solutions Manual provided

* Explains issues involved in day-to-day life of traders, using language other than mathematics

* Careful and concise analysis of the LIBOR market model and of volatility engineering problems