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Can Financial Engineering Cure Cancer? - Andrew Lo - TEDxCambridge
Handbook of Financial Engineering
Financial engineering is a multidisciplinary field involving financial theory , methods of engineering , tools of mathematics and the practice of programming. Financial engineering draws on tools from applied mathematics , computer science , statistics and economic theory. Despite its name, financial engineering does not belong to any of the fields in traditional professional engineering even though many financial engineers have studied engineering beforehand and many universities offering a postgraduate degree in this field require applicants to have a background in engineering as well. An older use of the term "financial engineering" that is less common today is aggressive restructuring of corporate balance sheets. Quantitative analyst "Quant" is a broad term that covers any person who uses math for practical purposes, including financial engineers. Mathematical finance is the application of mathematics to finance. Computational finance is a field in computer science and deals with the data and algorithms that arise in financial modeling.
About this book
Over the past decade the financial and business environments have undergone significant changes. During the same period several advances have been made within the field of financial engineering, involving both the methodological tools as well as the application areas. This comprehensive edited volume discusses the most recent advances within the field of financial engineering, focusing not only on the description of the existing areas in financial engineering research, but also on the new methodologies that have been developed for modeling and addressing financial engineering problems. This book is divided into four major parts, each covering different aspects of financial engineering and modeling such as portfolio management and trading, risk management, applications of operation research methods, and credit rating models. Handbook of Financial Engineering is intended for financial engineers, researchers, applied mathematicians, and graduate students interested in real-world applications to financial engineering.