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Introduction to the Economics and Mathematics of Financial Markets
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This book provides a very clear and readable approach to the structure, background, and theory of modern financial markets. It can easily be used as a text for a graduate course in quantitative finance and as a reference by practitioners. Unlike more mathematical treatments, however, most of its content should also be accessible to good MBA students. -- Robert J. Elliott, RBC Financial Group Professor of Finance, University of Calgary This book is the first of its kind -- an accessible but rigorous treatment of classic dynamic asset-pricing models, appropriate for master's-level or introductory doctoral courses, and suitable for students from various fields, including economics, finance, or applied mathematics. An excellent contribution. -- Darrell Duffie, Graduate School of Business, Stanford University

About the Author

Jaksa Cvitanic is Professor of Mathematical Finance at the California Institute of Technology and Professor of Finance at EDHEC Business School. Fernando Zapatero is Robert G. Kirby Chair in Behavioral Finance and Professor of Finance and Business Economics at the University of Southern California.

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"This book provides a very clear and readable approach to the structure, background, and theory of modern financial markets. It can easily be used as a text for a graduate course in quantitative finance and as a reference by practitioners. Unlike more mathematical treatments, however, most of its content should also be accessible to good MBA students."--Robert J. Elliott, RBC Financial Group Professor of Finance, University of Calgary "This book is the first of its kind--an accessible but rigorous treatment of classic dynamic asset-pricing models, appropriate for master's-level or introductory doctoral courses, and suitable for students from various fields, including economics, finance, or applied mathematics. An excellent contribution." Darrell Duffie, Graduate School of Business, Stanford University "This book is the first of its kind -- an accessible but rigorous treatment of classic dynamic asset-pricing models, appropriate for master's-level or introductory doctoral courses, and suitable for students from various fields, including economics, finance, or applied mathematics. An excellent contribution."--Darrell Duffie, Graduate School of Business, Stanford University

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