``One of the hottest degrees on today's campus is a Masters in Financial Engineering. Whether you need to retrieve hallowed memories or just want to familiarize yourself with the mathematics underlying this degree, this unique book offers a terrific return on investment.”

--Peter Carr, PhD

Global Head of Modeling, Morgan Stanley; Director of the Masters Program in Mathematical Finance, Courant Institute, NYU

``This is the book I always recommend to people who ask about their mathematics before doing an MFE, and a few people could do with reading it after as well."

--Dominic Connor

Director, P&D Quantitative Recruitment

Every exercise from the Second Edition of the Math Primer (175 exercises in total) is solved in detail in this Solutions Manual.

The Solutions Manual to the Second Edition of "A Primer for the Mathematics of Financial Engineering" offers the reader the opportunity to undertake a rigorous self-study of the mathematical topics presented in the Math Primer, with the goal of achieving a deeper understanding of the financial applications therein.

The First Edition of the Solutions Manual proved to be an important resource for prospective financial engineering graduate students.

Using the Solution Manual as a companion to the Math Primer is an efficient way to glean a more advanced perspective on financial engineering applications by studying the solutions of the many challenging exercises. Studying the material from the Math Primer in tandem with the Solutions Manual provides the solid mathematical background required for successful graduate studies.

Informazioni sull?autore:

Dan Stefanica has been the Director of the Baruch MFE Program since its inception in 2002, and is the author of the best-selling A Primer For The Mathematics Of Financial Engineering and A Linear Algebra Primer for Financial Engineering: Covariance Matrices, Eigenvectors, OLS, and more, and co-author of 150 Most Frequently Asked Questions on Quant Interviews. He teaches graduate courses on numerical methods for financial engineering, as well as pre-program courses on advanced calculus and numerical linear algebra with financial applications. His research spans numerical analysis, graph theory, and geophysical fluid dynamics. He has a PhD in mathematics from New York University and taught previously at the Massachusetts Institute of Technology.

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