Mathematical Methods for Finance: Tools for Asset and Risk Management (Frank J. Fabozzi Series) - Hardcover

Über die Autorin bzw. den Autor

SERGIO M. FOCARDI, PHD, is a Visiting Professor in the College of Business at the State University of New York at Stony Brook and founding partner of the Paris-based consulting firm The Intertek Group. He is a member of the editorial board of the Journal of Portfolio Management. Focardi has authored numerous articles and books on financial modeling and risk management and three monographs for the Research Foundation of the CFA Institute.

FRANK J. FABOZZI, PHD, CFA, is Professor of Finance at EDHEC Business School and a member of the EDHEC-Risk Institute. Prior to joining EDHEC in August 2011, he held various professorial positions in finance at Yale University’s School of Management from 1994 to 2011 and was a visiting professor of finance and accounting at MIT’s Sloan School of Management from 1986 to 1992. He is also Editor of the Journal of Portfolio Management.

TURAN G. BALI, PHD, is the Robert S. Parker Chair Professor of Business Administration at the McDonough School of Business at Georgetown University. Before joining Georgetown, Professor Bali was the David Krell Chair Professor of Finance at Baruch College and the Graduate School and University Center of the City University of New York. He also held visiting faculty positions at New York University and Princeton University. Professor Bali has published more than fifty articles in economics and finance journals. He is currently an associate editor of the Journal of Banking and Finance, Journal of Futures Markets, Journal of Portfolio Management, and Journal of Risk.

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Modern finance draws upon many fields of mathematics―from probability and statistics to stochastic calculus―and the level of mathematical skill needed to master today’s financial markets is extremely high.

Nobody understands this better than the author team of Sergio Focardi, Frank Fabozzi, and Turan Bali. Now, in Mathematical Methods for Finance, they draw upon their extensive experience in this important area in order to help both practitioners and students gain a firm understanding of the subject.

Covering a wide range of technical topics in mathematics and finance, this reliable resource opens with an informative discussion of three basic concepts―which are used in financial theory, financial modeling, and financial econometrics―found throughout the book: sets, functions, and variables. From there, it introduces and explains key mathematical techniques, ranging from differential and integral calculus, matrix algebra, and probability theory to difference and differential equations, optimization, and stochastic integrals. Page by page, you’ll discover how these techniques are successfully implemented in asset management and risk management.

Each chapter begins with a brief description of how the tools and concepts covered are used in finance, followed by learning objectives. And a wealth of real-world examples―of how quantitative analysis is used in practice―skillfully highlights the connection between this analysis and financial decision-making.

Bridging the gap between the intuition of a practitioner and academic mathematical analysis, Mathematical Methods for Finance is an essential guide for anyone who intends on exceling in today’s demanding world of finance.

Aus dem Klappentext

Modern finance draws upon many fields of mathematics—from probability and statistics to stochastic calculus—and the level of mathematical skill needed to master today's financial markets is extremely high.

Nobody understands this better than the author team of Sergio Focardi, Frank Fabozzi, and Turan Bali. Now, in Mathematical Methods for Finance, they draw upon their extensive experience in this important area in order to help both practitioners and students gain a firm understanding of the subject.

Covering a wide range of technical topics in mathematics and finance, this reliable resource opens with an informative discussion of three basic concepts—which are used in financial theory, financial modeling, and financial econometrics—found throughout the book: sets, functions, and variables. From there, it introduces and explains key mathematical techniques, ranging from differential and integral calculus, matrix algebra, and probability theory to difference and differential equations, optimization, and stochastic integrals. Page by page, you'll discover how these techniques are successfully implemented in asset management and risk management.

Each chapter begins with a brief description of how the tools and concepts covered are used in finance, followed by learning objectives. And a wealth of real-world examples—of how quantitative analysis is used in practice—skillfully highlights the connection between this analysis and financial decision-making.

Bridging the gap between the intuition of a practitioner and academic mathematical analysis, Mathematical Methods for Finance is an essential guide for anyone who intends on exceling in today's demanding world of finance.