Mathematical Methods for Finance
| AUTHOR | Fabozzi, Frank J.; Fabozzi, Frank J.; Fabozzi, Frank J. et al. |
| PUBLISHER | Wiley (09/23/2013) |
| PRODUCT TYPE | Hardcover (Hardcover) |
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.
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.
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.