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- 800 pages
- 28 hours of reading
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This comprehensive resource covers a wide range of technical topics in mathematics and finance, enabling practitioners, researchers, and students to grasp financial decision-making and its economic foundations. Key mathematical techniques such as matrix algebra, calculus, ordinary differential equations, probability theory, stochastic calculus, time series analysis, and optimization are introduced, demonstrating their successful implementation in modern finance. Emphasis is placed on new mathematical tools that enhance understanding of financial econometrics and economics, including recent advances in estimating distribution tails, analyzing correlation phenomena, and dimensionality reduction through factor analysis and cointegration. Real-world examples illustrate both the mathematical techniques and their applications in finance, including arbitrage pricing, interest rate modeling, derivative pricing, credit risk modeling, equity and bond portfolio management, and risk management. Filled with in-depth insights and expert advice, this resource effectively connects financial theory with mathematical techniques, providing a valuable guide for anyone involved in financial modeling and investment management.
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The Frank J. Fabozzi Series: The Mathematics of Financial Modeling and Investment Management, Sergio M. Focardi, Frank J. Fabozzi
- Language
- Released
- 2004
- product-detail.submit-box.info.binding
- (Hardcover),
- Book condition
- Very Good
- Price
- €29.49
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- Title
- The Frank J. Fabozzi Series: The Mathematics of Financial Modeling and Investment Management
- Language
- English
- Authors
- Sergio M. Focardi, Frank J. Fabozzi
- Publisher
- Wiley
- Released
- 2004
- Format
- Hardcover
- Pages
- 800
- ISBN10
- 0471465992
- ISBN13
- 9780471465997
- Series
- Description
- This comprehensive resource covers a wide range of technical topics in mathematics and finance, enabling practitioners, researchers, and students to grasp financial decision-making and its economic foundations. Key mathematical techniques such as matrix algebra, calculus, ordinary differential equations, probability theory, stochastic calculus, time series analysis, and optimization are introduced, demonstrating their successful implementation in modern finance. Emphasis is placed on new mathematical tools that enhance understanding of financial econometrics and economics, including recent advances in estimating distribution tails, analyzing correlation phenomena, and dimensionality reduction through factor analysis and cointegration. Real-world examples illustrate both the mathematical techniques and their applications in finance, including arbitrage pricing, interest rate modeling, derivative pricing, credit risk modeling, equity and bond portfolio management, and risk management. Filled with in-depth insights and expert advice, this resource effectively connects financial theory with mathematical techniques, providing a valuable guide for anyone involved in financial modeling and investment management.