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Corporate finance --- Finance --- -AA / International- internationaal --- 305.91 --- 51 --- 657.02 --- 332.0151 --- Funding --- Funds --- Economics --- Currency question --- Mathematical models --- Econometrie van de financiële activa. Portfolio allocation en management. CAPM. Bubbles --- Wiskunde --- Handelsrekenen. Financiële algebra. Actuariële wiskunde. Aflossingstabellen --- -Mathematical models
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A comprehensive introduction to various numerical methods used in computational finance today Quantitative skills are a prerequisite for anyone working in finance or beginning a career in the field, as well as risk managers. A thorough grounding in numerical methods is necessary, as is the ability to assess their quality, advantages, and limitations. This book offers a thorough introduction to each method, revealing the numerical traps that practitioners frequently fall into. Each method is referenced with practical, real-world examples in the areas of valuation, risk analysis, and calibration of specific financial instruments and models. It features a strong emphasis on robust schemes for the numerical treatment of problems within computational finance. Methods covered include PDE/PIDE using finite differences or finite elements, fast and stable solvers for sparse grid systems, stabilization and regularization techniques for inverse problems resulting from the calibration of financial models to market data, Monte Carlo and Quasi Monte Carlo techniques for simulating high dimensional systems, and local and global optimization tools to solve the minimization problem.
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Swaps, futures, options, structured instruments - a wide range of derivative products is traded in today's financial markets. Analyzing, pricing and managing such products often requires fairly sophisticated quantitative tools and methods. This book serves as an introduction to financial mathematics with special emphasis on aspects relevant in practice. In addition to numerous illustrative examples, algorithmic implementations are demonstrated using "Mathematica" and the software package "UnRisk" (available for both students and teachers). The content is organized in 15 chapters that can be treated as independent modules. In particular, the exposition is tailored for classroom use in a Bachelor or Master program course, as well as for practitioners who wish to further strengthen their quantitative background.
financiële analyse --- Mathematics --- financieel management --- Operational research. Game theory --- speltheorie --- wiskunde --- Quantitative methods (economics) --- Finance --- Financial analysis --- kennis --- Economics --- Business mathematics --- Mathématiques financières --- EPUB-LIV-FT LIVMATHE LIVSTATI SPRINGER-B --- Mathematics. --- Economic theory. --- Finance. --- Game Theory, Economics, Social and Behav. Sciences. --- Economic Theory/Quantitative Economics/Mathematical Methods. --- Quantitative Finance. --- Funding --- Funds --- Currency question --- Economic theory --- Political economy --- Social sciences --- Economic man --- Math --- Science --- Game theory. --- Economics, Mathematical . --- Mathematical economics --- Econometrics --- Games, Theory of --- Theory of games --- Mathematical models --- Methodology --- -Economics, Mathematical --- -339.42 --- 305.91 --- AA / International- internationaal --- 332.0151 --- Arithmetic, Commercial --- Business --- Business arithmetic --- Business math --- Commercial arithmetic --- Financiële analyse --- Econometrie van de financiële activa. Portfolio allocation en management. CAPM. Bubbles --- -Game theory. --- -Business mathematics --- Economics. --- Economics, Mathematical.
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Swaps, futures, options, structured instruments - a wide range of derivative products is traded in today's financial markets. Analyzing, pricing and managing such products often requires fairly sophisticated quantitative tools and methods. This book serves as an introduction to financial mathematics with special emphasis on aspects relevant in practice. In addition to numerous illustrative examples, algorithmic implementations are demonstrated using "Mathematica" and the software package "UnRisk" (available for both students and teachers). The content is organized in 15 chapters that can be treated as independent modules. In particular, the exposition is tailored for classroom use in a Bachelor or Master program course, as well as for practitioners who wish to further strengthen their quantitative background.
Quantitative methods (economics) --- Finance --- Economics --- Mathematics --- Operational research. Game theory --- Financial analysis --- kennis --- financieel management --- speltheorie --- financiële analyse --- wiskunde
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