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Computational Methods for Risk Management in Economics and Finance

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Mathematical Modelling and Numerical Methods in Finance

in the field: mathematical models, computational methods, and applications, and provides a solid overview of major new ideas and results in the;

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Numerical Methods and Optimization in Finance

allocation to risk management and from option pricing to model calibration-can be efficiently handled using modern computational techniques;

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Tools for Computational Finance

Computational and numerical methods are used in a number of ways across the field of finance. It is the aim of this book to explain how;

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Recent Advances in Computational Finance

As it stands today, the spectrum of methods, tools, and applications that populate the area of computational finance is literally vast;

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A Workout in Computational Finance

A comprehensive introduction to various numerical methods used in computational finance today Quantitative skills are a prerequisite for;

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Computational Data Analysis Techniques in Economics & Finance

practitioners in economics and finance. Computational data analysis techniques can contribute significantly within this context, by providing a rigorous;

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Risk and Financial Management

and financial risk managers across various industries. Risk and Financial Management: Mathematical and Computational Methods confronts the;

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Computational Science

Computational science is a multidisciplinary field that applies computer simulation and advanced computation to develop solutions for;

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Physics and Finance

, they acquire a number of useful mathematical and computational tools, such as stochastic differential equations, path integrals, Monte-Carlo;

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Physics and Finance

, they acquire a number of useful mathematical and computational tools, such as stochastic differential equations, path integrals, Monte-Carlo;

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Computational Methods for Quantitative Finance: Finite Element Methods for Derivative Pricing

unified, non-Monte-Carlo computational pricing methodology is capable of handling rather general classes of stochastic market models with jumps;

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Numerical Methods in Computational Finance

approximation by the finite difference method and applications to computational finance. The book is structured so that it can be read by beginners;

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Computational Methods in Financial Engineering

Computational models and methods are central to the analysis of economic and financial decisions. Simulation and optimisation are widely;

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Numerical Analysis and Its Applications

Computational Geometry; Numerical Linear Algebra and Numer-ical Solution of Transcendental Equations; Numerical Methods for Differential Equations; High;

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Computational Finance

Computational finance is increasingly important in the financial industry, as a necessary instrument for applying theoretical models to;

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Computational Finance

Computational finance is increasingly important in the financial industry, as a necessary instrument for applying theoretical models to;

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Computational Methods in Applied Science & Engineering

Computational and applied methods in science and engineering is an emerging and promising discipline in shaping future research and;

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Computational Methods in Finance

now require robust techniques for numerical analysis. Covering advanced quantitative techniques, Computational Methods in Finance explains how;

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Numerical Methods In Finance And Economics

financial theory and computational practice while showing readers how to utilize MATLAB?--the powerful numerical computing environment--for;

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Financial Instrument Pricing Using C++

An integrated guide to C++ and computational finance This complete guide to C++ and computational finance is a follow-up and major;

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Recent Progress in Computational Sciences and Engineering (2 vols)

This volume brings together selected contributed papers presented at the International Conference of Computational Methods in Science and;

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Stochastic Analysis for Finance with Simulations

This book is an introduction to stochastic analysis and quantitative finance; it includes both theoretical and computational methods;

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Time Series in Economics and Finance

researchers, students and practitioners interested in time series, and can also be used for university courses on econometrics or computational;

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Time Series in Economics and Finance

researchers, students and practitioners interested in time series, and can also be used for university courses on econometrics or computational;

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Novel Methods in Computational Finance

This book discusses the state-of-the-art and open problems in computational finance. It presents a collection of research outcomes and;

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Quantitative Methods in Derivatives Pricing

abundance of practical examples and case studies. Intended primarily as an introductory graduate textbook in computational finance, this book will;

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