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State-Space Models

Finance. The third part deals with Hidden Markov Models, Regime Switching and Mathematical Finance and the fourth part is on Nonlinear State-Space;

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State-Space Models

Finance. The third part deals with Hidden Markov Models, Regime Switching and Mathematical Finance and the fourth part is on Nonlinear State-Space;

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Recent Advances in Estimating Nonlinear Models

Nonlinear models have been used extensively in the areas of economics and finance. Recent literature on the topic has shown that a large;

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Mathematical Models in Finance

in the standard analyses. Examples include market anomalies and nonlinear coupling effects, and demand new synthesis of mathematical and;

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Quantum Field Theory for Economics and Finance

An introduction to how the mathematical tools from quantum field theory can be applied to economics and finance, providing a wide range;

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Novel Methods in Computational Finance

schemes for solving linear and nonlinear problems arising from the mathematical theory of pricing financial derivatives and related financial;

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Mathematics Of The Bond Market A Levy P

Mathematical models of bond markets are of interest to researchers working in applied mathematics, especially in mathematical finance. This;

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Nonlinear Models in Mathematical Finance

This book provides an overview on the current state-of-the-art research on non-linear option pricing;...

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Nonlinear Mathematics for Uncertainty and its Applications

This volume is a collection of papers presented at the international conference on Nonlinear Mathematics for Uncertainty and Its;

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Applied Diffusion Processes from Engineering to Finance

to the different problems presented in the book. Advanced topics such as nonlinear problems, Levy processes and semi-Markov models;

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Measure, Probability, and Mathematical Finance

An introduction to the mathematical theory and financial models developed and used on Wall Street Providing both a theoretical and;

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Mathematical Modelling and Numerical Methods in Finance

Mathematical finance is a prolific scientific domain in which there exists a particular characteristic of developing both advanced theories;

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Quantitative Equity Portfolio Management

in a systematic and mathematical framework that is suitable for quantitative investment students. Providing a solid foundation in the subject;

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Nonlinear Option Pricing

mathematical tools rather than specific financial questions so that readers can easily use the tools to solve their own nonlinear problems. The authors;

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Nonlinear Economic Models Crosssectional, Time Series and Neural Network Applications

Nonlinear modelling has become increasingly important and widely used in economics. This valuable book brings together recent advances;

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Complex and Chaotic Nonlinear Dynamics

many different disciplines who are interested in the nonlinear field. An appendix recapitulates the basic mathematical concepts required to use;

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Adjoint Equations and Perturbation Algorithms in Nonlinear Problems

possibilities in construction and application of adjoint equations to nonlinear problems of mathematical physics.;

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Adjoint Equations and Perturbation Algorithms in Nonlinear Problems

possibilities in construction and application of adjoint equations to nonlinear problems of mathematical physics.;

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Statistics And Finance

Kong in July 1999. Topics covered include heavy-tailed and nonlinear continuous-time ARMA models for financial time series, and forecast;

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Handbook of Differential Equations: Ordinary Differential Equations

nonlinear equations are focused on. This reflects the situation in modern mathematical modelling - nonlinear mathematical models are more realistic;

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Mathematical Finance Theory Review and Exercises

The book collects over 120 exercises on different subjects of Mathematical Finance, including Option Pricing, Risk Theory, and Interest;

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Nonlinear Interval Optimization for Uncertain Problems

This book systematically discusses nonlinear interval optimization design theory and methods. Firstly, adopting a mathematical programming;

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Computing in Nonlinear Media and Automata Collectives

Computing in Nonlinear Media and Automata Collectives presents an account of new ways to design massively parallel computing devices;

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Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming

most widely used mathematical models in operations research and management science at the time of this writing. Modelers have, however, found;

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Mathematical Systems

Mathematical systems are models of analysis and measurement of dynamic variables for applications in natural sciences and engineering;

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Mathematical Finance

A balanced introduction to the theoretical foundations and real-world applications of mathematical finance The ever-growing use;

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Computational Finance

real-world challenges. Indeed, many models used in practice involve complex mathematical problems, for which an exact or a closed-form solution;

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