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Springer Applied Stochastic Models and Control for Finance and Insurance

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Description

Applied Stochastic Models and Control for Finance and Insurance introduces essential stochastic models used in economics, finance and insurance at an accessible level. The book systematically applies Markov chains, random walks, stochastic differential equations and other stochastic processes to real-world economic and financial problems. Using a dynamic programming framework, it addresses fundamental optimisation challenges whilst exploring problems involving time, uncertainty and risk. This comprehensive resource bridges theory and practice, making advanced stochastic methods understandable for students and professionals seeking to apply mathematical models to investment strategies, financial planning and insurance calculations.

Key Features

Covers fundamental stochastic processes including Markov chains, random walks and stochastic differential equations with practical applications throughout.

Uses dynamic programming framework to solve optimisation problems relevant to finance and insurance decision-making.

Addresses economics, finance and insurance problems involving time, uncertainty and risk management.

Presents stochastic models at an introductory level, making advanced concepts accessible to students new to the subject.

Published by Springer, offering peer-reviewed academic content for professional finance and insurance applications.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
30 April 1998
Listed Since
15 February 2007

Barcode

No barcode data available

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