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Springer Applied Stochastic Models and Control for Finance

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Description

Applied Stochastic Models and Control for Finance and Insurance provides an introductory look at essential stochastic models used in economics, finance, and insurance. This textbook is designed to help readers understand how to apply mathematical processes to real-world economic and financial scenarios. Throughout the text, you will explore Markov chains, random walks, and stochastic differential equations. These processes are systematically applied to various economic and financial applications to provide a clear understanding of how uncertainty affects these sectors. Additionally, the book utilizes a dynamic programming framework to address basic optimization problems. By starting with problems involving time, uncertainty, and risk, this Springer publication serves as a foundational resource for students and professionals looking to master the application of stochastic models in the business and finance sectors.

Key Features

Covers essential stochastic models including Markov chains and random walks for practical use in economics and finance.

Explains stochastic differential equations and other processes through systematic application to financial scenarios.

Includes a dynamic programming framework to help solve and manage basic optimization problems.

Designed at an introductory level to make complex stochastic modeling accessible for learners.

Focuses on real-world applications involving time, uncertainty, and risk within the insurance and finance industries.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
07 November 2012
Listed Since
03 March 2013

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