£119.91

Springer Applied Stochastic Models and Control for Finance

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Description

Master the fundamentals of uncertainty and risk with Applied Stochastic Models and Control for Finance and Insurance. Published by Springer, this book provides an introductory look at essential stochastic models used within the fields of economics, finance, and insurance. By exploring mathematical tools such as Markov chains, random walks, and stochastic differential equations, readers gain a systematic understanding of how stochastic processes apply to real-world economic and financial scenarios. The text moves from foundational problems involving time and risk into practical applications, making it a valuable resource for those studying econometrics and financial modeling. To support decision-making, the book also incorporates a dynamic programming framework to address basic optimization problems. Whether you are studying the mechanics of insurance or the complexities of financial markets, this text offers a clear path to understanding the mathematical models that drive these industries.

Key Features

Provides an introductory level overview of essential stochastic models used in economics, finance, and insurance.

Covers key mathematical processes including Markov chains, random walks, and stochastic differential equations.

Applies stochastic processes systematically to various economic and financial applications.

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

Starts with foundational concepts regarding time, uncertainty, and risk in financial environments.

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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