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Springer Non-cooperative Stochastic Differential Game Theory - Springer

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Description

This comprehensive research volume explores stochastic non-cooperative differential game theory applied to generalized linear Markov jump systems, with practical applications in finance and insurance sectors. The book establishes a complete framework for dynamic non-cooperative differential game theory through both continuous time and discrete time linear quadratic stochastic differential game analysis. Using dynamic programming principles and Riccati equation methods, it derives existence conditions and computational strategies for equilibrium approaches. Designed for researchers and professionals in quantitative finance, risk management, and advanced systems theory, this text provides systematic treatment of game-theoretic approaches to complex stochastic systems and decision-making under uncertainty.

Key Features

Springer publication offers rigorous academic treatment of non-cooperative stochastic differential game theory for advanced study and professional reference.

Covers both continuous and discrete time linear quadratic stochastic differential games within a unified theoretical framework.

Applies dynamic programming principles and Riccati equation methods to derive equilibrium strategies for generalized Markov jump linear systems.

Addresses practical applications in finance and insurance, bridging theoretical game theory with real-world quantitative decision-making problems.

Systematically develops existence conditions and computational methods for non-cooperative game equilibria in stochastic environments.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
14 June 2018
Listed Since
14 June 2018

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