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Springer Risk Theory: The Stochastic Basis of Insurance

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Description

Explore the mathematical foundations of insurance with Risk Theory: The Stochastic Basis of Insurance. Published by Springer as part of the Monographs on Statistics and Applied Probability series, this volume provides a deep look into the evolution of risk theory. While classical theory often focused on life insurance mathematics and random fluctuations in individual policies, this work addresses the limitations of those older models. It examines how deviations are discounted to an initial instant and how the square root of the sum of the squares of capital values serves as a measure for portfolio stability. This text is designed for those looking to understand the transition from classical results to more modern stochastic approaches in probability and statistics.

Key Features

Part of the prestigious Monographs on Statistics and Applied Probability series (Volume 20) for academic depth.

Provides a comprehensive review of classical results in risk theory and their historical context.

Examines the relationship between random fluctuations in individual policies and portfolio stability.

Analyzes the mathematical methods used to discount deviations to an initial instant.

Published by Springer to ensure high standards of academic and statistical research.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
03 January 2013
Listed Since
06 August 2014

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