Historically, financial and insurance risks were separate subjects most often analyzed using qualitative methods. The development of quantitative methods based on stochastic analysis is an important achievement of modern financial mathematics, one that can naturally be extended and applied in actuarial mathematics. Risk Analysis in Finance and Insurance offers the first comprehensive and accessible introduction to the ideas, methods, and probabilistic models that have transformed risk management into a quantitative science and led to unified methods for analyzing insurance and finance risks. The author's approach is based on a methodology for estimating the present value of future payments given current financial, insurance, and other information, which leads to proper, practical definitions of the price of a financial contract, the premium for an insurance policy, and the reserve of an insurance company. Self-contained and full of exercises and worked examples, Risk Analysis in Finance and Insurance serves equally well as a text for courses in financial and actuarial mathematics and as a valuable reference for financial analysts and actuaries. Ancillary electronic materials will be available for download from the publisher's Web site.
This edition continues to study risks associated with financial and insurance contracts, using an approach that estimates the value of future payments based on current financial, insurance, and other information.
The first comprehensive volume to address this topic from a financial perspective, this book is a guide to the worst financial risks threatening companies and industries today.
... the standard deviation principle assesses the net premium as follows: Π = E[S] + β √ Var[S] (9.5.9) where β (β > 0) is a given proportion ... We have commented above on some practical implications of the various premium principles.
This interdisciplinary book presents an accessible, thorough introduction to the main ideas, methods and techniques that transform risk management into a quantitative science.
To mitigate the intensity of risks, it is always advisable to manage risks, beforehand. This book explains how to minimize, monitor, and control the probability and impact of unfortunate events, through risk management.
The present volume gives an introduction of basic concepts and methods in mathematical risk analysis, in particular of those parts of risk theory that are of special relevance to finance and insurance.
Created by the experienced author team of Frank Fabozzi and Pamela Peterson Drake, Financial Risk Management examines the essential elements of this discipline and makes them accessible to a wide array of readers-from seasoned veterans ...
This is the definitive guide to managing operational risk in financial institutions.
Exercises are included at the end of the chapters to help reinforce the text and provide insight. This book will serve advanced undergraduate and graduate students, and practitioners in insurance, finance as well as regulators.
In this book, authors Patrick Gagliardini and Christian Gouriéroux provide the first comprehensive overview of the granularity theory and illustrate its usefulness for a variety of problems related to risk analysis, statistical estimation, ...