Ruin Probabilities - Smoothness, Bounds, Supermartingale Approach (Hardcover)

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Ruin Probabilities: Smoothness, Bounds, Supermartingale Approach deals with continuous-time risk models and covers several aspects of risk theory. The first of them is the smoothness of the survival probabilities. In particular, the book provides a detailed investigation of the continuity and differentiability of the infinite-horizon and finite-horizon survival probabilities for different risk models. Next, it gives some possible applications of the results concerning the smoothness of the survival probabilities. Additionally, the book introduces the supermartingale approach, which generalizes the martingale one introduced by Gerber, to get upper exponential bounds for the infinite-horizon ruin probabilities in some generalizations of the classical risk model with risky investments.

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Product Description

Ruin Probabilities: Smoothness, Bounds, Supermartingale Approach deals with continuous-time risk models and covers several aspects of risk theory. The first of them is the smoothness of the survival probabilities. In particular, the book provides a detailed investigation of the continuity and differentiability of the infinite-horizon and finite-horizon survival probabilities for different risk models. Next, it gives some possible applications of the results concerning the smoothness of the survival probabilities. Additionally, the book introduces the supermartingale approach, which generalizes the martingale one introduced by Gerber, to get upper exponential bounds for the infinite-horizon ruin probabilities in some generalizations of the classical risk model with risky investments.

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Product Details

General

Imprint

ISTE Press Ltd - Elsevier Inc

Country of origin

United Kingdom

Release date

October 2016

Availability

Expected to ship within 12 - 17 working days

First published

2017

Authors

,

Dimensions

229 x 152 x 19mm (L x W x T)

Format

Hardcover

Pages

276

ISBN-13

978-1-78548-218-2

Barcode

9781785482182

Categories

LSN

1-78548-218-1



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