Freshly Printed - allow 10 days lead
Couldn't load pickup availability
Ruin Probabilities
Smoothness, Bounds, Supermartingale Approach
Presents different continuous-time risk models for this branch of insurance mathematics
Yuliya Mishura (Author), Olena Ragulina (Author)
9781785482182, Elsevier Science
Hardback, published 10 October 2016
276 pages
22.9 x 15.1 x 2.2 cm, 0.41 kg
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.
Part 1: Smoothness of the Survival Probabilities with Applications 1: Classical Results on the Ruin Probabilities 2: Classical Risk Model with Investments in a Risk-Free Asset 3: Risk Model with Stochastic Premiums Investments in a Risk-Free Asset 4: Classical Risk Model with a Franchise and a Liability Limit 5: Optimal Control by the Franchise and Deductible Amounts in the Classical Risk Model 6: Risk Models with Investments in Risk-Free and Risky Assets Part 2: Supermartingale Approach to the Estimation of Ruin Probabilities 7: Risk Model with Variable Premium Intensity and Investments in One Risky Asset 8: Risk Model with Variable Premium Intensity and Investments in One Risky Asset up to the Stopping Time of Investment Activity 9: Risk Model with Variable Premium Intensity and Investments in One Risk-Free and a Few Risky Assets
Subject Areas: Stochastics [PBWL]
