Handbook on Loss Reserving

Business & Finance, Industries & Professions, Insurance, Nonfiction, Science & Nature, Mathematics, Statistics
Cover of the book Handbook on Loss Reserving by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319300566
Publisher: Springer International Publishing Publication: October 26, 2016
Imprint: Springer Language: English
Author:
ISBN: 9783319300566
Publisher: Springer International Publishing
Publication: October 26, 2016
Imprint: Springer
Language: English

This handbook presents the basic aspects of actuarial loss reserving. Besides the traditional methods, it also includes a description of more recent ones and a discussion of certain problems occurring in actuarial practice, like inflation, scarce data, large claims, slow loss development, the use of market statistics, the need for simulation techniques and the task of calculating best estimates and ranges of future losses.

In property and casualty insurance the provisions for payment obligations from losses that have occurred but have not yet been settled usually constitute the largest item on the liabilities side of an insurer's balance sheet. For this reason, the determination and evaluation of these loss reserves is of considerable economic importance for every property and casualty insurer. 

Actuarial students, academics as well as practicing actuaries will benefit from this overview of the most important actuarial methods of loss reserving by developing an understanding of the underlying stochastic models and how to practically solve some problems which may occur in actuarial practice.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This handbook presents the basic aspects of actuarial loss reserving. Besides the traditional methods, it also includes a description of more recent ones and a discussion of certain problems occurring in actuarial practice, like inflation, scarce data, large claims, slow loss development, the use of market statistics, the need for simulation techniques and the task of calculating best estimates and ranges of future losses.

In property and casualty insurance the provisions for payment obligations from losses that have occurred but have not yet been settled usually constitute the largest item on the liabilities side of an insurer's balance sheet. For this reason, the determination and evaluation of these loss reserves is of considerable economic importance for every property and casualty insurer. 

Actuarial students, academics as well as practicing actuaries will benefit from this overview of the most important actuarial methods of loss reserving by developing an understanding of the underlying stochastic models and how to practically solve some problems which may occur in actuarial practice.

More books from Springer International Publishing

Cover of the book A Short History of Copyright by
Cover of the book SOFSEM 2018: Theory and Practice of Computer Science by
Cover of the book Programming Languages and Systems by
Cover of the book The Semantic Web – ISWC 2016 by
Cover of the book Design of Structural Elements with Tropical Hardwoods by
Cover of the book Bioinformatics and Biomedical Engineering by
Cover of the book Teaching Professional Attitudes and Basic Clinical Skills to Medical Students by
Cover of the book Sustainable Energy in the Built Environment - Steps Towards nZEB by
Cover of the book Trajectory Anomalies in Interplanetary Spacecraft by
Cover of the book Data and Applications Security and Privacy XXXIII by
Cover of the book Drugs, Gangs, and Violence by
Cover of the book Functional Nanostructures Fabricated by Focused Electron/Ion Beam Induced Deposition by
Cover of the book Hybrid Systems Biology by
Cover of the book Game Theoretic Analysis of Congestion, Safety and Security by
Cover of the book Multidimensional Views on Enterprise Information Systems by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy