Claims reserving is central to the insurance industry. Insurance liabilities depend on a number of different risk factors which need to be predicted accurately. This prediction of risk factors and outstanding loss liabilities is the core for pricing insurance products, determining the profitability of an insurance company and for considering the financial strength (solvency) of the company. Following several high-profile company insolvencies, regulatory requirements have moved towards a risk-adjusted basis which has lead ... Read More
Claims reserving is central to the insurance industry. Insurance liabilities depend on a number of different risk factors which need to be predicted accurately. This prediction of risk factors and outstanding loss liabilities is the core for pricing insurance products, determining the profitability of an insurance company and for considering the financial strength (solvency) of the company. Following several high-profile company insolvencies, regulatory requirements have moved towards a risk-adjusted basis which has lead to the Solvency II developments. The key focus in the new regime is that financial companies need to analyze adverse developments in their portfolios. Reserving actuaries now have to not only estimate reserves for the outstanding loss liabilities but also to quantify possible shortfalls in these reserves that may lead to potential losses. Such an analysis requires stochastic modeling of loss liability cash flows and it can only be done within a stochastic framework. Therefore stochastic loss liability modeling and quantifying prediction uncertainties has become standard under the new legal framework for the financial industry. This book covers all the mathematical theory and practical guidance needed in order to adhere to these stochastic techniques. Starting with the basic mathematical methods, working right through to the latest developments relevant for practical applications; readers will find out how to estimate total claims reserves while at the same time predicting errors and uncertainty are quantified. Accompanying datasets demonstrate all the techniques, which are easily implemented in a spreadsheet. A practical and essential guide, this book is a must-read in the light of the new solvency requirements for the whole insurance industry. Read Less
Add this copy of Stochastic Claims Reserving Methods in Insurance to cart. $104.04, new condition, Sold by GreatBookPricesUK5 rated 5.0 out of 5 stars, ships from Castle Donington, DERBYSHIRE, UNITED KINGDOM, published 2008 by Wiley.
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New. Sewn binding. Paper over boards. With dust jacket. 448 p. Contains: Unspecified, Tables, black & white, Figures. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
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PLEASE NOTE, WE DO NOT SHIP TO DENMARK. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Please note we cannot offer an expedited shipping service from the UK.
Add this copy of Stochastic Claims Reserving Methods in Insurance to cart. $106.90, new condition, Sold by Ria Christie Books rated 5.0 out of 5 stars, ships from Uxbridge, MIDDLESEX, UNITED KINGDOM, published 2008 by Wiley.
Add this copy of Stochastic Claims Reserving Methods in Insurance to cart. $127.36, like new condition, Sold by GreatBookPricesUK5 rated 5.0 out of 5 stars, ships from Castle Donington, DERBYSHIRE, UNITED KINGDOM, published 2008 by Wiley.
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Fine. Sewn binding. Paper over boards. With dust jacket. 448 p. Contains: Unspecified, Tables, black & white, Figures. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
Add this copy of Stochastic Claims Reserving Methods in Insurance to cart. $139.74, new condition, Sold by Kennys.ie rated 5.0 out of 5 stars, ships from Galway, IRELAND, published 2008 by Wiley.
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New. Covers all the theory and practical advice that actuaries need in order to determine the claims reserves for non-life insurance. Describes all the necessary mathematical methods used to estimate loss reserves and shares the authors' practical experience, which is essential in showing which of the methods should be applied in any given situation. Series: Wiley Finance Series. Num Pages: 438 pages, Illustrations. BIC Classification: KFFN; PBWL. Category: (P) Professional & Vocational. Dimension: 251 x 175 x 29. Weight in Grams: 908. 2008. 1st Edition. Hardcover.....We ship daily from our Bookshop.
Add this copy of Stochastic Claims Reserving Methods in Insurance to cart. $126.44, new condition, Sold by Booksplease rated 4.0 out of 5 stars, ships from Southport, MERSEYSIDE, UNITED KINGDOM, published 2008 by Wiley.
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Good. This is a pre-loved book that shows moderate signs of wear from previous reading. You may notice creases edge wear or a cracked spine but it remains in solid readable condition. Please note: -May include library or rental stickers stamps or markings. -Supplemental materials e.g. CDs access codes inserts are not guaranteed. -Box sets may not come with the original outer box. If it does the box will not be in perfect condition. Your satisfaction is our top priority! If you have any questions or concerns about your order please don't hesitate to reach out. Thank you for shopping with us and supporting small business-happy reading!
Add this copy of Stochastic Claims Reserving Methods in Insurance to cart. $137.83, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2008 by Wiley.
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New. Print on demand Sewn binding. Paper over boards. With dust jacket. 448 p. Contains: Unspecified, Tables, black & white, Figures. Wiley Finance, 436.
