9783642432965 - Financial Modeling, Actuarial Valuation and Solvency in Insurance (Springer Finance) von Wüthrich, Mario V. V.; Merz, Michael (5 Ergebnisse)

Zustand: New. In.

Zustand: New.

Paperback. Zustand: Brand New. 2013 edition. 448 pages. 9.25x6.10x1.06 inches. In Stock.

Taschenbuch. Zustand: Neu. Financial Modeling, Actuarial Valuation and Solvency in Insurance | Mario V. Wüthrich (u. a.) | Taschenbuch | xiv | Englisch | 2015 | Springer | EAN 9783642432965 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Risk management for financial institutions is one of the key topics the financial industry has to deal with. The present volume is a mathematically rigorous text on solvency modeling. Currently, there are many new developments in this area in the financial and insurance industry (Basel III and Solvency II), but none of these developments provides a fully consistent and comprehensive framework for the analysis of solvency questions. Merz and Wüthrich combine ideas from financial mathematics (no-arbitrage theory, equivalent martingale measure), actuarial sciences (insurance claims modeling, cash flow valuation) and economic theory (risk aversion, probability distortion) to provide a fully consistent framework. Within this framework they then study solvency questions in incomplete markets, analyze hedging risks, and study asset-and-liability management questions, as well as issues like the limited liability options, dividend to shareholder questions, the role of re-insurance, etc. This work embeds the solvency discussion (and long-term liabilities) into a scientific framework and is intended for researchers as well as practitioners in the financial and actuarial industry, especially those in charge of internal risk management systems. Readers should have a good background in probability theory and statistics, and should be familiar with popular distributions, stochastic processes, martingales, etc.