This book explores theoretical and practical implications of reflecting the fair value of liabilities for insurance companies. In addition, the contributions discuss the disclosure of these values to the financial and regulatory communities and auditing firms which are actually calculating this illusive but important variable. It combines contributions by distinguished practitioners from the insurance, accounting and finance fields, with those of prominent academics. One of the central themes of the collection is that adequate disclosure of the true economic value of insurance company liabilities is both possible and desirable. Wherever possible, the insurance valuation process is wedded with modern financial theory. For example, the use of option pricing theory is applied to insurance companies, where the true value of the firm's liabilities is a critical variable. Methods such as cash flow, earned profit and indirect discount are explored.

This new, innovative textbook, a sequel to US Tax Reserves for Life Insurers published in 2005, provides authoritative guidance and mathematical approaches to calculating both actuarial tax basis liabilities (reserves and related items) and assets (primarily invested assets and deferred taxes). The text provides an introduction to statutory and tax reserve planning and includes a detailed discussion of the pertinent parts of the authoritative guidance, including extensive references to specific cases and rulings. This sequel provides significant detail on investment tax accounting and offers an introduction to tax aspects of business combinations.

"Life, Health, & Annuity Reinsurance addresses the many issues and considerations involved in reinsurance for life, health and annuity companies. Although written by actuaries, it may be read by anyone interested in the topic and does not require an actuarial background"--

Quantitative models are omnipresent –but often controversially discussed– in todays risk management practice. New regulations, innovative financial products, and advances in valuation techniques provide a continuous flow of challenging problems for financial engineers and risk managers alike. Designing a sound stochastic model requires finding a careful balance between parsimonious model assumptions, mathematical viability, and interpretability of the output. Moreover, data requirements and the end-user training are to be considered as well. The KPMG Center of Excellence in Risk Management conference Risk Management Reloaded and this proceedings volume contribute to bridging the gap between academia –providing methodological advances– and practice –having a firm understanding of the economic conditions in which a given model is used. Discussed fields of application range from asset management, credit risk, and energy to risk management issues in insurance. Methodologically, dependence modeling, multiple-curve interest rate-models, and model risk are addressed. Finally, regulatory developments and possible limits of mathematical modeling are discussed.

This Technical Note discusses key findings of stress testing on the United States under the Financial Sector Assessment Program. Several stress tests were used to quantify the potential impacts of risks and vulnerabilities in banking and non-banking sectors. The stress tests run by the authorities and by companies under the Dodd-Frank Act (DFA) suggest that most large bank holding companies (BHCs) are resilient to shocks similar to the last crisis. For BHCs, the IMF staff’s solvency stress tests over the initial stressed period are largely in line with the DFA stress testing results, and suggest that the system is generally robust, although some BHCs would fall below the hurdle rate in the stressed environment.