The paper explores the use of accounting standards for insurer solvency assessment in the context of the implementation of IFRS 17. The paper is based on the results of a survey of 20 insurance supervisors. Overall, IFRS 17 is a welcome development but there will be challenges of implementation. Not many insurance supervisors currently intend to use IFRS 17 as a basis for solvency assessment of insurers. Perceived shortcomings can be overcome by supervisors providing clear specifications where the principles-based standard allows a range of approaches. Accounting standards can provide a ready-made valuation framework for supervisors developing new solvency frameworks.

Over the last decade, stress testing has become a central aspect of the Fund’s bilateral and multilateral surveillance work. Recently, more emphasis has also been placed on the role of insurance for financial stability analysis. This paper reviews the current state of system-wide solvency stress tests for insurance based on a comparative review of national practices and the experiences from Fund’s FSAP program with the aim of providing practical guidelines for the coherent and consistent implementation of such exercises. The paper also offers recommendations on improving the current insurance stress testing approaches and presentation of results.

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.

Until now there were no published analyses of the recent solvency work conducted in Europe, specifically the risk categories proposed by the International Actuarial Association (IAA). Answering the insurance industry's demand in the wake of the EU Solvency II project, Solvency: Models, Assessment and Regulation provides a concrete summary and revie

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.