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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.
This paper explores insurance as a source of financial system vulnerability. It provides a brief overview of the insurance industry and reviews the risks it faces, as well as several recent failures of insurance companies that had systemic implications. Assimilation of banking-type activities by life insurers appears to be the key systemic vulnerability. Building on this experience and the experience gained under the FSAP, the paper proposes key indicators that should be compiled and used for surveillance of financial soundness of insurance companies and the insurance sector as a whole.
In the 1990s, large insurance companies failed in virtually every major market, prompting a fierce and ongoing debate about how to better protect policyholders. Drawing lessons from the failures of four insurance companies, When Insurers Go Bust dramatically advances this debate by arguing that the current approach to insurance regulation should be replaced with mechanisms that replicate the governance of non-financial firms. Rather than immediately addressing the minutiae of supervision, Guillaume Plantin and Jean-Charles Rochet first identify a fundamental economic rationale for supervising the solvency of insurance companies: policyholders are the "bankers" of insurance companies. But because policyholders are too dispersed to effectively monitor insurers, it might be efficient to delegate monitoring to an institution--a prudential authority. Applying recent developments in corporate finance theory and the economic theory of organizations, the authors describe in practical terms how such authorities could be created and given the incentives to behave exactly like bankers behave toward borrowers, as "tough" claimholders.
This book illustrates the EU-wide Solvency II framework for the insurance industry, which was implemented on January 1, 2016, after a long project phase. Analogous to the system for banks, it is based on three pillars and the authors analyze the complete framework pillar by pillar with a consistent data model for a non-life insurer, which was developed by the Research Group Financial & Actuarial Risk Management (FaRis) at the Institute for Insurance Studies of the TH Köln - University of Applied Sciences. The book leverages the long-standing and close cooperation between the University of Limerick (Ireland) and the Institute for Insurance Studies at TH Köln - University of Applied Sciences (Germany).