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.
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.
Insurance companies, as well as banks and thrift institutions, have traditionally reported assets and liabilities on the basis of their amortized cost, or book value. But following the turmoil in securities markets due to highly volatile interest rate fluctuations in the 1980s and the early 1990s, and problems caused by inadequate liquidity, in the mid-1990s the Financial Accounting Standards Board (FASB) issued a new ruling calling for financial intermediaries to report the fair, or market, value of most assets. Called FAS 115, this new standard is the first step in the eventual change to valuing all the assets and liabilities belonging to financial intermediaries under the fair value accounting method. Thus, these changes will pose tremendous future implications for three key business measures of a financial intermediary: Solvency: if the fair values of assets and liabilities are out-of-step, then healthy companies may report negative net worth and insolvent companies may appear to be in sound financial condition. Reported Earnings: if the fair values of assets and liabilities are out of step, then reported earnings will not accurately represent the financial operations of the company. Risk Management: FASB recently postponed the implementation of its new rules on accounting for the use of derivatives instruments. However, if the final set of rules for figuring the fair value of derivatives is not carefully crafted, it may be possible that companies prudently hedging their risks are subject to penalties in their financial reports, while companies taking greater risks appear to have less volatile financial performance. Compared to banks and other financial intermediaries, life insurance companies have the longest term and most complex liabilities, and hence the new FASB requirement poses the most severe challenges to the life insurance industry. The lessons learned from the debate among life insurance academics and professionals about how respond to the fair value reporting rule will be instructive to their counterparts in other sectors of the insurance industry, as well as those involved with other financial institutions. Of particular note are the two papers which comprise Part III. The first provides examples of the fair valuing of annuity contracts, while the second offers examples of the fair valuing of term insurance products. As the papers collected in The Fair Value of Insurance Business extend and update some of the issues treated in a previous Salomon Center conference volume, The Fair Value of Insurance Liabilities, this new volume may be viewed as a companion to the earlier book.
The essential premise of this book is that theory and practice are equally important in describing financial modeling. In it the authors try to strike a balance in their discussions between theories that provide foundations for financial models and the institutional details that provide the context for applications of the models. The book presents the financial models of stock and bond options, exotic options, investment grade and high-yield bonds, convertible bonds, mortgage-backed securities, liabilities of financial institutions--the business model and the corporate model. It also describes the applications of the models to corporate finance. Furthermore, it relates the models to financial statements, risk management for an enterprise, and asset/liability management with illiquid instruments. The financial models are progressively presented from option pricing in the securities markets to firm valuation in corporate finance, following a format to emphasize the three aspects of a model: the set of assumptions, the model specification, and the model applications. Generally, financial modeling books segment the world of finance as "investments," "financial institutions," "corporate finance," and "securities analysis," and in so doing they rarely emphasize the relationships between the subjects. This unique book successfully ties the thought processes and applications of the financial models together and describes them as one process that provides business solutions. Created as a companion website to the book readers can visit www.thomasho.com to gain deeper understanding of the book's financial models. Interested readers can build and test the models described in the book using Excel, and they can submit their models to the site. Readers can also use the site's forum to discuss the models and can browse server based models to gain insights into the applications of the models. For those using the book in meetings or class settings the site provides Power Point descriptions of the chapters. Students can use available question banks on the chapters for studying.
