The effect of industry consolidation and deposit insurance reform on the resiliency of the U.S. bank insurance fund

We examine the effects of structural change in the U.S. banking industry, as well as key regulatory changes, including recently enacted deposit insurance reform legislation, on the resiliency of the FDIC-administered bank insurance fund (BIF) by estimating and comparing the probability of BIF insolvency over time. We do this using a Markov-switching model that relies on historical patterns of BIF disbursements to define the probability of switching among three “states” of the banking industry's financial health. Monte Carlo simulations are then performed to project the financial condition of the BIF over a 50-year period. Our results indicate that the insolvency risk to the bank insurance fund has increased significantly due to industry consolidation, and is mainly due to the concentration of deposits in the 10 largest U.S. banking companies. We also find that recent deposit insurance reforms will cause only a marginal reduction in the risk of BIF insolvency. The increased risk associated with a more concentrated industry structure simply dominates the reform effect.     

Analysing the determinants of insolvency risk for general insurance firms in the UK

This paper estimates a reduced-form model to assess the insolvency risk of General Insurance (GI) firms in the UK. In comparison to earlier studies, it uses a much larger sample including 30 years of data for 515 firms, and also considers a much wider set of possible determinants of insolvency risk. The empirical results suggest that macroeconomic and firm-specific factors both play important roles. Other key findings are the following: insolvency risk varies across firms depending on their business lines; there is default clustering in the GI industry; different reinsurance levels also affect the insolvency risk of insurance firms. The implications of these findings for regulators of GI firms under the newly launched Solvency II are discussed.     

An empirical study of the usefulness of accounting ratios to describe levels of insolvency risk

This study aims to explore the usefulness of accounting ratios to describe levels of insolvency risk. Previous studies have used the statistical technique of discriminant analysis to derive models for preducting whether a firm will or will not fail. This study will use the same statistical technique but with three differences (a) the ratios to be used in the discriminant analysis are selected by a method which ensures that no arbitrary limit is placed on their number, (b) because the significance of accounting ratios can vary from industry to industry, four industries are separately analysed; manufacturing, retail, property and finance, (c) the statistical probabilities yielded by the analysis are used to measure a firm's current level of insolvency risk. The study is concluded by interpreting the characteristic patterns of insolvency risk which emerge; an analysis of the factors causing the differences in these patterns throws new light on the causes, symptoms, and remedies of financial distress     

Empirical Evidence on the Value of Group‐Level Financial Information in Insurer Solvency Surveillance

The existing empirical research on insurer insolvency relies almost exclusively upon individual insurance company financial data, even though the insurance industry is dominated by group‐affiliated firms. This is the first study to evaluate the benefit of using group‐level data to predict insurer insolvencies for group‐affiliated insurers. The study uses financial ratios from the NAIC FAST scoring system, measured at both the company level and group level, as potential predictor variables. The results indicate that group‐level financial information substantially improves the predictive power of an insolvency prediction model relative to a model that uses only the analogous company‐level variables. In fact, the group‐level variables are found to often be substantially more powerful than company‐level variables in predicting individual insurer insolvencies. These results suggest that future insolvency analysis should, whenever feasible, include group‐level information to obtain higher predictive accuracy.     

Financing structure and insolvency risk exposure of Islamic banks

This study analyzes the impact of financing structure on Islamic banks’ insolvency risk exposure. By analyzing four models, we find that an increase in real estate financing decreases insolvency risk; however, an increasing concentration of financing structure increases insolvency risk. We discover that increasing the stability of the financing structure reduces risk in the short term, but not in the medium term. Interestingly, our findings show that the level of insolvency risk exposure during the 1997 Asian financial crisis was lower than it was for the overall period, whereas it is higher than the overall average in the ongoing global economic crisis. Thus, regulatory bodies, policymakers, and market players in the Islamic banking industry should take appropriate action to in manage the insolvency risk of Islamic banks.     

Insurance Market Effects of Risk Management Metrics

We extend the classical analysis on optimal insurance design to the case when the insurer implements regulatory requirements (Value-at-Risk). Presumably, regulators impose some risk management requirement such as VaR to reduce the insurers’ insolvency risk, as well as to improve the insurance market stability. We show that VaR requirements may better protect the insured and improve economic efficiency, but have stringent negative effects on the insurance market. Our analysis reveals that the insured are better protected in the event of greater loss irrespective of the optimal design from either the insured or the insurer perspective. However, in the presence of the VaR requirement on the insurer, the insurer's insolvency risk might be increased and there are moral hazard issues in the insurance market because the optimal contract is discontinuous.     

The Role of RBC,Hurricane Exposure,Bond Portfolio Duration,and Macroeconomic and Industry‐wide Factors in Property–Liability Insolvency Prediction

This research analyzes the performance of the risk‐based capital (RBC) ratio and other variables in predicting insolvencies in the property–liability insurance industry during the period 1994–2008. The results indicate that the accuracy of the RBC ratio in predicting insolvencies is inconsistent over time and that some previously tested financial ratios that are part of the FAST system do not always reliably predict insurer insolvency. In addition, the insolvency propensity is found to be significantly related to an insurer's hurricane prone area exposure, changes in interest rates, the industry‐wide combined ratio, and the industry‐wide Herfindahl index of premiums written.     

The Risk‐Sharing Implications of Disaster Insurance Funds

We study the risk‐sharing implications that arise from introducing a disaster insurance fund to the cat insurance market. Such a form of intervention can increase efficiency in the private market, and our design of disaster insurance suggests a prominent role of catastrophe reinsurance. The model predicts buyers will increase their demand in the private market, and the seller will lower prices to such an extent that their revenues decrease upon introduction of disaster insurance. We test two predictions in the context of the Terrorism Risk Insurance Act (TRIA). It is already known that the introduction of TRIA led to negative abnormal returns in the insurance industry. In addition, we show this negative effect is stronger for larger and for low‐risk‐averse firms—two results that are consistent with our model. The seller’s risk aversion plays an important role in quantifying such feedback effects, and we point toward possible distortions in which a firm may even be overhedged upon introduction of disaster insurance.     

Ökonomische Analyse der Regulierung von Sicherungseinrichtungen

In 2003, the German insurance industry faced the first life insurer insolvency for nearly 75 years. Although the crisis was overcome by transferring the insurance contracts to ‘Protektor’, a guarantee institution based on the industry’s self-regulation, the German government set off a judicial initiative on insurance guarantee schemes. However, a thorough economic analysis shows that the underlying rationale for this regulation fails to prove its efficiency — while the same goes for the soundness of the analogy to German deposit insurance structures. In contrast, the economic theory of regulation provides a profound explanation of legislative activity on the one hand, and emphasizes the danger of political misjudgement on the other. Considering the danger of political pretence of knowledge, a prioritization of market-driven solutions (self-regulation) is recommended, while keeping government regulation of insurance guarantee schemes to a minimum.     

Testing the risk as feeling and risk as analysis perspective for insurance: the antecedents of purchasing unit-linked life insurance products

Risk and uncertainty are critical to human decision-making. Yet our understanding of the underlying traits that present the foundation of decision-making remains limited. The work develops a causal model of the antecedents of consumers’ purchase behavior in the context of unit-linked life insurance products. Our experimental approach (n?=?929) builds on the risk as analysis and risk as feeling perspective, which entails huge theoretical and practical contributions. Risk avoidance and uncertainty avoidance are identified to strongly influence the product perceptions. We complement our findings by investigating the conditions that favor the influence of both traits by investigating moderating effects.     

To Hedge or Not to Hedge: Managing Demographic Risk in Life Insurance Companies

Demographic risk, i.e., the risk that life tables change in a nondeterministic way, is a serious threat to the financial stability of an insurance company having underwritten life insurance and annuity business. The inverse influence of changes in mortality laws on the market value of life insurance and annuity liabilities creates natural hedging opportunities. Within a realistically calibrated shareholder value (SHV) maximization framework, we analyze the implications of demographic risk on the optimal risk management mix (equity capital, asset allocation, and product policy) for a limited liability insurance company operating in a market with insolvency‐averse insurance buyers. Our results show that the utilization of natural hedging is optimal only if equity is scarce. Otherwise, hedging can even destroy SHV. A sensitivity analysis shows that a misspecification of demographic risk has severe consequences for both the insurer and the insured. This result highlights the importance of further research in the field of demographic risk.     

Stealing Deposits: Deposit Insurance,Risk‐Taking,and the Removal of Market Discipline in Early 20th‐Century Banks

Deposit insurance reduces liquidity risk but can increase insolvency risk by encouraging reckless behavior. Several U.S. states installed deposit insurance laws before the creation of the Federal Deposit Insurance Corporation, and those laws applied only to some depository institutions within those states. These experiments present a unique testing ground for investigating the effect of deposit insurance. We show that deposit insurance removed market discipline constraining uninsured banks. Taking advantage of World War I's rise in world agricultural prices, insured banks increased their insolvency risk and competed aggressively for deposits. When prices fell after the war, the insurance systems collapsed and suffered high losses.     

A Comparison of Neural Network, Statistical Methods, and Variable Choice for Life Insurers' Financial Distress Prediction

This study examines the effect of the statistical/mathematical model selected and the variable set considered on the ability to identify financially troubled life insurers. Models considered are two artificial neural network methods (back‐propagation and learning vector quantization (LVQ)) and two more standard statistical methods (multiple discriminant analysis and logistic regression analysis). The variable sets considered are the insurance regulatory information system (IRIS) variables, the financial analysis solvency tracking (FAST) variables, and Texas early warning information system (EWIS) variables, and a data set consisting of twenty‐two variables selected by us in conjunction with the research staff at TDI and a review of the insolvency prediction literature. The results show that the back‐propagation (BP) and LVQ outperform the traditional statistical approaches for all four variable sets with a consistent superiority across the two different evaluation criteria (total misclassification cost and resubstitution risk criteria), and that the twenty‐two variables and the Texas EWIS variable sets are more efficient than the IRIS and the FAST variable sets for identification of financially troubled life insurers in most comparisons.     

Optimal annuitization with imperfect information about insolvency risk

Even the highest‐rated life‐annuity providers have a nonzero probability of becoming insolvent during an annuitant's retirement, and many potential annuitants are unaware of the state guaranty associations (SGAs) which provide insurance against the associated financial consequences. We study the theoretical implications of insolvency risk—real and perceived—for annuitization. Then, using a disciplined calibration of annuitant misperceptions in a standard life cycle model, we show that even the modest perceived risk of default associated with highly‐rated providers can—absent awareness of the SGAs—reduce annuitization and significantly reduce welfare. We further consider the implications of information frictions which prevent retirees from discerning true insolvency risk and we find that these frictions have plausibly large additional quantitative implications for annuitization and welfare. Simulations of our model further suggest that the general lack of awareness of the SGA backstop by potential annuitants can erode a sizable fraction of the potential welfare benefits thereof.     

Genetic Testing,Insurance Economics,and Societal Responsibility

Three major perspectives emerge when the discussion of the implications of genetic testing on the insurance industry commences. One viewpoint, strongly advocated by certain consumer groups and ethicists on the basis of societal responsibility, categorically denies any necessity for connecting the results of genetic testing and issuance of insurance. By contrast, the insurance industry, upon examining the economics and dynamics of participation in voluntary insurance markets, lives in fear of a world filled with asymmetrical information (counter to the axioms for competitive markets), adverse selection (action by the insured as a result of asymmetric information to the perceived economic disadvantage of the insurer), and ultimately even the possibility of potential market failure or insurance company insolvency. An actuarial perspective considering the benefits (to the insurer) of this new genetic information concentrates primarily on the possibility of developing improved quantitative assessments of risk and better calculations of the actuarial present value of future loss costs based on the new statistically significant information gained from genetic testing. The strengths and weaknesses and facts and fallacies of each of these perspectives are examined in this paper, and potential solutions to the ultimate role of genetic testing in insurance underwriting and rate making are considered from the perspectives of the major players in this debate.     

The Cost of Deposit Insurance for Privately Held Banks: A Market Comparable Approach

Previous empirical studies that use an option pricing model to estimate deposit insurance costs have been limited to banks that issue publicly traded securities: a bank's security prices are used to infer its risk characteristics. However, if deposit insurance costs are needed for privately held banks, as would be the case under a system of risk-based insurance premiums, then an alternative method is required. This paper presents a “market comparable” approach for valuing private banks' deposit insurance. The approach first uses information on public depository institutions to identify the statistical relationships between a bank's supervisory accounting data and its risk characteristics derived from equity market data. Second, it uses these relationships to predict the risk characteristics of a private depository institution based on its supervisory accounting data. This approach is applied to over 7000 private banks and thrifts to estimate their risk characteristics and their implied risk-neutral and physical probabilities of insolvency. For the vast majority of institutions, these risk characteristics and insolvency probabilities are within a reasonable range.     

Bank Insolvency, Deposit Insurance, and Capital Adequacy

This paper extends the Dowd (2000) model by introducing a risky investment technology. This assumption allows to introduce the possibility of an insolvency crisis. A banker may earn a positive expected profit by insuring depositors against the technological risk. If the bank has adequate capital, the insurance is credible and an insolvency crisis cannot occur. A public safety net may be unnecessary to prevent insolvency crises.     

Interest Rate Risk and Equity Values of Life Insurance Companies: A GARCH–M Model

The importance of managerial decisions related to interest‐sensitive cash flows has received considerable attention in the insurance literature. Consistent with the interest‐sensitive nature of insurer assets and liabilities, empirical research has shown that insurer insolvency is significantly related to interest rate volatility. We investigate the interest rate sensitivity of monthly stock returns of life insurers based on a generalized autoregressive conditionally heteroskedastic in the mean (GARCH–M) model. We examine three different portfolios (equally weighted, risk‐based, and size‐based) with binary variables to explicitly account for varying interest rate strategies adopted by the Federal Reserve System. Results based on data for the period 1975 through 2000 indicate that life insurer equity values are sensitive to long‐term interest rates and that interest sensitivity varies across subperiods and across risk‐based and size‐based portfolios. The results complement insolvency research that links insurer financial performance to changes in interest rates.     

Feature selection methods involving support vector machines for prediction of insolvency in non‐life insurance companies

We propose two novel approaches for feature selection and ranking tasks based on simulated annealing (SA) and Walsh analysis, which use a support vector machine as an underlying classifier. These approaches are inspired by one of the key problems in the insurance sector: predicting the insolvency of a non‐life insurance company. This prediction is based on accounting ratios, which measure the health of the companies. The approaches proposed provide a set of ratios (the SA approach) and a ranking of the ratios (the Walsh analysis ranking) that would allow a decision about the financial state of each company studied. The proposed feature selection methods are applied to the prediction the insolvency of several Spanish non‐life insurance companies, yielding state‐of‐the‐art results in the tests performed. Copyright © 2005 John Wiley & Sons, Ltd.     

A case of constitutional apples and oranges: a functional comparison of pension priority and benefit guarantees in U.S., U.K. and Canadian insolvency and pension law regimes

Canada's insolvency law reform increased the priority granted to employer‐sponsored pension claims. The article compares the treatment of such claims in the U.S., the U.K. and Canada. A comparison of the legislative provisions concerning pension funding shortfalls from contribution arrears or economic underperformance in relation to the assumptions used for investment income or liability valuations finds that insolvency law has been used to address contribution arrears, but risks from economic underperformance have been addressed by pension benefit insurance. Post‐insolvency priority for contribution arrears provides appropriate incentives to discourage pre‐insolvency preferences for payments to other creditors, while shortfalls from economic underperformance do not involve issues of preference between creditors. The absence of any insolvency rationale for changing priority for shortfalls from economic underperformance and the likely disparity between the assets available to satisfy clams and the much larger amounts of such shortfalls makes the use of insolvency law to address this risk much less effective than insurance. Canada, however, has not adopted the insurance policy instrument used in the U.S. and U.K. to mitigate the impact of pension funding shortfalls. The constitutional inability of Canada to legislate in respect of matters of pension regulation that would allow it to control the well‐known insurance problems of moral hazard and adverse selection may explain why it has only chosen to adopt an insolvency policy instrument. However, a change in priorities in insolvency may generate incentives for secured creditors that either undermine or reinforce this policy choice. Secured creditors could attempt to circumvent the new priority scheme through private arrangements with the debtor or to increase their monitoring activities to ensure the debtor is current in its pension contributions. Secured creditors choices will be influenced by the bankruptcy courts' interpretation of the preference provisions in the insolvency legislation. Copyright © 2009 John Wiley & Sons, Ltd.