Corporate Risks and Property Insurance: Evidence From the People's Republic of China

Using panel data (1997–1999) for 235 publicly listed companies in the People's Republic of China, this study empirically tests the linkage between corporate risks and the decision to purchase property insurance and its financial extent. To achieve these objectives, we first estimate a probit insurance participation decision model and then a fixed‐effects insurance volume decision model with Heckman's sample selection correction. Our results indicate that the managerial decision to purchase property insurance is positively related to company size and insolvency risks. By contrast, the amount of property insurance purchased is positively related to systematic risks but negatively related to insolvency and unsystematic risks and company size. We find that the amount of property insurance used by Chinese companies can also be affected by other factors (e.g., the cash flow constraints). In addition, the decision to purchase property insurance and the financial extent to which it is used varies among Chinese companies according to their geographical location. However, state ownership does not appear to be an important determinant of the purchase of property insurance by Chinese publicly listed companies.     

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.     

INSOLVENCY PREDICTION IN THE PRESENCE OF DATA INCONSISTENCIES

In this paper we use data inconsistencies as an indicator of financial distress. Traditional models for insolvency prediction normally ignore inconsistent data, either by removing or replacing it. Instead of removing that information, we propose a new variable to capture it; using it together with traditional accounting variables (based on financial ratios) for the purpose of insolvency prediction. Computational tests use three datasets based on the financial results of 2033 Brazilian Health Maintenance Organizations over 7 years (2001 to 2007). Sixteen classification methods were used to evaluate whether or not the new variable impacted solvency prediction. Tests show a statistically significant improvement in classification accuracy – average results improve 1.3 (p = 0.003) and 1.8 (p = 0.006) percentage points, for 10‐fold and leave‐one‐out cross‐validations respectively. In addition, the analysis of false positives and false negatives shows that the new variable reduces the potentially harmful misclassification of false negatives (i.e. financially distressed companies being classified as financially healthy) and also reduces the estimated overall error rate. Regarding the extensibility of the results, even though this work uses data from Brazilian companies only, the calculation of the financial ratios variables, as well as the inconsistencies, could be extended to most companies worldwide subject to governmental accounting regulations aligned with the International Financial Reporting Standards. Copyright © 2014 John Wiley & Sons, Ltd.     

The origins and development of the office of registrar in bankruptcy of the High Court

This article examines the history of the office of Bankruptcy Registrar of the High Court of England and Wales. It is argued that the power of the registrars to act judicially grew from their authorisation to act pursuant to delegated powers introduced in 1869 and that this began a major shift in their role from being largely administrative to their current status as fully fledged (and renamed) insolvency and companies court judges. The fluidity of bankruptcy offices in the nineteenth century is also examined, demonstrating that certain bankruptcy officer‐holders moved freely between functions in the course of the development in the office of registrar from what might be called its administrative phase to the judicial phase with the eventual creation of a Bankruptcy Court and more recently the creation of a specialist insolvency and companies list in the new Business and Property Courts. Finally, it is argued that a factor in the foregoing developments and the increasing reputation of the bankruptcy registrars was the extension of their jurisdiction from pure bankruptcy work to include company insolvency, directors' disqualification cases and non‐insolvency company work, a significant increase in their trial work and their acquisition of an appellate jurisdiction.     

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.     

Predicting Private Company Failures in Italy Using Financial and Non‐financial Information

The study assesses the use of non‐financial information in predicting financial distress in private companies by developing credit risk models tailored to Italian private companies. The in‐sample and out‐of‐sample prediction test results are indicative of the incremental predictive ability of the two new non‐financial variables, that is, number of shareholders and number of subsidiaries, over accounting ratios and other widely used non‐financial information, including firm age and industry dummies. To be more specific, number of shareholders and number of subsidiaries are negatively associated with private company failures, and the models augmented by the two non‐financial variables improve forecasting performance from acceptable discrimination to excellent discrimination over one‐ to three‐year time horizons.     

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.     

The Role of Holding Company Financial Information in the Insurer-Rating Process: Evidence From the Property-Liability Industry

We examine data for the year ended December 31, 1997 for 80 publicly traded property‐liability insurers that have Best financial strength ratings of their consolidated insurance‐operating subsidiaries. These firms employ a holding company structure, in which a parent owns the stock of multiple insurance‐operating subsidiaries. The operating subsidiaries prepare a consolidated annual report using the Statutory Accounting Principles (SAP), and an analogous set of financial statements based on the Generally Accepted Accounting Principles (GAAP) is released by the parent. We find that the financial characteristics important in determining ratings at the individual firm level—capitalization, liquidity, profitability, and size—are also important at the group level. Further, financial ratios from holding company statements are incrementally useful in the ratings' process, after group‐level ratios have been taken into account. Robustness tests based on a subsample of holding companies with minimal investment outside of the property‐liability industry reinforce our conclusion that parent company statements influence consolidated group ratings. However, our data do not allow us to separate the relative contribution of the GAAP model and underlying transactions to the ratings decision.     

美国保险公司破产研究及对我国的启示

保险公司的破产会给保单持有人、股东以及保险保障基金等造成很大的损失。鉴于国内相关案例和数据的缺乏,本文主要参考美国的文献和数据,分析了1978年～2009年美国保险公司破产案例,研究发现虽然保险公司破产的触发事件主要是损失准备金不足、非充分定价、公司业务的快速增长、子公司破产和投资失败等,但导致保险公司破产的根本原因却...     

Adverse Selection in Term Life Insurance Purchasing due to the BRCA1/2 Genetic Test and Elastic Demand

Consumer groups fear that the use of genetic testing information in insurance underwriting might lead to the creation of an underclass of individuals who cannot obtain insurance; thus, these groups want to ban insurance companies from accessing genetic test results. Insurers contend that such a ban might lead to adverse selection that could threaten their financial solvency. To investigate the potential effect of adverse selection in a term life insurance market, a discrete‐time, discrete‐state, Markov chain is used to track the evolution of twelve closed cohorts of women, differentiated by family history of breast and ovarian cancer and age at issue of a 20‐year annually renewable term life insurance policy. The insurance demand behavior of these women is tracked, incorporating elastic demand for insurance. During the 20‐year period, women may get tested for BRCA1/2 mutations. Each year, the insurer calculates the expected premiums and expected future benefit payouts which determine the following year's premium schedule. At the end of each policy year, women can change their life insurance benefit, influenced by their testing status and premium changes. Adverse selection could result from (i) differentiated benefits following test results; (ii) differentiated lapse rates according to test results; and (iii) differentiated reactions to price increases. It is concluded that with realistic estimates of behavioral parameters, adverse selection could be a manageable problem for insurers.     

Do Property–Casualty Insurance Firms Locate to Minimize Insurance Premium Taxes?

States levy insurance premium taxes, which are essentially gross receipt taxes on premiums, with insurance companies paying the higher of the tax rate in the state in which the company is domiciled and the state in which the policy is written. Using firm‐level data for the property–casualty (P‐C) insurance industry, we estimate the extra insurance premium tax that P‐C insurance firms pay by not locating in the state that minimizes their insurance premium taxes. We find that only 4.78 percent of P‐C firms are located in the state that minimizes their insurance premium taxes. We explore the relationship between the extra tax paid and other factors that are thought to be associated with firm location choice. We find that P‐C firms appear to trade off higher taxes to locate in a state that is more urban.     

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.     

消费者投诉冲击与保险公司业绩北大核心

保险消费者权益保护是保险监管的目标之一,也是保险市场健康发展与成熟的标志。本文以中国保险监管部门开通首个保险消费者投诉热线作为外生政策变量,利用2009-2018年中国163家保险公司数据设计准自然实验,研究了保险消费者投诉热线的外部监督职能及其对保险公司业绩的影响。研究结果表明:保险消费者投诉热线的开通显著降低了消费者权益保护水平更差的保险公司业绩;佣金激励水平越高,保险消费者投诉冲击对消费权益保护水平更差的保险公司业绩的负向影响越显著;区分人身保险公司与财产保险公司后发现,保险消费者投诉冲击对消费者权益保护水平更差的财产保险公司业绩的负向影响更显著。本文研究成果丰富了消费者权益与保险公司治理理论,对保险消费者权益保护实践和保险市场高质量发展具有启示意义。     

A Voluntary Deductible in Social Health Insurance with Risk Equalization: “Community‐Rated or Risk‐Rated Premium Rebate?”

On January 1, 2006 a new mandatory basic health insurance will be introduced in the Netherlands. One aspect of the new scheme is that the insured can choose to have a deductible. This option should increase the individual responsibility and reduce moral hazard. In the new scheme, a risk equalization system is aimed at avoiding preferred risk selection and insolvency of insurance companies with a relatively high‐risk pool. A crucial issue with respect to a voluntary deductible in this type of social health insurance is whether the premium rebate should be community rated or risk rated. The Dutch government has chosen the former, which means that the premium rebate will be independent of health status and risk. Our analysis shows that, in a situation with “accurate” risk equalization, a community‐rated premium rebate could lead to an adverse selection spiral. Over time, this spiral results in none of the insured taking a deductible and thus no reduction in moral hazard.     

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.     

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 Impact of Surplus Distribution on the Risk Exposure of With Profit Life Insurance Policies Including Interest Rate Guarantees

This article analyzes the numerical impact of different surplus distribution mechanisms on the risk exposure of a life insurance company selling with profit life insurance policies with a cliquet‐style interest rate guarantee. Three representative companies are considered, each using a different type of surplus distribution: a mechanism, where the guaranteed interest rate also applies to surplus that has been credited in the past, a slightly less restrictive type in which a guaranteed rate of interest of 0 percent applies to past surplus, and a third mechanism that allows for the company to use former surplus in order to compensate for underperformance in “bad” years. Although at the outset all contracts offer the same guaranteed benefit at maturity, a distribution mechanism of the third type yields preferable results with respect to the considered risk measure. In particular, throughout the analysis, our representative company 3 faces ceteris paribus a significantly lower shortfall risk than the other two companies. Offering “strong” guarantees puts companies at a significant competitive disadvantage relative to insurers providing only the third type of surplus distribution mechanism.     

Creating Customer Value in Participating Life Insurance

The value of a life insurance contract may differ depending on whether it is looked at from the customer's point of view or that of the insurance company. We assume that the insurer is able to replicate the life insurance contract's cash flows via assets traded on the capital market and can hence apply risk‐neutral valuation techniques. The policyholder, on the other hand, will take risk preferences and diversification opportunities into account when placing a value on that same contract. Customer value is represented by policyholder willingness to pay and depends on the contract parameters, that is, the guaranteed interest rate and the annual and terminal surplus participation rate. The aim of this article is to analyze and compare these two perspectives. In particular, we identify contract parameter combinations that—while keeping the contract value fixed for the insurer—maximize customer value. In addition, we derive explicit expressions for a selection of specific cases. Our results suggest that a customer segmentation in this sense, that is, based on the different ways customers evaluate life insurance contracts and embedded investment guarantees while ensuring fair values, is worthwhile for insurance companies as doing so can result in substantial increases in policyholder willingness to pay.     

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.     

Explaining variation in risk across insurance companies

The purpose of this study is to determine what firm-specific factors affect the risk of insurance companies. Traditional methods used to identify potential failures have been severely criticized. Thus, alternative approaches to risk assessment should be of interest to investors and managers of these companies. Models for measuring the impact of factors on risk are developed and empirically tested. The models employed explain a high proportion of variation in risk levels across companies. The sensitivity of insurance company risk to financial characteristics vary with the variable used as a proxy for risk and the type of insurance company assessed. Given the strong relationships between firm-specific characteristics and company risk, it appears that the risk of insurance companies can be effectively controlled with proper management.