BALANCE SHEET STRUCTURE AND THE MANAGERIAL-DISCRETION HYPOTHESIS: AN EXPLORATORY EMPIRICAL STUDY OF NEW ZEALAND LIFE INSURANCE COMPANIES

The managerial-discretion hypothesis states that in mutual insurance companies policyholders will seek to protect their interests by limiting managerial discretion in investment and financing decisions. Therefore, mutuals are predicted to introduce restrictive mechanisms (e.g., company by-laws) that promote precautionary investment, such as government securities. In stock companies, shareholders are expected to increase their wealth at the expense of policyholders' interests by investing in more speculative assets, such as equities. Differences in investment activity also affect policy valuation and reserving decisions reflected in the liability side of the insurance company balance sheet. The managerial-discretion hypothesis implies that systematic differences in the structure of balance sheets between mutual and stock insurance companies are likely to exist. To carry out an exploratory test of this aspect of the managerial-discretion hypothesis, the present study employs canonical correlation analysis on New Zealand life insurance company data for 1991. However, the empirical evidence does not appear to support the proposition that balance sheet structure varies systematically between mutual and stock companies.     

CAT Bonds and Other Risk-Linked Securities: State of the Market and Recent Developments

This article reviews the current status of the market for catastrophic risk (CAT) bonds and other risk-linked securities. CAT bonds and other risk-linked securities are innovative financial vehicles that have an important role to play in financing mega-catastrophes and other types of losses. The vehicles are especially important because they access capital markets directly, exponentially expanding risk-bearing capacity beyond the limited capital held by insurers and reinsurers. The CAT bond market has been growing steadily, with record amounts of risk capital raised in 2005, 2006, and 2007. CAT bond premia relative to expected losses covered by the bonds have declined by more than one-third since 2001. CAT bonds now appear to be priced competitively with conventional catastrophe reinsurance and comparably rated corporate bonds. CAT bonds have grown to the extent that they now play a major role in completing the market for catastrophic-risk finance and are spreading to other lines such as automobile insurance, life insurance, and annuities. CAT bonds are not expected to replace reinsurance but to complement the reinsurance market by providing additional risk-bearing capacity. Other innovative financing mechanisms such as risk swaps, industry loss warranties, and sidecars also are expected to continue to play an important role in financing catastrophic risk.     

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.     

Zunehmende Unsicherheit als Risiko für die Versicherung: Risikotransfer zwischen Unternehmen,Banken, Versicherungen und Märkten

The increase in natural and human catastrophes is well documented. For risk averse private customers this increase in risks implies an increase in the willingness to pay for insurance which in turn increases the business possibilities for insurers. However, this argumentation can not be transferred to firm insurance, as, following the work by Modigliani and Miller, companies are in general not to be regarded as being risk averse. In this article we discuss with the example of the demand for reinsurance why firms might want to shift risk to other firms. An empirical study for the German market for reinsurance is presented. The results are then used to discuss whether an increase in risk might lead to an increase in risk transfers between firms and insurers.     

Capital and Risk Revisited: A Structural Equation Model Approach for Life Insurers

The role of risk in the capital structure decision of firms is a vast topic in finance. Commonly, models of the interrelationship between risk and capital enumerate as many risk factors as possible by appropriate proxies, with the goal of detailing their individual effects. In this study of the life insurance industry for 1994 through 2000, we take a broader, holistic view of enterprise risk, identifying two groups of insurer risk factors that arise from the major activities of life insurers: investing and underwriting. We call the group of risk factors associated with investing asset risk, and the group associated with underwriting product risk. After specifying other important determinants of capital structure as controls, we allow all other risk factors to find expression in residual error. Within this framework, our focus is to compare two candidate measures for the role of proxy for asset‐related risks. One measure, called regulatory asset risk (RAR), derives from the regulatory tradition of concern with solvency and is related to the C‐1 component of risk‐based capital. The other measure, called opportunity asset risk (OAR), is motivated by traditional finance concerns with market risk and reflects volatility of returns. Product‐related risks are proxied by underwriting exposures in different product lines. We employ structural equation modeling (SEM), which uses longitudinal factor analysis. SEM is an innovative technique for such studies, in dealing effectively with multiple structural equations, autocorrelated panel data, unobserved underlying factors, and other issues that are not simultaneously addressed in other methodologies. We find that RAR and OAR are not equivalent proxies for asset risks. Although overlapping to some extent, each illuminates different aspects of the asset risk–capital interrelationship. In particular, RAR does not seem to affect the capital structure decision of small firms, although OAR does. We interpret this to suggest that small firms as a whole are not as sensitive in their capital decisions to the proxy of regulatory concerns as to the proxy of market opportunity. This contrasts with large insurers, for whom both RAR and OAR have significant effects on capital that comport with the finite risk hypothesis. More detailed analysis suggests that the lack of effect of RAR for small insurers may result from RAR's proxying some factors that induce finite risk for part of the small insurer sample, and other factors that favor the excessive risk hypothesis.     

An Empirical Study of Insurance Performance Measure

This author applies Insurance Performance Measure (IPM) to a set of Indian insurance companies over the period 2005–2016. This is the first article published that applies the IPM model on real industry data and studies its implications. The IPM was introduced in a Winter 2002 JACF article by Joseph Calandro, Jr., then at General Star management, a subsidiary of Berkshire Hathaway and by Scott Lane, then an accounting professor at the University of New Haven. Those authors explained why financial reporting for insurance companies was so challenging and presented the IPM metric as a better way to assess industry and company performance. Evaluating P&C companies is difficult because the unique format of insurance company financials does not lend itself to traditional financial accounting analysis and because the industry's preeminent performance measure, the Underwriting Ratio, captures underwriting and claims activity but says nothing about investment and risk distribution (reinsurance). By contrast, the IPM represents the interrelation of underwriting, investment and reinsurance along with a hurdle rate and is quite consistent with Warren Buffett's expressed desire for a balanced overview of industry performance. IPM uses financial data without modification thereby simplifying and fastening computation. Operationally, it could help in negotiations for reinsurance renewals and identify “Maximum Profitable capacity”—the threshold limit for overall profitability.     

中国产险公司再保险决策的影响因素与调整机制研究--基于持续性与趋同性特征的分析

本文以2006~2017年中国39家产险公司的非平衡面板数据为研究样本,从产险公司再保险决策的持续性和趋同性特征入手,测度了固定效应和传统因素对再保险决策的解释能力,并首次探析了产险公司再保险决策的调整机制问题。本文运用方差分解方法量化了固定效应和传统因素对再保险决策的解释能力;采用分布滞后模型估计了传统因素对再保险决策的中长期影响;运用局部调整模型识别了固定效应和传统因素对再保险决策的影响机制。研究发现:受公司固定效应的影响,产险公司的再保险决策具有很强的持续性,每年主要是根据年份固定效应所代表的监管政策等宏观因素的变化做出迅速调整,而根据反映公司经营特征的传统因素的时间序列变化所做出的调整并不明显。基于上述结果,本文建议监管者应注重提升监管政策的针对性,引导产险公司在综合考量各项经营指标的基础上,把再保险作为全面风险管理、经营效率提升的一项中长期战略安排。     

The Determinants of Financial Derivatives Use in the United Kingdom Life Insurance Industry

This paper examines the determinants of financial derivatives use in the United Kingdom life insurance industry. We estimate a probit regression model and a Heckman two-stage sample selection regression model using a sample of eighty-eight U.K. life insurers in 1995. Our results indicate that the propensity to use derivative instruments is positively related to a firm's size, leverage and international links, and negatively related to the extent of reinsurance. We also find that mutual life insurance firms have a greater propensity than stock firms to use derivatives. The positive relation with leverage and the negative relation with reinsurance support the hypothesis that U.K. life insurers use derivatives to offset risk, rather than as a speculative means of income generation. Firm size and organizational form are the main influences on the extent of financial derivatives use.     

企业成长的影响因素——基于中国寿险业的实证研究

企业成长理论是是近年来研究的热门话题,但在国内的文献却不多,以保险业为研究对象更少。以我国寿险企业以研究对象,检验是否遵从Gibrat法则,探讨寿险企业成长的驱动力。结果发现,国内寿险企业规模呈高度斜性分布,即企业规模不是一个纯粹随机事件,必然与某些因素相关;并选取2005年～2009年国内26家寿险企业,采用随机效应面板模型,结论是短期内企业成长与企业规模相关,并不支持Gibrat法则。另外还发现,寿险企业成长受投入成本、是否是集团企业和行业集中度等因素影响,但与分保比例和GDP增速关系不显著。     

Reinsurance and corporate taxation in the United Kingdom life insurance industry

There are two main tax-related arguments regarding the use of reinsurance – the income volatility reduction and the income level enhancement arguments. The income volatility reduction argument contends that firms facing convex tax schedules have incentives to hedge in order to reduce the volatility of their annual taxable income and thereby lower expected tax liabilities [Smith, C.W., Stulz, R.M., 1985. Optimal hedging policies. Journal of Financial and Quantitative Analysis 19, 127–140]. The income level enhancement argument, advanced by Adiel [Adiel, R., 1996. Reinsurance and the management of regulatory ratios and taxes in the property–casualty insurance industry. Journal of Accounting and Economics 22, 207–240], is more specific to hedging via reinsurance. This perspective holds that reinsurance enhances current reported earnings via the receipt of reinsurance commissions and so increases tax liabilities. Consequently, insurance firms with high marginal tax rates should use less reinsurance than those with low marginal tax rates if tax matters. Prior studies using data on financial derivatives have produced mixed results on the validity of the first argument, while Adiel (1996) finds the second argument insignificant in his study of the use of reinsurance by a sample of United States (US) property–liability insurance firms. This study tests the two tax-related arguments using 1992–2001 data for a sample of United Kingdom (UK) life insurance firms. We find that UK life insurers with low before-planning marginal tax rates tend to use more reinsurance; in contrast, tax convexity is found to have no significant impact on the purchase of reinsurance and so the volatility-reduction argument is not supported.     

Economic crisis and determinants of solvency in the insurance sector: new evidence from Spain

This paper analyses the factors that determine the solvency of insurance companies operating in Spain. The selected time span, from 2008 to 2015, encompasses a period of economic instability characterised by record low interest rates and low or even negative economic growth. Using a dynamic panel data model, we conclude that actual solvency margins are positively related to profitability, underwriting risk and a mutual-type organisation but inversely related to size, reinsurance use, longer-tailed business and life insurance specialisation. We also find that less concentrated markets and the context of an economic crisis decrease solvency margins.     

VAR and CTE Criteria for Optimal Quota-Share and Stop-Loss Reinsurance

Abstract

It is well known that reinsurance can be an effective risk management tool for an insurer to minimize its exposure to risk. In this paper we provide further analysis on two optimal reinsurance models recently proposed by Cai and Tan. These models have several appealing features including (1) practicality in that the models could be of interest to insurers and reinsurers, (2) simplicity in that optimal solutions can be derived in many cases, and (3) integration between banks and insurance companies in that the models exploit explicitly some of the popular risk measures such as value-at-risk and conditional tail expectation. The objective of the paper is to study and analyze the optimal reinsurance designs associated with two of the most common reinsurance contracts: the quota share and the stop loss. Furthermore, as many as 17 reinsurance premium principles are investigated. This paper also highlights the critical role of the reinsurance premium principles in the sense that, depending on the chosen principles, optimal quota-share and stop-loss reinsurance may or may not exist. For some cases we formally establish the sufficient and necessary (or just sufficient) conditions for the existence of the nontrivial optimal reinsurance. Numerical examples are presented to illustrate our results.     

Development in medical underwriting in Germany

Life insurance companies generate profits primarily with life insurance and disability protection. Individual risk assessment serves to avoid adverse selection. The assessment of medical risks is based generally on the classification requirements of the reinsurance companies. For this reason the reinsurers provide the primary insurance companies with classification manuals. The manuals from the reinsurers differ only slightly. By means of three examples (heart diseases, cancer and HIV) the development for the last 30 years of underwriting in medical risks is explained in this article.     

The Optimal Write-Down Coefficients in a Percentage for a Catastrophe Bond

Catastrophe bonds, also known as CAT bonds, are insurance-linked securities that help to transfer catastrophe risks from insurance industry to bond holders. When the aggregate catastrophe loss exceeds a specified amount by the maturity, the CAT bond is triggered and the future bond payments are reduced. This article first presents a general pricing formula for a CAT bond with coupon payments, which can be adapted to various assumptions for a catastrophe loss process. Next, it gives formulas for the optimal write-down coefficients in a percentage, implemented by Monte Carlo simulations, which maximize two measurements of risk reduction, hedge effectiveness rate (HER) and hedge effectiveness (HE), respectively, and examines how the optimal write-down coefficients in a percentage help reinsurance or insurance companies to mitigate extreme catastrophe losses. Last, it demonstrates how the number of coupon payments, loss share, retention level, strike price, maturity, frequency, and severity parameters of the catastrophe loss process and different interest rate models affect the optimal write-down coefficients in a percentage with numerical examples for illustrations.     

WHERE'S THE CAT GOING? SOME OBSERVATIONS ON CATASTROPHE BONDS

This article provides an assessment of the current state of the market for catastrophe (or "Cat") bonds. Given the changes in insurance markets since September 11th, the demand for Cat bonds is likely to increase. For issuers, Cat bonds have the effect of transferring risks to the capital markets that would normally be underwritten by insurance or reinsurance companies. And as a substitute for insurance, Cat bonds have the potential to help issuers address problems such as lack of capacity and real risk transfer, cyclicality, and credit risk that are commonly associated with insurance and reinsurance markets. Investors value Cat bonds in part because of their low correlations with stocks and conventional bonds. Notable trends in the structuring of the products involve higher levels of risk transfer, longer-term contracts, and linkage to a portfolio of catastrophic risks.     

The Diversification and Cost Effects of Interstate Banking

This study examines recent interstate bank geographic diversification inside the United States. More than 80 holding companies that gradually evolved into interstate banking companies were tested for significant linkages to risk and efficiency indicators. The study finds that while geographic expansion frequently is associated with increases in risk, when banking firms were grouped by threshold levels of geographic diversification more highly diversified interstate banks appear to achieve reductions in risk exposure and operating costs. The study's results suggest the spread of interstate banking may change the industry's risk and cost profile significantly with profound implications for the future of the deposit insurance fund.     

中国的“影子保险”:来自监管自然实验的证据

影子保险在金融稳定中扮演着重要角色,但现有文献较多关注影子银行,对影子保险关注不足。“影子保险”即保险公司通过再保险方式将保险业务转移给不受监管或者受监管较弱的关联企业的活动,这会推高其真实的杠杆水平,增加金融体系脆弱性。然而,由于影子保险的不透明性和缺少自然实验,现有研究仅基于有限数据或模型给出简单的特征事实或结构性估计,很少能从因果关系上清楚地识别影子保险活动及其机制。本文利用中国加强对中资保险公司(处理组)再保险关联交易监管的政策冲击这一自然实验,使用微观数据和双重差分方法,识别了中国金融体系中的影子保险活动。研究发现,相关监管有效降低了影子保险活动,这一效应对集团公司的影响尤为显著;在机制方面,相关监管通过影响中资保险公司资产负债表两端的结构性调整进而降低了其风险承担行为,提高了经营稳定性。本文方法对识别金融机构的监管套利和防范系统性金融风险具有一定参考意义。     

Reinsurance decisions in life insurance: An empirical test of the risk–return criterion

Recent studies have analyzed optimal reinsurance contracts within the framework of profit maximization and/or risk minimization. This type of framework, however, does not consider reinsurance as a tool for capital management and financing. In the present paper, we consider different proportional reinsurance contracts used in life insurance (viz., quota-share, surplus, and combinations of quota-share and surplus) while taking into account the insurer's capital constraints. The objective is to determine how different reinsurance transactions affect the risk/reward profile of the insurer and whether factors, such as claims severity, premiums, and insurer's risk appetite, influence the choice of a proportional reinsurance coverage. We compare each reinsurance structure based on actual insurance company data, using the risk–return criterion. This criterion determines the type of reinsurance that enables insurer to retain the largest underwriting profits and/or minimize the risk of the retained claims while keeping the insurer's risk appetite constant, assuming a given capital constraint. The results of this study confirm that the choice of reinsurance arrangement depends on many factors, including risk retention levels, premiums, and the variance of the sum insured values (and therefore claims). As such, under heterogeneous insurance portfolio single type of reinsurance arrangement cannot maximize insurer's returns and/or minimize the risk, therefore a combination of different reinsurance coverages should be employed. Hence, future research on optimal risk management choices should consider heterogeneous portfolios while determining the effects of different financial and risk management tools on companies' risk–return profiles.     

Risikomanagement von Versicherungsunternehmen nach KonTraG

The KonTraG (law for control and transparency of firms) obliges corporations to install a risk management system. The common literature referring to the KonTraG only offers some requirements for risk management models. Yet, approaches for an implementation in the insurance practice cannot be found. On the other hand, there is a variety of general stochastic insurance models, but due to their high complexity a practical implementation for KonTraG purposes is doubtful. This article wishes to serve as a link by including KonTraG requirements in a theoretical model, which can easily be implemented in insurance practice with the help of modern IT. The main focus of this article is the development of a risk management model for property-liability and reinsurance companies.     

THE GRAMM‐LEACH‐BLILEY ACT OF 1999: RISK IMPLICATIONS FOR THE FINANCIAL SERVICES INDUSTRY

We document significant risk changes in the financial services industry following the passage of the Gramm‐Leach‐Bliley Act of 1999. Banks experience an increase in risk regardless of whether they have taken steps to participate actively in the investment banking business. Insurance companies also experience an increase in risk, whereas securities firms experience a decrease in risk. We attribute the increase in risk for banks and insurance companies to the fact that the securities business is relatively more risky, and the decline in risk for securities firms to the fact that they can now diversify into relatively less risky banking and insurance businesses.