FROM COMPETITION TO REGULATION: THE SIX-YEAR BATTLE TO REGULATE CALIFORNIA'S INSURANCE MARKETS

Abstract: The passage of California's Proposition 103 in November 1988 changed the State's regulatory structure for insurers from a competitive to a heavily regulated system. The six-year legal battle that followed resulted in several California Supreme Court and United States Supreme Court rulings and an ultimate implementation of rate roll backs on property-liability insurers on November 22, 1994. The study examines both property-liability and life insurers' returns. While only property-liability insurers are affected by the rale rollback and prior approval rate regulation, both life and property-liability insurers are affected by the proposition's other provisions. This paper examines the effect of successive changes on both types of insurance companies and analyzes the differential impact of the changes in regulatory structure.     

Internal Versus External Capital Markets in the Insurance Industry: The Role of Reinsurance

This study compares internal and external sources of capital in the insurance industry by analyzing reinsurance activity between affiliated and unaffiliated insurers. Tests are performed using data from a large sample of property-liability insurers that are affiliated with at least one other property-liability insurer. Results indicate that while demands for internal and external reinsurance have some factors in common, there are cost-based differences in internal and external capital, as well as structural differences in the use of internal and external reinsurance. Results are consistent with previous theories related to internal versus external capital markets.     

Determinanten der Liquidität in der deutschen Schaden- und Unfallversicherungsindustrie: Bedeutung,Erklärungskraft und Auswirkung der Finanzkrise

The aim of this paper is to analyze the corporate liquidity and its determinants for the German property-liability insurance industry using company-level data for the period 2002–2014. We first investigate the differences in cash holdings across insurers. We then quantify the relative importance of firm-level determinants compared with macroeconomic determinants in explaining insurers’ cash holding choices. In addition, we examine whether the financial crisis of 2008 has an impact on the liquidity situation of insurers. Our results indicate that cash holdings vary significantly across German property-liability insurers. The firm-level determinants size, group affiliation and reinsurance utilization explain more than 50% of the variation. We also find that macroeconomic conditions appear to have negligible effects on the liquidity situation of insurers. In addition, we do not find evidence that the liquidity of German property-liability insurers is influenced by the financial crisis of 2008. The proportion of cash remains relatively stable at 6% of the total assets.     

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.     

German bond markets and US monetary policy

Low interest rates have been a major problem for the European life insurance industry. The implementation of Solvency II certainly has forced European life insurers to improve their risk management procedures and to buy long term bonds in order to handle the interest rate risk inherent to their liabilities. As a consequence, the industry meanwhile more or less seems to be able to cope with the problem of low interest rates. However, now the US central bank has started to hike rates. The Bank of Canada meanwhile has followed its southern neighbor. The changed monetary policy environment in North America might create new challenges for asset managers in the European life insurance industry. This paper provides some additional thoughts and empirical evidence about the linkages between US monetary policy and the European bond market employing techniques of time series analysis.     

Effects of Risk Management on Cost Efficiency and Cost Function of the U.S. Property and Liability Insurers

Abstract

This paper adopts the one-step stochastic frontier approach to investigate the impact of risk management tools of derivatives and reinsurance on cost efficiency of U.S. property-liability insurance companies. The stochastic frontier approach considers both the mean and variance of cost efficiency. The sample includes both stock and mutual insurers. Among the findings, the cost function of the entire sample carries the concavity feature, and insurers tend to use financial derivatives for firm value creation. The results also show that for the entire sample the use of derivatives enhances the mean of cost efficiency but accompanied with larger efficiency volatility. Nevertheless, the utilization of financial derivatives mitigates efficiency volatility for mutual insurers. This research provides important insights for the practice of risk management in the property-liability insurance industry.     

International P/L insurance output,input, and productivity comparisons

This research provides (bilateral) divisia and multilateral divisia indexes of output, input, and productivity for the property-liability (P-L) insurance industry for the following countries: United States, West Germany, Switzerland, France, and Japan. The time period studied is 1975 to 1987. The results indicate that considerable diversity exists among different countries, with Japan showing the weakest productivity growth. The United States and West Germany are associated overall with high productivity.     

Economies of scope in financial services: A DEA efficiency analysis of the US insurance industry

This paper investigates economies of scope in the US insurance industry over the period 1993–2006. We test the conglomeration hypothesis, which holds that firms can optimize by diversifying across businesses, versus the strategic focus hypothesis, which holds that firms optimize by focusing on core businesses. We analyze whether it is advantageous for insurers to offer both life-health and property-liability insurance or to specialize in one major industry segment. We estimate cost, revenue, and profit efficiency utilizing data envelopment analysis (DEA) and test for scope economies by regressing efficiency scores on control variables and an indicator for strategic focus. Property-liability insurers realize cost scope economies, but they are more than offset by revenue scope diseconomies. Life-health insurers realize both cost and revenue scope diseconomies. Hence, strategic focus is superior to conglomeration in the insurance industry.     

Mergers and acquisitions in the US property-liability insurance industry: Productivity and efficiency effects

This paper analyzes the productivity and efficiency effects of mergers and acquisitions (M&As) in the US property-liability insurance industry during the period 1994–2003 using data envelopment analysis (DEA) and Malmquist productivity indices. We seek to determine whether M&As are value-enhancing, value-neutral, or value-reducing. The analysis examines efficiency and productivity change for acquirers, acquisition targets, and non-M&A firms. We also examine the firm characteristics associated with becoming an acquirer or target through probit analysis. The results provide evidence that M&As in property-liability insurance were value-enhancing. Acquiring firms achieved more revenue efficiency gains than non-acquiring firms, and target firms experienced greater cost and allocative efficiency growth than non-targets. Factors other than efficiency enhancement are important factors in property-liability insurer M&As. Financially vulnerable insurers are significantly more likely to become acquisition targets, consistent with corporate control theory, and we also find evidence that M&As are motivated to achieve diversification. However, there is no evidence that scale economies played an important role in the insurance M&A wave.     

Grenzen zulässiger Kapitalanlagestrategien deutscher Lebensversicherer

The article focuses on two questions related to the financial supervision of German life insurers. German insurers are not allowed to invest more than 30% (35 % from Jan. 1st, 2002) of their assets covering the technical provisions in stocks. First, it has been elaborated that this fixed limitation of stock investments is inconsistent with a risk-related asset allocation. Life insurers should observe the recognitions of the capital market theory as do all other investors. Basically, fixed liabilities have to be covered safely, i. e. with bonds. Not withstanding this, fixed liabilities may be covered with stocks if the losses which may occur due to the volatility of the capital markets can be equalized through the dissolution of hidden reserves (which is a phenomenon arising from the German accounting standards). Since the hidden reserves differ from insurer to insurer the regulation of stock investments is recommended to be carried out individually. The British solution has been introduced as an example for an individual regulation of the stock / bond-ratio. Secondly, the differentiation between the German technical provisions and free assets is also partly inconsistent with a risk-related asset allocation. The free assets cover liabilities to the amount of the terminal bonus reserve, which have to be covered safely with bonds. Nevertheless, even today a with-bonus life insurance contract investing more in stocks than in bonds can be offered. In this case, fixed liabilities should be prevented by a low guaranteed interest rate and a high and variable terminal bonus.     

Adverse Selection and the Opaqueness of Insurers

While adverse selection problems between insureds and insurers are well known to insurance researchers, few explore adverse selection in the insurance industry from a capital markets perspective. This study examines adverse selection in the quoted prices of insurers' common stocks with a particular focus on the opacity of both asset portfolios and underwriting liabilities. We find that more opaque underwriting lines result in greater adverse selection costs for property-casualty (P-C) insurers. A similar effect is not apparent for life-health (L-H) insurers and we find no effect of asset opaqueness on adverse selection for either L-H or P-C insurers.     

Considerations of cost trade-offs in insurance solvency surveillance policy

We propose a process for identifying potentially insolvent insurers on a cost-effective basis. A loss cost function is developed such that the effectiveness of monitoring is maximized relative to a cost constraint. The loss cost function is supported by a model that provides a rank ordering of financial institutions according to their probability of insolvency. When tested against a full sample of property-liability insurance companies , the procedure provides information critical to maximizing the effectiveness of regulatory resources available for solvency surveillance and performs well as a predictor of insolvency. Likewise, the rank ordering of insurers overcomes an estimation problem critical to establishing risk-adjusted guaranty assessments.     

Regulatory capital and asset risk transfer

We explore whether life insurers use a unique reinsurance arrangement to manage assets tied to their regulatory capital. Typical reinsurance allows insurers to reduce their regulatory capital by transferring liabilities (reserves), and the associated assets, to reinsurers. With modified coinsurance (ModCo), insurers maintain control of their liabilities and assets while transferring regulatory capital requirements to the reinsurer. Holding fixed an insurer's reported capital, we find that ModCo allows insurers to report higher risk-based capital ratios. Insurers with ModCo are less likely to fire sale downgraded bonds. We also find suggestive evidence of regulatory arbitrage, as most ModCo is purchased from reinsurers in countries with low capital requirements or within the same insurance group.     

Risk-Based Premiums for Insurance Guaranty Funds

Insurance guaranty funds have been adopted in all states to compensate policyholders for losses resulting from insurance company insolvencies. The guaranty funds charge flat premium rates, usually a percentage of premiums. Flat premiums can induce insurers to adopt high-risk strategies, a problem that can be avoided through the use of risk-based premiums. This article develops risk-based premium formulas for three cases: a) an ongoing insurer with stochastic assets and liabilities, b) an ongoing insurer also subject to jumps in liabilities (catastrophes), and c) a policy cohort, where claims eventually run off to zero. Premium estimates are provided and compared with actual guaranty fund assessment rates.     

Impact of interest rates on the life insurance market development: Cross-country evidence

Studies have found that interest rates create incentives for insurance firms to focus on financial markets through investments. Using a cross-country context, we conjecture that interest rates affect the life insurance market’s development. Using an initial sample comprising the time series of interest rates and insurance markets’ measures from 34 countries across 1998–2017, we found that the density and penetration of the life insurance market is low in countries with high interest rates. Using another sample of 6,451 observations from insurance firms operating in the same 34 countries, we verified that the financial and operational incomes are equally significant in predicting the net income for life insurance companies that operate in countries with high interest rates. Our study contributes to observations that the lack of governmental control over public expenses impacts interest rates and, thereby, the opportunities for insurers.     

Strategisches Asset-Liability Management in der Versicherungswirtschaft — Ein Ansatz zur integrierten Bilanzstrukturoptimierung

Asset-Liability Management has gained increased significance within the German insurance industry. This was mainly driven by recent capital market developments. In fact, insurers have encountered challenges to earn given interest guarantees. Regulatory changes also require more sophisticated ALM-tools. Solvency II will change the underlying paradigm and shift balance sheets perception towards a market value oriented view. Especially liabilities will have to be accounted for using the fair value approach. Most ALM-tools appear to be unable to cope with these demands. To improve this current practice, in this paper a Markowitz-approach is employed in order to generate an integrated method for the optimization of assets and liabilities in the life insurance industry. This technique aims to link new regulatory requirements to the latest capital market theory and therefore delivers a procedure for an integrated asset allocation policy in the insurance industry.     

New Risk-Based Capital Standards in the European Union: A Proposal Based on Empirical Data

In response to criticism concerning the current solvency system, the European Commission is developing new rules for insurance companies operating in the member states of the European Union (EU). Under this so-called Solvency II concept, an insurer is allowed to verify its solvency by using an internal risk management model previously approved by the regulatory authority. In this article we develop such an internal risk management approach for property-liability insurers that is based on dynamic financial analysis (DFA). The proposed concept uses a simulation technique and models the central risk factors from the investment and underwriting areas of an insurance company. On the basis of the data provided by a German insurer, the ruin probabilities under different scenarios and varying planning horizons are calculated.     

Market Risk,Interest Rate Risk,and Interdependencies in Insurer Stock Returns: A System‐GARCH Model

We examine market risk, interest rate risk, and interdependencies in returns and return volatilities across three insurer segments within a System‐GARCH framework. Three main results are obtained: market risk is greatest for accident and health (A&H) insurers, followed by life (Life) and property and casualty (P&C) insurers; interest rate sensitivity is negative and greatest for Life insurers; and interdependencies in returns are significant with the magnitude being strongest between P&C and A&H insurers. The implication is that greatest diversification benefits arise between Life and the other segments of the insurance industry. Market risk and interest rate risk for diversified firms are smaller than those for nondiversified firms for both product and geographic diversification.     

Interest rate model comparisons for participating products under Solvency II

Under the Solvency II regulatory framework it is essential for life insurers to have an adequate interest rate model. In this paper, we investigate whether the choice of the interest rate model has an impact on the valuation of the best estimate of the liabilities. We use three well-known interest rate models; the CIR++-model, the G2++-model and the Libor Market model. Our numerical results show that for low to medium durations of the liabilities and a relatively low proportion of credit bonds in the asset portfolio, the three interest rate models produce quite similar values for the best estimate liabilities. However, for large durations of the liabilities, or a large bond proportion, or both, the differences can be quite large. There is no easy answer to the question of which model should be used in cases where the choice of interest rate model has a significant impact. Based on the study described in this paper, our advice is to use the G2++-model, which seems to represent an appropriate trade-off between accuracy and complexity.