Andre P. Liebenberg

The Value of Enterprise Risk Management

Enterprise risk management (ERM) has been the topic of increased media attention in recent years. The objective of this study is to measure the extent to which specific firms have implemented ERM programs and, then, to assess the value implications of these programs. We focus our attention in this study on U.S. insurers in order to control for differences that might arise from regulatory and market differences across industries. We simultaneously model the determinants of ERM and the effect of ERM on firm value. We estimate the effect of ERM on Tobins Q, a standard proxy for firm value. We find a positive relation between firm value and the use of ERM. The ERM premium of roughly 20 percent is statistically and economically significant.

Determinants of Corporate Diversification: Evidence from the Property–Liability Insurance Industry

Using a sample of property-liability insurers over the period 1995-2004, we develop and test a model that explains performance as a function of line-of-business diversification and other correlates. Our results indicate that undiversified insurers consistently outperform diversified insurers. In terms of accounting performance, we find a diversification penalty of at least 1 percent of return on assets or 2 percent of return on equity. These findings are robust to corrections for potential endogeneity bias, alternative risk measures, alternative diversification measures, and an alternative estimation technique. Using a market-based performance measure (Tobins Q) we find that the market applies a significant discount to diversified insurers. The existence of a diversification penalty (and diversification discount) provides strong support for the strategic focus hypothesis. We also find that insurance groups underperform unaffiliated insurers and that stock insurers outperform mutuals. Copyright (c) The Journal of Risk and Insurance, 2008.

A Dynamic Analysis of the Demand for Life Insurance

Prior research suggests that neither the choice to own life insurance nor the amount purchased is consistently related to the presence of children in the household. While these perplexing findings are based on a static framework, we alternatively examine life insurance demand in a dynamic framework as a function of changes in household life cycle and financial condition. Our results indicate both a statistically and economically significant relation between life events, such as new parenthood, and the demand for life insurance. We also provide new evidence in support of the emergency fund hypothesis: households in which either spouse has become unemployed are more likely than other households to surrender their whole life insurance.

The Demand for Life Insurance Policy Loans

Previous research has examined the demand for life insurance policy loans using aggregate policy loan data. In contrast, we use a detailed household survey data set containing life insurance and policy loan information to alternatively, and in some cases more directly, examine the four hypotheses traditionally associated with policy loan demand. Our research provides the first U.S. evidence (in the post–World War II period) in support of the policy loan emergency fund hypothesis. In particular, we find that the more detailed emergency fund proxies used here reveal a significantly positive relation between loan demand and recent expense or income shocks.

Life Insurance Lapse Behavior

Life insurance policy lapses are detrimental to issuing insurers when lapses substantially deviate from insurer expectations. The extant literature has proposed and tested, using macroeconomic data, several hypotheses regarding lapse determinants. While macroeconomic data are useful in providing a general test of lapse determinants, the use of aggregate data precludes an analysis of microeconomic factors that may drive the lapse decision. We develop and test a microeconomic model of voluntary life insurance lapse behavior and provide some of the first evidence regarding household factors related to life insurance lapses. Our findings support and extend the prior evidence regarding lapse determinants. Consistent with the emergency fund hypothesis we find that voluntary lapses are related to large income shocks, and consistent with the policy replacement hypothesis we find that the decision to lapse a life insurance policy is directly related to the purchase of a different life insurance policy. We also find that age is an important moderating factor in the lapse decision. Changes in income appear to more directly affect the decision to lapse for younger households, while they are generally unrelated to the lapse decision for older households.

What Effect Did Aig's Bailout, and the Preceding Events, Have on its Competitors?

We examine the effect of AIG’s bailout, and the events leading up to it, on its insurance industry rivals. The reaction of rivals to AIG-related events depends on the relative strength of two competing effects. The contagion effect implies that rival returns will decrease following negative events affecting AIG. In contrast, competitive effects will occur if investors expect that rivals will be able to benefit from AIG’s downfall. Using a three-factor multivariate regression model event study methodology we find evidence of both effects around several key dates in AIG’s decline.

Information and Insurer Financial Strength Ratings: Do Short Sellers Anticipate Ratings Changes?

Ratings of financial institutions have been shown to provide informational value as stock prices generally decrease in response to ratings downgrades. Moreover, insurers stock prices have been observed to decrease 2 days prior to downgrades, suggesting that informed trading occurs during the predowngrade period. This study examines the trading activity of short sellers surrounding insurer financial strength ratings. We show that short selling is abnormally high during the predowngrade period—indicating that short sellers can predict rating downgrades. Interestingly, we find that predowngrade short selling is driven by stocks of insurers with the most transparent balance sheets. This result suggests that while short sellers can predict rating downgrades generally, the opaqueness of an insurers assets and liabilities can inhibit informed trading during the predowngrade period.

Adverse Selection in the Credit Life Insurance Market

Adverse selection plays a prominent role in the insurance literature due to its negative implications for insurer financial performance and stability. However, there is a paucity of empirical evidence consistent with the existence of adverse selection in the U.S. insurance market. Potential reasons for the lack of evidence include: (1) that insurers effectively use underwriting and pricing to counteract adverse selection; or (2) that consumers either do not have, or fail to take advantage of, private information. We test for the existence of adverse selection in the credit life insurance market where opportunities to exploit asymmetric information are pronounced due to the lack of underwriting and highly regulated prices. Our analysis provides evidence consistent with adverse selection in the credit life market and suggests that the lack of empirical evidence regarding adverse selection may be due to effective underwriting rather than consumers failing to use informational advantages to their benefit.

Insurer Growth Strategies: Insurer Growth Strategies

We study corporate growth strategy within the U.S. property–casualty insurance industry—where firms are required to report uniquely detailed operating information. We present and test two hypotheses related to the manner in which firms choose to grow: the pecking order hypothesis and the managerial discretion hypothesis. Our results imply that insurers follow a general pecking order of growth strategies, where they tend to grow first by entering new states, then by adding new lines of business, and finally through acquisitions. This order is consistent with firms initially choosing to grow in the least costly and complex manner and subsequently choosing more costly and complex methods. We also find evidence in support of the managerial discretion hypothesis as mutual insurers are less likely to choose to grow and, when they do, they tend to select less complex growth methods.

Decomposing diversification effect: evidence from the U.S. property-liability insurance industry

Prior literature suggests that diversified property-liability (P/L) insurers underperform their focused counterparts. While most studies focus on insurers’ overall performance, there is an absence of evidence regarding whether the underperformance is driven by underwriting or investment profitability. The authors develop and test hypotheses of diversification’s separate effect on underwriting and investing in the U.S. property-liability (P/L) insurance industry. It is found that diversified insurers outperform their focused counterparts in terms of investment return, but that they underperform in terms of underwriting profitability. The results are robust to corrections for endogeneity bias and a matched sample analysis.