Capital Structure, Agency Problems, and Deposit Insurance in Banking Firms

This paper applies and synthesizes various theories of corporate finance, including capital structure, agency insurance, and regulation, to the case of banking firms and the deposite insurance system. It is argued that a value-maximizing bank would reach its optimal capital structure by minimizing the agency costs of incentive conflicts among stockholders, managers, uninsured depositors, and the deposit insurance agency. Although a regulatory imposed capital requirment may reduce the agency costs inherent in the insurance contact, it cannot produce a universal capital structure that is optimal for all insured banks. The observed capital structure patterns also suggest that banks actively seek an optimal capital structure.     

Optimal insurance contract and coverage levels under loss aversion utility preference

This study develops an optimal insurance contract endogenously and determines the optimal coverage levels with respect to deductible insurance, upper-limit insurance, and proportional coinsurance, and, by assuming that the insured has an S-shaped loss aversion utility, the insured would retain the enormous losses entirely. The representative optimal insurance form is the truncated deductible insurance, where the insured retains all losses once losses exceed a critical level and adopts a particular deductible otherwise. Additionally, the effects of the optimal coverage levels are also examined with respect to benchmark wealth and loss aversion coefficient. Moreover, the efficiencies among various insurances are compared via numerical analysis by assuming that the loss obeys a uniform or log-normal distribution. In addition to optimal insurance, deductible insurance is the most efficient if the benchmark wealth is small and upper-limit insurance if large. In the case of a uniform distribution that has an upper bound, deductible insurance and optimal insurance coincide if benchmark wealth is small. Conversely, deductible insurance is never optimal for an unbounded loss such as a log-normal distribution.     

Accident Year Development, Bonus Banks, and Insurance Incentive Compensation

Insurance claims can take years to resolve, which makes insurance performance measurement—and incentive compensation based on such measurement— challenging. The insurance industry utilizes a method of analysis called accident year analysis to manage the temporal challenge inherent in insurance claims. Despite the managerial and economic utility of this method of analysis, it has generally not been applied to incentive compensation programs for insurance company executives and employees. This article will explain accident year analysis, and will show how it can be merged with the bonus bank concept and the Insurance Performance Measure, which is an insurance economic profit metric, to construct an economically consistent insurance incentive compensation program.     

Work‐related perks,agency problems,and optimal incentive contracts

Work‐related perks, such as corporate jets, nice offices, and so forth, improve the tradeoff between incentives and insurance that determines the optimal incentive contract. We show that (i) such perks may be offered even if their direct consumption benefits are offset by their costs; (ii) they will be offered for free; (iii) agents in more uncertain production environments will receive more perks; (iv) senior executives should receive more perks; and (v) better corporate governance can lead to more perk consumption by CEOs. Our analysis also offers insights into firms' decisions about how much autonomy they should grant to their employees.     

Ex ante loss control by insurers: Public interest for higher profit

This article examines the incentives of an insurer to modify loss distributions prior to the sale of insurance. While actions such as lobbying Congress for mandatory airbags in automobiles are undertaken by insurers for the stated purpose of reducing the aggregate loss in society, they also change the nature of the risk being insured and, hence, affect the profitability of insurance sales. For the case of loss prevention (reducing the probabilty of a loss), insurers do not always have an incentive to invest in loss control. For loss reduction (reducing the severity of any loss that does occur), the incentive is to reduce the size of small losses while simultaneously increasing the size of large losses. Venezian Associates     

Deposit insurance and subsidized recapitalizations

The 2007–2009 financial crisis saw a vast expansion in deposit insurance guarantees around the world and yet our understanding of the design and consequences of deposit insurance schemes is in its infancy. We provide a new rationale for the provision of deposit insurance. In our model the banking sector exhibits both adverse selection and moral hazard, which implies that the social benefits of bank monitoring must for incentive reasons be shared between depositors and banks. Consequently, socially too few deposits are made in equilibrium. Deposit insurance – or, equivalently, bank recapitalization – corrects this market failure. We find that deposit insurance should be funded not by banks or depositors but out of general taxation. The optimal level of deposit insurance varies inversely with the quality of the banking system. Hence, when the soundness of the financial sector is uncertain, governments should consider supporting deposit insurance schemes and undertaking subsidized recapitalizations.     

State Dependent Unemployment Benefits

Optimal design of unemployment insurance is considered in a search setting where the state of nature (business cycle) affects the unemployment risk and thus the return to search. The incentive effects or distortions of individual job search arising due to the unemployment insurance scheme are crucial for optimal policies, so is the scope for risk diversification that depends critically on whether the balanced budget requirement applies to each state of nature or across states of nature. In the former case a basic budget effect tends to cause optimal benefits to be procyclical. If risk diversification across states of nature is possible, the fact that incentives are more distorted in good than bad states of nature tends to make both benefits and contribution rates countercyclical. It is shown that countercyclical benefits exacerbate employment fluctuations but increase average employment by aligning benefits more with states of nature where the incentive costs are small.     

Information reusability,competition and bank asset quality

This paper explains the recent decline m bank asset quality using the notion of information reusability. Banks are viewed as information processors; they exist because of their advantage in extracting the surplus associated with the reusability of borrower-specific information. It is shown that a bank's incentive to screen loan applicants, and hence maintain the quality of its assets, depends on the surplus this screening can produce, which in turn depends on information reusability. Two recent changes in banks' operating environment are increased competitition and greater temporal volatility in borrower credit risks. The former has directly reduced banks' informational surplus while the latter has impaired information reusability. Hence screening expenditures have been reduced and the diminution of screening has lowered the quality of bank assets. It is also shown that an increase in deposit insurance premia has an effect similar to that of narrowing interest spreads and therefore will result in reduced asset screening and impaired asset quality.     

Redistributive taxation and social insurance under adverse selection in the insurance market

This paper extends the analysis of optimal income taxation under uncertainty studied by Cremer and Pestieau (International Tax and Public Finance, 3, 281–295, 1996). We introduce asymmetric information in the insurance market whereby private insurance companies cannot identify the risk probability of the agents, and we examine its effect on public policy. We consider the separating equilibrium of Rothschild and Stiglitz (Quarterly Journal of Economics, 90, 629–649, 1976) and Riley (Econometrica, 47, 331–359, 1979) where the low risk agent is only partially insured. The presence of the distortion in the insurance market changes the affinity of labor, and in some cases, we show that the scope of redistribution and the resulting social welfare are higher under asymmetric information than under full information. We also show that the increase in social insurance affects the utility and labor incentive of the low risk type by relaxing the self-selection constraint in the insurance market. The policy implications of the redistributive taxation and social insurance are analytically and numerically examined.      

“Skewness and Stock Option Prices”, Hans Gerber and Bruno Landry,July 1997

We determine the optimal amount of life insurance for a household of two wage earners. We consider the simple case of exponential utility, thereby removing wealth as a factor in buying life insurance, while retaining the relationship among life insurance, income, and the probability of dying and thus losing that income. For insurance purchased via a single premium or premium payable continuously, we explicitly determine the optimal death benefit. We show that if the premium is determined to target a specific probability of loss per policy, then the rates of consumption are identical under single premium or continuously payable premium. Thus, not only is equivalence of consumption achieved for the households under the two premium schemes, it is also obtained for the insurance company in the sense of equivalence of loss probabilities.     

How Does Information Disclosure Affect Bank Systemic Risk in the Presence of a Deposit Insurance System?

ABSTRACT

This article establishes a dynamic game with incomplete information to theoretically analyze the influence mechanism of information disclosure on systemic risk in the presence of a deposit insurance system. To verify the mechanism, we use panel data on 247 global banks in 41 countries during the period 2006 to 2015 in an empirical analysis. Our article finds that a high degree of information disclosure can reduce deposit insurance premiums and weaken the negative incentive from a bailout by regulatory authorities. Moreover, the effect of deposit insurance on financial stability is not apparent, but the synergistic effect of deposit insurance and information disclosure reduces bank systemic risk. Furthermore, different deposit insurance designs affect bank behavior, so it is crucial for bank supervisors to create proper deposit insurance systems, which are helpful in strengthening market discipline and preventing moral hazard thus contributing to a stable financial environment. Therefore, under the deposit insurance system, regulatory authorities should strive to improve the standard of information disclosure to ensure systemic stability.     

Disability Insurance: Theoretical Trade-Offs and Empirical Evidence*

Disability insurance provides protection against health shocks that limit the ability to work. In most countries, these programmes are large and growing, both in expenditure and in number of recipients. We discuss the traditional trade-off between insurance and incentives in providing this insurance, with a focus on the US and UK experiences. There is substantial evidence on the extent of the labour supply incentive costs of disability insurance, but there has been a lack of evidence on the insurance value until very recently. Further, evidence on errors in the disability insurance process suggests false rejections of genuine claimants is a substantial problem, and these are more serious than false acceptances of healthy applicants. We provide a life-cycle framework for understanding the trade-offs and to evaluate the welfare implications of policy reforms. We argue that reforms should be focused on reducing false rejections and supporting labour market attachment. The difficulty in considering reform is that the design of disability insurance has many aspects that interact and impact on outcomes.     

Leverage,executive incentives and corporate governance

This paper analyses the effect of executive incentives and internal governance on capital structure. Using a large sample of non‐financial US‐listed firms over the period 1999–2005, it is found that managers have different attitudes towards leverage when offered different incentive schemes; leverage initially decreases in bonuses and stock incentives and then increases in these incentives after a certain incentive level, suggesting the existence of the entrenchment–alignment effects under these incentive schemes. In contrast, leverage initially increases in option incentives and then decreases after a certain option incentive level. When all of these incentive schemes are combined together into a single incentive package, the entrenchment–alignment effects prevail. It is also found that leverage increases in internal governance and managers behave differently under different governance regimes such that the entrenchment–alignment effects prevail under weak governance firms, whereas the alignment–entrenchment effects prevail under strong governance firms. The results also suggest that managers’ target leverage ratio is less than the one predicted by theory or preferred by firm shareholders.     

An analysis of changes to a team-based incentive plan and its effects on productivity,product quality,and absenteeism

Using data from three production units of a large manufacturing plant that employs production teams in its assembly operations, this paper examines how changes made to an existing team-based incentive plan affects labor productivity, product quality, and worker absenteeism. The firm switched from a piece-rates contract and an attendance bonus and instituted a two tier incentive plan comprising two different but complementary performance-based bonus schemes: one tier based on individual team performance and the other tier on plant-wide performance. The incentives were introduced concurrently with management control initiatives intended to facilitate cooperation and monitoring among the teams. I find significant productivity gains and improvements in quality and absenteeism associated with the new incentive plan. These findings underscore two important points that have not been emphasized in existing empirical studies of incentive pay: incentive contracts for teams generate superior performance using combination of incentives, and the need to introduce organizational changes to facilitate cooperation and peer monitoring in tandem with incentive pay to capture greater incentive effects in team production.     

Delegation and dynamic incentives

Using an agency model, we show how delegation, by generating additional private information, improves dynamic incentives under limited commitment. It circumvents ratchet effects and facilitates the revelation of persistent private information through two effects: a play‐hardball effect, which mitigates an efficient agent's ratchet incentive, and a carrot effect which reduces an inefficient agent's take‐the‐money‐and‐run incentive. Although delegation entails a loss of control, it is optimal when uncertainty about operational efficiency is large. Moreover, delegation is more effective with production complementarity. We also consider different modes of commitment to yield insights into optimal organizational boundaries.     

Optimal insurance contracts when establishing the amount of losses is costly

The problem of establishing the amount of losses covered by public and private insurance is often characterized by asymmetric information, in which the claimant already knows the extent of a loss but this can be demonstrated to the insurer only at a cost. It is shown that a simple arrangement, which provides greater coverage whenever individuals demonstrate high losses, gives claimants an excessive incentive to establish the amount of their losses. This paper determines what insurance claims process, consistent with the form typically employed in existing insurance arrangements, is optimal.     

Deposit insurance, bank regulation, and financial system risks

Empirical evidence is presented to show that in modern times banks can hedge liquidity shocks but could not do so prior to FDIC insurance. However, the government's limitations in properly pricing FDIC insurance are leading to many current examples of moral hazard. A model is presented to show that if insurance premiums are set to be “actuarially fair,” incentives for banks to take excessive systematic risks remain. Motivated by empirical evidence that money market mutual funds also can hedge liquidity shocks, I consider an alternative government insurance system that mitigates distortions to risk-taking yet preserves liquidity hedging and information synergies.     

Ex Post Moral Hazard and Bayesian Learning in Insurance

We study a dynamic insurance market with asymmetric information and ex post moral hazard. In our model, the insurance buyer's risk type is unknown to the insurer; moreover, the buyer has the option of not reporting losses. The insurer sets premia according to the buyer's experience rating, computed via Bayesian estimation based on buyer's history of reported claims. Accordingly, the buyer has strategic incentive to withhold information about losses. We construct an insurance market information equilibrium model and show that a variety of reporting strategies are possible. The results are illustrated with explicit computations in a two‐period risk‐neutral case study.     

Environmental Regulations and Social Norms

The evidence suggests that a surprisingly large number of firms comply with pollution standards even though expected penalties for non-compliance are quite low. This paper establishes an environmental social norm model that embodies collective environmental actions among firms. It provides a plausible explanation for these puzzling empirical findings. In this social norm framework, we also explore how the extrinsic pricing incentive affects the intrinsic environmental morale among firms. By taking into account the crowding-out effect of pricing incentives, we show that pollution taxes may not be an effective tool in fighting pollution.     

Fraud Classification Using Principal Component Analysis of RIDITs

This article introduces to the statistical and insurance literature a mathematical technique for an a priori classification of objects when no training sample exists for which the exact correct group membership is known. The article also provides an example of the empirical application of the methodology to fraud detection for bodily injury claims in automobile insurance. With this technique, principal component analysis of RIDIT scores (PRIDIT), an insurance fraud detector can reduce uncertainty and increase the chances of targeting the appropriate claims so that an organization will be more likely to allocate investigative resources efficiently to uncover insurance fraud. In addition, other (exogenous) empirical models can be validated relative to the PRIDIT‐derived weights for optimal ranking of fraud/nonfraud claims and/or profiling. The technique at once gives measures of the individual fraud indicator variables’ worth and a measure of individual claim file suspicion level for the entire claim file that can be used to cogently direct further fraud investigation resources. Moreover, the technique does so at a lower cost than utilizing human insurance investigators, or insurance adjusters, but with similar outcomes. More generally, this technique is applicable to other commonly encountered managerial settings in which a large number of assignment decisions are made subjectively based on ‘‘clues,‘’ which may change dramatically over time. This article explores the application of these techniques to injury insurance claims for automobile bodily injury in detail.