Variance analysis and linear contracts in agencies with distorted performance measures

This paper investigates the role of variance analysis procedures in aligning objectives under the condition of distorted performance measurement. A risk-neutral agency with linear contracts is analyzed, whereby the agent receives post-contract, pre-decision information on his productivity. If the performance measure is informative with respect to the agent’s marginal product concerning the principal’s objective, variance investigation can alleviate effort misallocation. These results carry over to a participative budgeting situation, but in this case the variance investigation procedures are less demanding.     

Making competition in health care work

Health care reform in the United States is on a collision course with economic reality. Most proposals focus on measures that will produce one-time cost savings by eliminating waste and inefficiency. But the right question to ask is how to achieve dramatic and sustained cost reductions over time. What will it take to foster entirely new approaches to disease prevention and treatment, whole new ways to deliver services, and more cost-effective facilities? The answer lies in the powerful lessons business has learned over the past two decades about the imperatives of competition. In industry after industry, the underlying dynamic is the same: competition compels companies to deliver constantly increasing value to customers. The fundamental driver of this continuous quality improvement and cost reduction is innovation. Without incentives to sustain innovation in health care, short-term cost savings will soon be overwhelmed by the desire to widen access, the growing health needs of an aging population, and the unwillingness of Americans to settle for anything less than the best treatments available. The misguided assumption underlying much of the debate about health care is that technology is the enemy. By assuming that technology drives up costs, reformers neglect the central importance of innovation or, worse yet, attempt to slow its pace. In fact, innovation, driven by rigorous competition, is the key to successful reform.     

Duality for pathwise superhedging in continuous time

Finance and Stochastics - We provide a model-free pricing–hedging duality in continuous time. For a frictionless market consisting of $d$  risky assets with continuous price...     

Pricing Reinsurance Contracts on FDIC Losses

This paper proposes a pricing model for the FDIC's reinsurance risk. We derive a closed‐form Weibull call option pricing model to price a call‐spread a reinsurer might sell to the FDIC. To obtain the risk‐neutral loss‐density necessary to price this call spread we risk‐neutralize a Weibull distributed FDIC annual losses by a tilting coefficient estimated from the traded call options on the BKX index. An application of the proposed approach yield reasonable reinsurance prices.     

Accounting for distress in bank mergers

Most bank merger studies do not control for hidden bailouts, which may lead to biased results. In this study we employ a unique data set of approximately 1000 mergers to analyze the determinants of bank mergers. We use undisclosed information on banks’ regulatory intervention history to distinguish between distressed and non-distressed mergers. Among merging banks, we find that improving financial profiles lower the likelihood of distressed mergers more than the likelihood of non-distressed mergers. The likelihood to acquire a bank is also reduced but less than the probability to be acquired. Both distressed and non-distressed mergers have worse CAMEL profiles than non-merging banks. Hence, non-distressed mergers may be motivated by the desire to forestall serious future financial distress and prevent regulatory intervention.