Do Small Banks have an Advantage in Lending? An Examination of Risk-Adjusted Yields on Business Loans at Large and Small Banks

Consolidation in the banking industry has sparked concern about the survival of small banks, particularly as it relates to the availability of credit to small businesses. However, if small banks have an advantage in processing credit information, compared to large banks, they should continue to survive in a competitive environment. We evaluate risk-adjusted commercial loan yields (gross yields less net charge-offs and the risk-free rate of return) at small and large banks for the period of 1996 through 2001. Our primary finding is that, after controlling for market concentration, cost of funds, and a variety of other factors that might influence yields, smaller banks earn greater risk-adjusted yields than larger banks. This result suggests that small banks make better choices from the available small business loans and is consistent with the notion that these banks have an information advantage in evaluating credit.     

Risk taking and failure in de novo savings and loans in the 1980s

This article examines failure rates in de novo S&Ls that initiated operations during the 1980–1986 period. Overall failure rates are similar to those for existing institutions but are found to vary significantly by location, time of charter, and organizational form. Both univariate tests and results from a probability-of-failure model indicate that inadequate capital, economic stress, poor management of higher risk lending allowed by broader powers, and operating inefficiencies contributed significantly to the likelihood of failure. Use of brokered funds and rapid asset growth are also significantly related to failure likelihood. Interestingly, for those S&Ls which eventually failed, rapid asset growth and high proportions of nonperforming assets actually delayed the timing of their failure. We interpret this to be the result of regulatory forbearance. We also find significant differences between the financial characteristics of de novo and non-de novo S&Ls.     

Transaction Costs and Cattle Marketing: The Information Content of Seller-Provided Presale Data at Bull Auctions

At sales of breeding bulls, prospective buyers have strong incentives to undertake presale measurement activities. To reduce these transaction costs, sellers often provide information on sale bulls. We examine the information content of two measures of the expected performance of the bulls and find that within a given herd, older, simpler measures of performance contain more information about prices (from buyers' perspectives) than newer, more sophisticated measures known as expected progeny differences, or EPDs. We also find, however, that buyers appear to pay considerable attention to annual changes in herd-average EPD values when comparing animals from different sellers.     

Non-parametric estimation of historical volatility

Evolving volatility is a dominant feature observed in most financial time series and a key parameter used in option pricing and many other financial risk analyses. A number of methods for non-parametric scale estimation are reviewed and assessed with regard to the stylized features of financial time series. A new non-parametric procedure for estimating historical volatility is proposed based on local maximum likelihood estimation for the t-distribution. The performance of this procedure is assessed using simulated and real price data and is found to be the best among estimators we consider. We propose that it replaces the moving variance historical volatility estimator.     

Age and leadership effectiveness: From the perceptions of the follower

This study analyzes age and leader effectiveness based on empirical research. The study findings support the policy of fair employment and promotional availability regardless of age. There is some evidence to suggest younger supervisors engage in more relationship-oriented activities than older supervisors, who may have less need for the relationships.     

Estimating the Structure of Market Reaction to News: Information Events and Lumber Futures Prices

We develop a new event-study technique, the distributional event response model (DERM), appropriate to relatively slowly evolving information events. We apply the model to twelve years of daily lumber futures prices and analyze the effects of three different types of information releases: ( a ) monthly housing starts estimates, ( b ) aperiodic administrative and judicial announcements about U.S.–Canada trade disputes, and ( c ) novel and unprecedented court decisions related to the Endangered Species Act (ESA). The information releases are different in ways that predict their relative speeds of impoundment in prices. We find that housing start events are absorbed more quickly than trade events, which are absorbed more quickly than ESA events.     

Robust covariance matrix estimation and identification of unusual data points: New tools

Most consistent estimators are prone to total breakdown in the presence of a handful of unusual data points (UDPs). This compromises inference. Robust estimation is a (seldom-used) solution; but methods commonly-used in applied research have severe drawbacks. In this paper, building upon methods that are relatively unknown outside of the robust statistics literature, we provide an enhanced tool for robust estimates of mean and covariance, useful both for robust estimation and for detection of unusual data points. It is relatively fast and useful for large data sets. We also provide a new robust cluster method, an input to our broader method, but also useful for standalone UDP detection or cluster analysis. We provide a comparative study of numerous methods that is not available in the current literature. Testing indicates that our method performs at par with, and often better than, two of the currently best available methods. We also demonstrate that the issues we discuss are not merely hypothetical, by applying our tools to real world data, and to re-examine two prominent economic studies. Our methods reveal that their central results are driven by a set of unusual points.     

A Knowledge–based Algorithm for the Internet Transmission Control Protocol (TCP)

Using a knowledge–based approach, the authors derive a protocol for the sequence transmission problem, which provides a high–level model of the Internet transmission control protocol (TCP). The knowledge–based protocol is correct for communication media where deletion and reordering errors may occur. Furthermore, it is shown that both sender and receiver eventually attain depth– n knowledge about the values of the messages for any n , but that common knowledge about the messages is not attainable.     

Auditor specialization, perceived audit quality, and audit fees in the local government audit market

Prior governmental research implies a positive relation between auditor specialization and audit quality, but the effect of specialization on audit fees is mixed. However, no single governmental study investigates the effect of auditor specialization on both audit quality and audit fees. Also, prior studies focus on either large- or small audit firms and often employ indirect proxies for audit quality. We study the effects of auditor specialization on perceived audit quality and audit fees. Our data represent both Big 5 and smaller audit firms and include three market-based measures of specialization. We survey 241 Florida local government finance directors and find that specialization is positively associated with perceived audit quality but not with audit fees. We also find that Big 5 auditors, often used as a proxy for higher audit quality in prior research, are not uniformly associated with increased perceived audit quality but consistently charge higher audit fees. Our results confirm a relation between measures of audit firm specialization and audit quality and raise questions regarding audit firm size and audit quality in the municipal sector. Our findings suggest that engaging specialized auditors may be good policy for many local governments.     

Managerial discretion and internal alignment under regulatory constraints and change

This paper investigates the effects of regulatory constraints and their relaxation on managerial discretion and internal fit in the context of the U.S. airline industry. Our results suggest that when managers' discretion is limited in one realm of choice, they compensate by using their greater level of discretion in some other arena to achieve internal fit. We show that the pursuit of fit matters, in the sense of having measurable efficiency consequences, and that fit trumps ‘best practice,’ at least in this context. In this respect, our findings provide a validation of the contingency perspective on internal fit. The ability to achieve fit under changing conditions may express a dynamic managerial capability necessary for adaptive organizational change. Copyright © 2007 John Wiley & Sons, Ltd.