Spatial Market Integration in the Presence of Threshold Effects

A large body of research has evaluated price linkages in spatially separate markets. Much recent research has applied models appropriate for nonstationary data. Such analyses have been criticized for their ignorance of transactions costs, which may inhibit price adjustments and thus affect tests of integration. This analysis utilizes threshold autoregression and cointegration models to account for a neutral band representing transactions costs. We evaluate daily price linkages among four corn and four soybean markets in North Carolina. Nonlinear impulse response functions are used to investigate dynamic patterns of adjustments to shocks. Our results confirm the presence of thresholds and indicate strong support for market integration, though adjustments following shocks may take many days to be complete. In every case, the threshold models suggest much faster adjustments in response to deviations from equilibrium than is the case when threshold behavior is ignored.     

Auditors' Conflict Management Styles: An Exploratory Study

This study explores the conflict management styles used by auditors when resolving disputes with clients concerning financial statement issues. Rahim's (1983a, 1990) ROCI–II conflict management instrument was used to establish both the styles generally used and also those used in a scenario concerning possible inventory obsolescence. Size of the client and the strength of its corporate governance mechanisms were manipulated in the scenario. It was found that auditors indicate that they primarily use the integrating style to resolve disputes. The compromising and dominating styles are used to a lesser extent while the obliging and avoiding styles are rarely used. Partners are more likely than managers to use more assertive styles of conflict management. The size of the client and the strength of corporate governance mechanisms in place have a significant but relatively minor impact on the choice of styles. The study also identifies the parties whom the auditor would expect to help resolve the dispute. It was found that, when resolving a dispute with the client's chief financial officer, the audit committee is perceived to give the most assistance, followed by the chief executive of icer.     

An empirical investigation of earnings restatements by Australian firms

From 1970 to 2003, we document earnings restatements for the top 500 Australian firms, examine the characteristics of restating firms, and test whether restatements are value relevant. Of the 195 earnings restatements, 49 per cent decrease prior‐period earnings (negative restatements). Negative restatements are relatively larger than positive restatements. We identify three reasons for earnings restatements; namely, accounting policy changes, revision of estimates, and errors and unknown, and they comprise 49, 40 and 11 per cent of the sample, respectively. Restatement firms have higher growth opportunities and are smaller than non‐restating firms from the same industry. Restatements are generally negatively associated with market and non‐market value.     

Ethical concerns in grievance arbitration

Although the use of arbitration has become commonplace in the organizational world, the ethical issues surrounding arbitration have never been fully explored. The paper reviews ethical issues in arbitration, particularly in terms of forensic bias parallels, that may affect decision-making and make the arbitrator's decision questionable. Finally, the maintenance of fairness in the arbitration process, and the importance of an ethically acceptable system of organizational justice are also discussed.Robert A. Giacalone is Associate professor of Management Systems at the E. Claiborne Robins School of Business, University of Richmond. He is co-editor (with Paul Rosenfeld) ofImpression Management in the Organization (Erlbaum, 1989) andApplied Impression Management (Sage, 1991) and has authored papers on business ethics, organizational sabotage, exit interviewing, and impression management in organizational life. His work has appeared inHuman Relations, Business and Society Review, Journal of Business Ethics, andJournal of Social Psychology, as well as in a variety of other journals.James C. Goodwin is Professor of Management at the University of Richmond. He previously taught at the University of North Carolina and at Florida State University and served as a petroleum engineer with Chevron and Atlantic-Richfield. Dr. Goodwin is the author of numerous articles which have appeared in national and international journals.Martha L. Reiner is Assistant Professor of Management at the E. Claiborne Robins School of Business, University of Richmond. She received her Ph.D. in business and public policy. She has co-authored articles that appeared in theCalifornia Management Review and theNonprofit and Voluntary Sector Quarterly.The authors would like to thank Hinda Greyser Pollard for her insightful comments on a previous draft of this paper.     

Parametric and nonparametric statistical modelling of crop yield: implications for pricing crop insurance contracts

This article considers alternative methods to calculate the fair premium rate of crop insurance contracts based on county yields. The premium rate was calculated using parametric and nonparametric approaches to estimate the conditional agricultural yield density. These methods were applied to a data set of county yield provided by the Statistical and Geography Brazilian Institute (IBGE), for the period of 1990 through 2002, for soybean, corn and wheat, in the State of Paraná. In this article, we propose methodological alternatives to pricing crop insurance contracts resulting in more accurate premium rates in a situation of limited data.     

Stability in the inefficient use of forecasting systems: A case study in a supply chain company

Computer-based demand forecasting systems have been widely adopted in supply chain companies, but little research has studied how these systems are actually used in the forecasting process. We report the findings of a case study of demand forecasting in a pharmaceutical company over a 15-year period. At the start of the study, managers believed that they were making extensive use of their forecasting system that was marketed based on the accuracy of its advanced statistical methods. Yet most forecasts were obtained using the system’s facility for judgmentally overriding the automatic statistical forecasts. Carrying out the judgmental interventions involved considerable management effort as part of a sales & operations planning (S&OP) process, yet these often only served to reduce forecast accuracy. This study uses observations of the forecasting process, interviews with participants and data on the accuracy of forecasts to investigate why the managers continued to use non-normative forecasting practices for many years despite the potential economic benefits that could be achieved through change. The reasons for the longevity of these practices are examined both from the perspective of the individual forecaster and the organization as a whole.     

Product attributes for business markets: Implications for selling and sales management

This article offers a conceptual framework for classifying attributes of offerings in a business‐marketing context. Typologies on the nature of product‐related attributes and classification of industrial products are synthesized for viewing levels of product meaning. Repertory grid procedures first developed in clinical psychology and recently adapted for use in business settings are presented as an approach for eliciting salient/determinant attributes. Enhanced effectiveness of the classic industrial selling process is demonstrated along with implications for managing the sales force. © 2006 Wiley Periodicals, Inc.     

Determinants of endogenous price risk in corn and wheat futures markets

This analysis evaluates determinants of price variability in U.S. corn and wheat futures markets. The analysis is conducted in two segments. In the first segment, conditional heteroscedasticity models of price variability are estimated and used to examine the extent to which market conditions influence price variability. The second component of the analysis uses nonstructural vector autoregressive models to evaluate factors related to implied volatilities calculated from options premia. Our results indicate that corn and wheat price variability is significantly related to the ratio of use to stocks, futures market activity, and growing conditions. In addition, important seasonal and autoregressive effects are revealed. Our results provide an intuitive interpretation for GARCH and ARCH effects, which are often demonstrated for futures price data. © 2000 John Wiley & Sons, Inc. Jrl Fut Mark 20:753–774, 2000