Distinctive characteristics of entities with an internal audit department and the association of the quality of such departments with errors*

Abstract. This research identifies those characteristics that could potentially influence a choice to create an internal audit department and tests via discriminant analysis to evaluate whether such attributes significantly distinguish between companies with and without an internal audit department. In addition, qualitative characteristics of such departments are described, as is the association of such traits with errors and the overall control environment. A sample of 260 companies is examined. Companies with internal audit departments are observed to be significantly larger, more highly regulated, more competitive, more profitable, more liquid, more conservative in accounting policies, more competent in their management and accounting personnel, and subject to better management controls. Key discriminant variables are the degree of regulation, decentralization, size, the duration of association with present auditors, the existence of an audit committee, EDP control, and pressures by external parties on management to achieve budgetary goals. Qualitative attributes of internal audit are systematically associated with the overall quality of the control environment, as well as errors. The most important attribute appears to be the independence of internal audit in terms of the propriety of the reporting level. An advantage of internal auditing is that external auditors report a 10 percent reduction in the number of hours incurred and greater flexibility appears to exist in the proportion of work performed in off-peak periods. Résumé. Les auteurs dressent l'inventaire des caractéristiques susceptibles d'influer sur le choix de créer un service de vérification interne et soumettent ces attributs à des tests, par voie d'analyse discriminante, afin de déterminer s'ils permettent d'établir une distinction claire entre les entreprises ayant et n'ayant pas de service de vérification interne. De plus, ils décrivent les caractéristiques qualitatives de ces services, de même que l'association de ces carctéristiques aux erreurs et au contexte global du contrôle. Les auteurs procèdent à l'examen d'un échantillon de 260 entreprises. L'étude révèle que les entreprises possédant des services de vérification interne sont beaucoup plus souvent des entreprises de grande taille, faisant l'objet d'une réglementation plus rigoureuse, plus concurrentielles, plus rentables, ayant davantage de liquidités, plus prudentes dans leurs conventions compatables, possédant une équipe de gestion et un personnel comptable plus compétents et soumises à de meilleurs contrôles de gestion. Les principales variables discriminantes sont le degré de réglementation, la décentralisation, la taille, la durée de l'association avec les vérificateurs actuels, l'existence d'un comité de vérification, le contrôle dans un cadre informatique et les pressions exercées par les tiers sur la direction pour l'atteinte des objectifs budgétaires. Les attributs qualitatifs de la vérification interne sont systématiquement asociés à la qualité globale du cadre de contrôle, de même qu'aux erreurs. L'attribut le plus important semble être le degré d'autonomie du service de vérification interne, c'est-à-dire le caractère approprié de ses liens hiérarchiques. La vérification interne comporte un avantage: les vérificateurs externes font état d'une réduction de 10 pour cent dans le nombre d'heures consacrées à la vérification, et il semble exister une plus grande souplesse dans la proportion du travail de vérification effectué en dehors des périodes de pointe.     

Bayesian MCMC Mapping of Quantitative Trait Loci in a Half-sib Design: a Graphical Model Perspective

Graphical models provide a powerful and flexible approach to the analysis of complex problems in genetics. While task-specific software may be extremely efficient for any particular analysis, it is often difficult to adapt to new computational challenges. By viewing these genetic applications in a more general framework, many problems can be handled by essentially the same software. This is advantageous in an area where fast methodological development is essential. Once a method has been fully developed and tested, problem-specific software may then be required. The aim of this paper is to illustrate the potential use of a graphical model approach to genetic analyses by taking a very simple and well-understood problem by way of example.     

A Cross‐national Comparison of R&D Expenditure Decisions: Tax Incentives and Financial Constraints*

We provide evidence on the impact of tax incentives and financial constraints on corporate R&D expenditure decisions. We contribute to extant research by comparing R&D expenditures in the United States and Canada, thereby exploiting the differences in the two countries' R&D tax credit mechanisms and generally accepted accounting principles. The two tax incentive mechanism designs are consistent with differing views of the degree of financial constraints faced by firms in these economies. Our sample also allows us to explore the effects of capitalizing R&D on Canadian firms. Employing a matched design, we document relations between tax credit incentives and R&D spending consistent with both Canadian and U.S. public companies responding as though they are not financially constrained. We estimate that the Canadian credit system induces, on average, $1.30 of additional R&D spending per dollar of taxes forgone while the U.S. system induces, on average, $2.96 of additional spending. We also find that firms that capitalize R&D costs in Canada spend, on average, 18 percent more on R&D. Collectively, this evidence is important to the ongoing debates in both countries concerning the appropriate design of incentives for R&D and is consistent with the assumptions found in the U.S. tax credit system, but not those found in the Canadian system.     

On the Statistical Significance of Event Effects on Unsystematic Volatility

We develop a method for determining the significance of the effect of a certain event (stock split, corporate restructuring, change in regulation, etc.) on unsystematic volatility of asset returns. Simulations show that the suggested tests reject the true null hypothesis of no effect on volatility at appropriate levels, whereas the rejection rates of a false null hypothesis increase with the magnitude of the effect. An application of the method to corporate spin‐offs reveals statistically significant and long‐lasting estimated increases in unsystematic volatility of parent companies' returns.     

ON ESTIMATING STOCK MARKET VOLATILITY: AN EXPLORATORY APPROACH

Traditional methods of estimating market volatility use daily return observations from a stock index to calculate monthly variance. We break with tradition and estimate stock market volatility using the daily, cross-sectional standard deviation of returns for all firms trading on the New York Stock Exchange and the American Stock Exchange. We find a significantly positive relation between risk and return. Market volatility is estimated to be about half the volatility level previously reported. The intraday, cross-sectional market volatility measure provides findings consistent with risk-return theory.     

MANAGING VENDOR INVENTORY IN A DUAL LEVEL DISTRIBUTION SYSTEM

Collaborative arrangements among members of the supply chain have received a great deal of interest in recent years as a means of reducing costs. One such arrangement is vendor managed inventory (VMI). VMI allows the vendor to make decisions concerning the quantity and timing of deliveries to the retailer. Such an arrangement offers the potential of a more efficient supply chain by removing the negative effects of retail ordering policies. A thorough review of the literature was conducted to identify factors likely to impact the performance of a VMI partnership. Computer simulation was used to study the effects of these factors from both the vendor's and retailer's perspectives. The results lend insight into the performance of VMI and guidance for managers as to the environments in which VMI is most effective.     

LOGISTICS OUTSOURCING RELATIONSHIPS: CUSTOMER PERSPECTIVES

This study attempts to infuse relationship marketing theory into the study of logistics outsourcing relationships. In particular, the study demonstrates that not all of the partnerships between customers and providers of third‐party logistics services are the same in terms of their level of development. The existence of distinct levels of partnership established previously in the logistics literature is partially supported and a relationship between level of partnership development and the customer perceptions of key relationship marketing elements and outcomes is established. While exploratory in nature, these findings suggest there are benefits for the increased costs of developing closer partnerships.