Best-performing US mutual fund families from 1993 to 2008: Evidence from a novel two-stage DEA model for efficiency decomposition

When analyzing relative performance, especially at the institutional level, the traditional data envelopment analysis (DEA) models do not recognize vastly different and important activities as separate functions and therefore cannot identify which function may be the main source of inefficiency. We propose a novel two-stage DEA model that decomposes the overall efficiency of a decision-making unit into two components and demonstrate its applicability by assessing the relative performance of 66 large mutual fund families in the US over the period 1993–2008. By decomposing the overall efficiency into operational management efficiency and portfolio management efficiency components, we reveal the best performers, the families that deteriorated in performance, and those that improved in their performance over the sample period. We also make frontier projections for poorly performing mutual fund families and highlight how the portfolio managers have managed their funds relative to the others during financial crisis periods.     

Bootstrapping the Box–Pierce Q test: A robust test of uncorrelatedness

This paper describes a test of the null hypothesis that the first K autocorrelations of a covariance stationary time series are zero in the presence of statistical dependence. The test is based on the Box–Pierce Q statistic with bootstrap-based P-values. The bootstrap is implemented using a double blocks-of-blocks procedure with prewhitening. The finite sample performance of the bootstrap Q   test is investigated by simulation. In our experiments, the performance is satisfactory for samples of n=500$n=500$. At this sample size, the differences between the empirical and nominal rejection probabilities are essentially eliminated.     

Severity of alcohol-related motor vehicle crashes in British Columbia: case - control study

The objective of the present study was to compare the injury severity and vehicle damage severity rates of alcohol-related crashes with rates of non-alcohol-related crashes in British Columbia (BC). Injury severity rates and vehicle damage severity rates were taken from 2002 Insurance Corporation of British Columbia traffic collision data. The data were computed in order to compare the differences in injury severity and vehicle damage severity rates of alcohol-related vs. non-alcohol-related motor vehicle crashes. Case - control methods were used in this study to analyse the risk of alcohol-related crashes compared to non-alcohol-related crashes in BC. Odds ratios (OR) and 95% CI were calculated to estimate relative risks. In the case - control analysis, the risk of fatal collision was increased for those drinking and driving compared with those driving sober (OR 4.70; 95% CI 3.15 - 7.01). Risk of injury collision was increased for those drinking and driving compared with those driving sober (OR 1.32; 95% CI 1.19 - 1.37). Importantly, the risk of vehicle damage severity was increased for those drinking and driving compared with those driving sober (write-off vehicle OR 4.24; 95% CI 3.70 - 4.86, severely damaged vehicles OR 1.98; 95% CI 1.77 - 2.21). The study reinforces existing literature to suggest that current evidence is sufficient to show an increased risk of injury and fatality to drivers and occupants in alcohol-related crashes. This paper not only emphasizes this well-known relationship, but also such consequences as increased vehicle damage severity. The connection between drinking and severity of motor vehicle crashes is popularly believed and has now received substantial scientific support. There is strong justification for injury prevention experts and policy-makers to step up motor vehicle crash injury prevention advocacy by implementing evidence-based policies to reduce rates of alcohol-impaired driving in the province of BC. Most unintentional injuries in BC are related to motor vehicle crashes. Significant improvements can be made in these statistics by: increasing the use of occupant protection (safety belt and child restraint seats); reducing alcohol-related injuries through multiple strategies including corrections in the physical environment, extensive enforcement of drinking and driving laws and health promotion/education.     

Long-term investment forecasting as the basis of the development strategy for the agroindustrial complex of the Northern region (by example of the Komi Republic)

The investment forecast in the strategic development of the agroindustrial complex of the Northern region using the Komi Republic as an example is considered. The prospects of the agroindustrial complex and its functioning peculiarities are analyzed. The multilevel classification characteristic of a long-term strategic development is determined. The estimated characteristic of the investment forecast of the strategic development of agribusiness with regard to the uncertainty of socioeconomic conditions is given. The assertion is substantiated that the long-term course of the investment activity guarantees solution of the complex problems of the long-term development of the agribusiness in the region.     

Interest Rate Uncertainty and the Financial Intermediary's Choice of Exposure

The financial intermediary's choice of operating as a broker with minimal risk exposure or as an asset-transformer with interest rate risk is modeled as a funds inventory decision made prior to the resolution of uncertainty regarding the borrowing or lending interest rates. It is shown that an increase in the interest rate uncertainty leads the intermediary to reduce its exposure, thereby offering decreased asset-transformation and more brokerage services. However, a stochastic increase in the interest rates leads to greater asset-transformation and less brokerage services.     

The joint replenishment and delivery scheduling of the one-warehouse, n-retailer system

We deal with the joint replenishment and delivery scheduling of the one-warehouse, n-retailer system in this paper. We suggest a more flexible policy for the joint replenishment and delivery scheduling of a warehouse compared with the existing researches. We introduce the mathematical model and two efficient algorithms for the joint replenishment and delivery scheduling of the warehouse. Subsequently, we develop the hybrid genetic algorithm (GA) and compare it with two efficient heuristic algorithms for extensive computational experiments. Further, we show the advantages of our GA in dealing easily with resource restrictions.     

Developing and assessing critical thinking skills in marketing students: The power of making explicit problem-solving processes

Applied research is a course that has been taught to develop and effectively assess critical thinking skills in marketing students. A modified version of the problem-solving model using explicit problem-solving processes is employed in the design of course material and delivery. Assessment data support students’ ability to critically think at both lower and higher levels. Assignments include creative and timely experiential exercises to reinforce important marketing concepts, encourage student interest, and develop critical thinking skills.     

Buy Local! Familiarity and Preferences for Extra Virgin Olive Oil of Italian Consumers

Over the last few years, the origin of the local product has played a central role in consumer choices. This study explores what Italian consumers want and look for when purchasing olive oil by combining a web-based survey and a perceived analysis technique. In particular, preferences for different olive oil attributes as well as the psychographic traits of respondents were revealed through a web-based questionnaire administered to Italian consumers (N = 179). From this questionnaire, respondents who indicated their availability to participate further underwent a preference test under blind conditions (N = 99). Respondents also did an expectation test based on the visual observation of the labels. Results showed that the majority of consumers considered local production, PDO and region as factors of highest importance in determining olive oil quality.