Loan growth and riskiness of banks

We investigate whether loan growth affects the riskiness of individual banks in 16 major countries. Using Bankscope data from more than 16,000 individual banks during 1997–2007, we test three hypotheses on the relation between abnormal loan growth and asset risk, bank profitability, and bank solvency. We find that loan growth leads to an increase in loan loss provisions during the subsequent three years, to a decrease in relative interest income, and to lower capital ratios. Further analyses show that loan growth also has a negative impact on the risk-adjusted interest income. These results suggest that loan growth represents an important driver of the riskiness of banks.     

Using thermodynamic availability to determine the energy of explosion for compressed gases

This paper expands on the work of Crowl [1] by using thermodynamic availability to calculate the energy of explosion for compressed gases. The results show that thermodynamic availability is a completely general approach, including effects due to chemical reaction and mechanical expansion. For the case of a non-reactive gas, a general equation is presented to determine the energy of explosion due to mechanical expansion of the gas. The energy determined using availability is much less than the energy determined assuming an isothermal expansion and usually much more than the energy determined assuming an isentropic expansion. Since availability is a state function, the energy determined is independent of the path.     

Impact of diversification on the distribution of stock returns: International evidence

In the past, stock returns are often assumed to be normally distributed. Potential gains from international portfolio diversification are thus based on a mean-variance framework. However, numerous empirical results reveal that stock returns are actually not normally distributed. Although previous studies found that both skewness and kurtosis can be rapidly diversified away, these results are only valid for a random sample of a given portfolio size. This paper studies the joint effect of diversification and intervaling on the skewness and kurtosis of eleven international stock market indexes with a holding period spanning from one to six months. A complete set of all possible combinations of portfolios is used. It is found that diversification does not reduce either skewness or kurtosis. As the portfolio size increases, portfolio returns become more negatively skewed and more leptokurtic. As a result, a rational investor may not gain from international diversification.     

Inventory buffers in recoverable manufacturing

Recoverable manufacturing is becoming an increasingly important alternative to firms as they develop environmentally sound strategies aimed at minimizing waste and resources. It helps minimize costs and conserve resources through methods such as extending product life cycles via remanufacturing which uses only a fraction of the resources and energy associated with a new product. In this study the creation and location of inventory buffers (delay buffers) and their impact on other managerial operating decisions is examined in the context of a remanufacturing environment. It is shown that inventory buffer decisions are significantly impacted by the method used to release parts from the disassembly stage to the remanufacturing stage within the remanufacturing environment. Based on observations and on discussions with managers in remanufacturing facilities several managerial propositions are stated. These propositions are examined, via a simulation model of an operating facility, and recommendations as to the inventory buffer to use in conjunction with the disassembly release policy (for parts) are made for the remanufacturing environment.     

MGARCH models: Trade-off between feasibility and flexibility

Multivariate GARCH (MGARCH) models need to be restricted so that their estimation is feasible in large systems and so that the covariance stationarity and positive definiteness of conditional covariance matrices are guaranteed. This paper analyzes the limitations of some of the popular restricted parametric MGARCH models that are often used to represent the dynamics observed in real systems of financial returns. These limitations are illustrated using simulated data generated by general VECH models of different dimensions in which volatilities and correlations are interrelated. We show that the restrictions imposed by the BEKK model are very unrealistic, generating potentially misleading forecasts of conditional correlations. On the other hand, models based on the DCC specification provide appropriate forecasts. Alternative estimators of the parameters are important in order to simplify the computations, and do not have implications for the estimates of conditional correlations. The implications of the restrictions imposed by the different specifications of MGARCH models considered are illustrated by forecasting the volatilities and correlations of a five-dimensional system of exchange rate returns.     

Using DEA for measuring teachers’ performance and the impact on students’ outcomes: evidence for Spain

This research contributes to the ongoing debate about differences in teachers’ performance. We introduce a new methodology that combines production frontier and impact evaluation insights that allows using DEA as an identification strategy of a treatment with high and low quality teachers within schools to assess their performance. We use a unique database of primary schools in Spain that, for every school, supplies information on two classrooms at 4th grade where students and teachers were randomly assigned into the two classrooms. We find considerable differences in teachers’ efficiency across schools with significant effects on students’ achievement. In line with previous findings, we find that neither teacher experience nor academic training explains teachers’ efficiency. Conversely, being a female teacher, having worked five or more years in the same school or having smaller class sizes positively affects the performance of teachers.     

Increasing the skill utilization of expatriates

This article examines the utilization, underutilization, and misutilization of expatriate skills in overseas assignments. Using quantitative data from 268 expatriates from six Fortune 500 multinational corporations, the research first examines expatriates' utilization of eight distinct skills and how patterns of skill utilization influence important job attitudes. Then, using qualitative data from the expatriates, the research examines the subsidiary‐level, corporate‐level, and country‐ level factors which facilitate (or inhibit) skill utilization. The study highlights the idea that effective skill utilization depends not only on the selection and training of expatriates themselves, but also upon the level of skill and teamwork among host country nationals and the quality of support provided by the MNC as a whole. © 2000 John Wiley & Sons, Inc.     

Management of reengineering knowledge: AI‐based approaches

Knowledge about ‘best practices’ for reengineering can be critical to a firm's ability to evolve and respond to competition. As a result, this paper addresses the issue of how to manage reengineering knowledge. Multiple forms of knowledge representation are adapted to address two primary issues: When and what should a firm reengineer? Four different knowledge‐based models and prototypes are developed to illustrate capture of particular types of reengineering knowledge. The prototypes are used to draw inferences about issues in knowledge management and to illustrate feasibility. Distribution of best practices reengineering knowledge can then be accomplished using knowledge servers or making software and knowledge bases available to download off the world wide web. Copyright © 2000 John Wiley & Sons, Ltd.     

Mixed MNL models for discrete response

This paper considers mixed, or random coefficients, multinomial logit (MMNL) models for discrete response, and establishes the following results. Under mild regularity conditions, any discrete choice model derived from random utility maximization has choice probabilities that can be approximated as closely as one pleases by a MMNL model. Practical estimation of a parametric mixing family can be carried out by Maximum Simulated Likelihood Estimation or Method of Simulated Moments, and easily computed instruments are provided that make the latter procedure fairly efficient. The adequacy of a mixing specification can be tested simply as an omitted variable test with appropriately defined artificial variables. An application to a problem of demand for alternative vehicles shows that MMNL provides a flexible and computationally practical approach to discrete response analysis. Copyright © 2000 John Wiley & Sons, Ltd.