Risk factors in Australian bond returns

This study examines the risk factors in Australian bond returns. The study quantifies bond liquidity and estimates a liquidity risk factor in the Australian setting. We develop a three‐factor asset pricing framework that uses term, default and liquidity risk factors to explain the variation of Australian bond returns. Our findings corroborate the US evidence on the pervasiveness of these risk factors faced by bond investors. The three‐factor model developed in this study has practical applications when calculating the cost of debt, evaluating the performance of an active bond fund manager and hedging underlying risk in a bond portfolio.     

The Euro Changeover and Numerical Intuition for Prices in the Old and New Currencies

This study examines how numerical intuition for prices in euros and in the Portuguese currency escudos developed in Portugal after the euro changeover. Estimates of prices of 40 different products were collected in the two currencies and at four different times from November 2001 to April 2004. The results regarding price estimates in euros were more in accordance with a relearning hypothesis considering that price estimates become progressively more accurate by a process that is related to purchase frequency. It was also suggested that this is a very slow process and that prices in the former currency are not simply forgotten. On the contrary, the escudos remained a general benchmark for an extended period. The results regarding estimated price intuition and use of intuition in estimating prices are also consistent with a slow adaptation process. Implications for future euro changeovers are discussed.     

Project Management of Production Line Automation: A Comparative Analysis of Project Management in Brazil and Colombia

This article aims to evaluate the production line automation projects developed by Brazilian and Colombian companies from the Project Management perspective, through the analysis of the application degree of PMBOK processes, to understand how formal techniques are being employed in these countries and also to identify improvement opportunities, when necessary. Data were collected through a survey. The similarity index between the ten processes, with the highest application degree in the Brazilian and Colombian samples, was 70%. For the processes with the lowest application degree, the similarity index was 60%. No similar study was found in the literature.     

Affective predictors of the effectiveness of training moderated by the cognitive complexity of expected competencies

Research in training, development and education (TD&E) in organizations has produced important results in the last two decades. Evaluation of TD&E has been a special focus of this research, which has resulted in the production of relevant predictive models. The present study has the aim of testing a model of effectiveness of training on work, with the trainee's motivation and satisfaction with training as the antecedent variables and the type of training as a moderator variable. Data collection with 600 participants in a Brazilian bank was conducted with measurement scales before training, at its end and three months later. The data were analyzed through structural equation modeling. The results indicate that the motivation of the trainee and satisfaction with training are predictors of its effectiveness on work and that the type of training affects this predictive relationship. The key feature of the type of training was the cognitive complexity of expected competencies.     

Parametric estimation of inefficiency in cargo handling in Spanish ports

Port workers services have been usually heavily regulated and reserved exclusively for a special kind of workers, dockworkers, which seems to have been the cause of serious inefficiencies worldwide. During the eighties, law reforms have been introduced to solve this problem. In this paper we analyze and decompose efficiency in cargo handling operations in 19 Spanish ports from 1990 to 1998. The method chosen is that of the parametric estimation of both allocative and technical inefficiency using panel data and a quadratic cost function. Results show that although inefficiency has decreased overall, there has been over utilization of labor regarding capital, and technical inefficiency. This supports the need of further consideration of other aspects including competition.

Count data stochastic frontier models, with an application to the patents–R&D relationship

This article introduces a new count data stochastic frontier model that researchers can use in order to study efficiency in production when the output variable is a count (so that its conditional distribution is discrete). We discuss parametric and nonparametric estimation of the model, and a Monte Carlo study is presented in order to evaluate the merits and applicability of the new model in small samples. Finally, we use the methods discussed in this article to estimate a production function for the number of patents awarded to a firm given expenditure on R&D.