Assessing ethical behaviours in the Spanish banking and insurance industries: evidence and challenges

This study aims to improve understanding of the ethical nature of the relations in two labour-intensive industries to facilitate the creation of an ethical culture. For this purpose, the authors first review literature related to the main influences on ethical behaviour, then perform an empirical analysis of those factors using a hierarchical stepwise regression of a database of 525 banking and insurance employees. Contrary to expectations, leadership has a less important effect on ethical behaviour than other organizational factors. The results reveal several implications for improving the management of ethical behaviour in these industries.     

Speed of Issuance,Lender Specialization,and the Rise of the 144A Debt Market

Using a large sample of convertible and straight debt issues in the public, 144A, and bank loan markets from 1991 to 2004, we find that the 144A market has risen largely at the expense of the nonshelf public market, the overwhelming majority of the 144A issues are subsequently registered, and straight debt issuers with the highest credit quality and transparency tend to use the shelf public market. Our findings suggest that firms’ preference for speed of issuance drives the growth of the 144A market, and banks and qualified institutional buyers have advantages over public lenders in handling credit risk and information asymmetry.     

Computing DSGE models with recursive preferences and stochastic volatility

This paper compares different solution methods for computing the equilibrium of dynamic stochastic general equilibrium (DSGE) models with recursive preferences such as those in Epstein and Zin, 1989, Epstein and Zin, 1991 and stochastic volatility. Models with these two features have recently become popular, but we know little about the best ways to implement them numerically. To fill this gap, we solve the stochastic neoclassical growth model with recursive preferences and stochastic volatility using four different approaches: second- and third-order perturbation, Chebyshev polynomials, and value function iteration. We document the performance of the methods in terms of computing time, implementation complexity, and accuracy. Our main finding is that perturbations are competitive in terms of accuracy with Chebyshev polynomials and value function iteration while being several orders of magnitude faster to run. Therefore, we conclude that perturbation methods are an attractive approach for computing this class of problems.     

Graph efficiency and productivity measures: an application to US agriculture

Hyperbolic measures of efficiency and productivity change with respect to a graph representation of production technology allow researchers to consider output and input dimensions simultaneously in measuring producer performance. Hyperbolic efficiency measures have been proposed, but empirical implementation has not followed, either in efficiency analysis or in productivity analysis. The objectives of this paper are to define hyperbolic performance measures on a graph representation of production technology, to motivate their use by stating some of their advantages over their radial counterparts, and to introduce a direct formulation to calculate them making use of Data Envelopment Analysis techniques. The ideas are illustrated by calculating hyperbolic efficiency and Malmquist productivity indexes for a US agricultural panel data set.     

Category management and consumer choice

This paper shows the results of an exploratory analysis of the structure of a complex product category: Wine. In complex categories, a usual strategy of consumers is the partitioning of alternatives into homogeneous subsets and the sequential eliminations of subsets until a product/brand is chosen from among few homogeneous alternatives in the last subset. To identify if there is such a kind of strategy and the product attributes involved is of great interest for the retailer. After a discussion of the different modelling alternatives of the choice process, the authors provide an application of the additive trees (ADDTREE) model to explore the hierarchical structure. The ADDTREE results provide a first overview of the competitive market structure of the wine category: competition becomes more intense as the wine category is partitioned by, first, the type of wine criteria and, second, the designation of origin (DO) criteria.     

Deposit insurance and bank risk-taking: Evidence from internal loan ratings

We analyze the effect of deposit insurance on the risk-taking behavior of banks in the context of a quasi-natural experiment using detailed credit registry data. Using the case of an emerging economy, Bolivia, which introduced a deposit insurance system during the sample period, we compare the risk-taking behavior of banks before and after the introduction of this system. We find that in the post-deposit insurance period, banks are more likely to initiate riskier loans (i.e., loans with worse internal ratings at origination). These loans carry higher interest rates and are associated with worse ex-post performance (i.e., they have higher default and delinquency rates). Banks do not seem to compensate for the extra risk by increasing collateral requirements or decreasing loan maturities. We also find evidence that the increase in risk-taking is due to the decrease in market discipline from large depositors. Finally, differences between large (too-big-to-fail) and small banks diminished in the post-deposit insurance period.     

Sustainability Development and the Quality of Assurance Reports: Empirical Evidence

There is a rising trend among companies to publish their sustainability or corporate social responsibility (CSR) reports. Assurance of these reports is a valuable voluntary tool to provide them with higher credibility. Nonetheless, the quality of assurance reports differs in practice and the objective of this paper is to provide evidence in this new area of research. Indeed, we are pioneers in developing an index to measure the quality of assurance reports. We choose the Spanish setting because it is the worldwide leading country as regards CSR reporting (KPMG, 2011; Sierra et al., 2012). We have found evidence on the determinants for CSR reporting posited by existing literature that have an impact on (a) the decision of companies to publish their CSR reports, (b) the decision to assure the CSR report or not and (c) the decision to hire the assurance services from an auditor or a consultant and the subsequent quality of the assurance report. Last but not least, our results from a sample of 161 CSR assurance reports evidence that assurance reports are of fairly acceptable quality, according to the index proposed. Furthermore, the value of the quality index is significantly higher if the assurance services are provided by an auditor (as opposed to a consultant) and if the CSR reporting company is larger. Copyright © 2012 John Wiley & Sons, Ltd and ERP Environment.     

Does involvement matter in online shopping satisfaction and trust?

Consumer involvement in online shopping can play a moderating role when explaining Web site effect on satisfaction and trust. This study proposes a set of hypotheses based on the Elaboration Likelihood Model (ELM) of persuasion, a conceptual model that explains the formation of individual attitudes that are prompted by central and peripheral cues. The model proposes the use of central signals when the buyer is highly involved and peripheral signals when the buyer is less involved. Nevertheless, the results of this study would suggest that these relationships are not so clearly defined in the case of online buying, which implies that certain assumptions associated with the ELM need to be revised to take the particularities of the online context into account. © 2011 Wiley Periodicals, Inc.     

Brazilian OFDI Determinants

Recently, the global economy assumed a new setting in which emerging economies began to make substantial investments in the international market. This study aimed to investigate the determinants of outward foreign direct investment from Brazil from 2002–2011. The proposed models developed included attractiveness of the host country, characteristics of home country, and firms’ strategies. The results corroborate the existing argumentations concerning adaptation of mainstream theory with respect to the realities of emerging economies. Brazilian multinationals do not internationalize their activities in pursuit of cost reduction, efficiency, or to explore new markets or natural resources of the host countries. Results show that Brazilian investments were attracted by the availability of skilled labor, openness of the host market, geographic proximity, improved financial conditions of Brazilian companies, and national companies’ strategy of reaffirmation and consolidation as global players.     

Unspoken demands for farm technology

For three years in Bolivia (2002–2005) the INNOVA Project finished researching several technologies for sustainable agriculture, started by earlier DFID-funded projects. Before INNOVA started critics suggested that these technologies should be discarded in favour of a demand survey. Instead, INNOVA kept the existing technologies, but judged the demand for them with several methods (CIAL, sondeo technology fair, and others). INNOVA found that there was demand for some of the technologies, but that a survey would have missed much of the demand, which is implicit. That is, people are not initially aware of all their problems or of all the possible solutions. Over the years, farmers made more specific, sophisticated demands on the technologies, which evolved as a result. Demand and supply of farm technology are like two sides of an unfolding conversation.