Discretionary Accruals and Auditor Behaviour in Code-Law Contexts: An Application to Failing Spanish Firms

This study examines the relationship between earnings management and auditor behaviour in the pre-bankrupt client segment of the Spanish audit market. As proxies for auditor behaviour, we use type of audit firm (Big N/non-Big N) and type of audit report. In contrast to the USA, audit reports in Spain often include modifications other than a going-concern opinion. This allows us to study the relationship in more detail than is possible with US data. The results of our study show that discretionary accruals are negatively related to going-concern opinions but are positively related to reports modified for reasons other than going-concern problems. However, unlike Butler et al. (Journal of Accounting and Economics, 37, pp. 139–165, 2004) the negative relationship is explained not by liquidity survival tactics but by auditor conservatism. We find this conservatism not only in the value of discretionary accruals but also in the qualifications that accompany a going concern. In these cases GAAP violations have a much greater income effect and a stronger relationship with the reversal of manipulation accumulated over the years than with the manipulation introduced during the last year. Finally, our results suggest that Big N differentiation in a code-law country is context-specific and depends on the business risk parameter of the ‘audit risk model’. In particular, for high-risk firms, Big N auditors show a significantly lower level of discretionary accruals and a greater propensity to issue a going-concern opinion.     

Modelling regional policy scenarios in the agri-food sector: a case study of a Spanish region

The agri-food industry has several features of great importance for sustainable economic growth in rural areas. The objective of this work is to evaluate the effects associated with different scenarios of growth, and changes in the regional agri-food industry. These scenarios simulate changes in exports and imports, changes in technology and changes in the level of industrial integration. We develop a computable general equilibrium model calibrated for the region. Our results indicate that policies trying to improve the competitiveness and dynamism of strategic sectors as the agro-industrial complex in this regional economy exert positive effects on its growth and income, having notable impacts on local job markets but also in other sectors and activities linked through the whole production chain.     

Measuring Corporate Environmental Performance: A Methodology for Sustainable Development

Assessing corporate environmental performance (CEP) that is both comprehensive and consistent with sustainable development both for society and companies, while at the same time taking heed of the facts and interests of each stakeholder, is not a simple feat. Due to the multidimensional character of the sustainability concept, several questions must be considered in the evaluation process: (i) the qualitative nature of indicators and the complexity of developing a synthetic index; (ii) the difficulty of choosing properly statistical techniques for aggregation and (iii) the difficulty of introducing stakeholders’ preferences in the assessment models. This paper is an attempt to address this challenge by developing a framework for the assessment of CEP, based on the application of a fuzzy multi‐criterion decision‐making (MCDM) method. To achieve positive scores in a CEP assessment, an organization should be strategically committed and engage in environmental management and governance structures that are translated into good results in terms of both engagement and operational performance. Unless such premises are explicitly incorporated into the assessment criteria, the results would reveal that the CEP measurement could not be brought into a line with an earnest ambition of achieving true sustainable development. Copyright © 2015 John Wiley & Sons, Ltd and ERP Environment     

Co‐movements in commodity prices: a note based on network analysis

This article analyses co‐movements in a wide group of commodity prices during the time period 1992–2010. Our methodological approach is based on the correlation matrix and the networks inside. Through this approach we are able to summarize global interaction and interdependence, capturing the existing heterogeneity in the degrees of synchronization between commodity prices. Our results produce two main findings: (a) we do not observe a persistent increase in the degree of co‐movement of the commodity prices in our time sample, however from mid‐2008 to the end of 2009 co‐movements almost doubled when compared with the average correlation; (b) we observe three groups of commodities which have exhibited similar price dynamics (metals, oil and grains, and oilseeds) and which have increased their degree of co‐movement during the sampled period.     

Retailers’ Price Positioning and the Motivational Profiling of Store‐Brand Shoppers: The Case of Spain

In recent years, retailers have worked to advance store‐brand strategies, leading to greater success and higher congruence with the retailer's positioning. In this new competitive context, this research aims to characterize store‐brand shoppers in terms of motivation and benefits sought, as well as analyze, on the basis of congruence theory, the moderating role of a retailer's price positioning on store‐brand shopper characterizations. The empirical study combines survey and household panel information related to leading retailers in Spain; the findings reveal that store‐brand shoppers are motivated by their price sensitivity, whereas they are less sensitive to service quality and name brands. However, the retailer's price positioning exerts a moderating effect on shopper profiles: In less price‐oriented retail chains, store‐brand purchases seem motivated less by price and more by quality, brand awareness, and brand reputation.     

Influence of Social Media over the Stock Market

This research analyzes investors’ activity through social media and these media's influence over the Chicago Board Options Exchange Market Volatility Index (VIX) using a logit model and a fuzzy‐set qualitative comparative analysis (fsQCA). The logit results show that social media sentiment influences stock markets. Meanwhile, the fsQCA results show that the investors’ profile is important for explaining how social media influence the stock market. Particularly, holding period combined with experience in technical investors contributes to avoiding a raise in market risk, whereas for nontechnical investors message sentiment and experience form the combination that contributes to avoid a raise in market risk.     

FROM INSTITUTIONS TO FINANCIAL DEVELOPMENT AND GROWTH: WHAT ARE THE LINKS?

This paper presents an integrated overview of the literature linking institutions, financial development, and economic growth. From the large body of research on institutional development, the paper first selects those contributions that make it possible to study the role of institutional arrangements in ameliorating/worsening the information frictions and transaction costs that characterize the development of financial markets. The paper then investigates the theoretical mechanisms by which these specific frictions affect economic growth and presents the stock of empirical evidence quantifying the impact of institutions on growth through financial development.     

Consumer morality in times of economic hardship: evidence from the European Social Survey

Crimes of everyday life, often referred to as unfair or unethical practices committed in the marketplace by those who see themselves and are seen as respectable citizens, have burgeoned as a result of the transformations in the European economy in the late 20th century, namely the transition to neo‐liberal markets and the emergence of consumer society. A ‘cornucopia of new criminal opportunities’ has given rise to a new range of crimes such as ripping software, making false insurance claims or paying cash on hand to circumvent taxes. These shady behaviours (legal or not) are part of people's experience, albeit they are collectively regarded as morally dubious. Taken collectively, crimes of everyday life are indicators of the moral stage of a particular society and therefore a valuable instrument for social and political analysis. This paper addresses the question of whether and under which conditions feelings of economic hardship trigger crimes of everyday life. A multilevel theoretical and empirical perspective that integrates theories stemming from political science, sociology, and social psychology is adopted. I start by exploring the embeddedness of economic morality in social institutions, followed by an elaboration of the concept of market anomie to account for deviant behaviour in the marketplace, to finally step down to the examination of the correspondence between social attitudes and consumer behaviour, as postulated by the Theory of Planned Behaviour. The empirical study relies on micro data from the European Social Survey (ESS) (Round 2) and attempts to model, for each country, a formative measure of crimes of everyday life based on socio‐demographic variables and the current economic situation, as it is perceived by the individual (taken as a measure of relative deprivation). The resultant country‐specific regression coefficients are mapped onto the broader economic and normative context of 23 European countries. The results reveal that crimes of everyday life are driven by feelings of economic hardship only in countries where normative factors dictate their deviance. In countries where fraudulent behaviour is more generalized, inner motivations to offend play a secondary role as the more privileged consumers are more likely to commit fraud as they interact more often with the market. In turn, normative aspects result from a dynamic interplay of cultural and economic factors. As the economy grows faster, the tendency to offend in the market becomes more visible, but only in countries whose gross domestic product (GDP) stands above the European average. In countries with low GDP, the normative landscape is shaped by cultural factors that seem to obfuscate the power of economic factors favourable to consumer fraud.     

The Internationalization of Spanish- and Portuguese-Speaking Banks

This article investigates which variables affect the location choice of banks from Spanish- and Portuguese-speaking countries in their process of internationalization. The article compares the differences in these variables for public and private banks. The sample consists of 141 banks operating in 58 countries. Results show that internationalization is undertaken by the largest banks, which preferably choose countries with similar language, close to the home country, and with the most opportunity for growth. Additionally, the effects of certain explanatory variables on the probability of expanding to a given country are different for public and private banks.     

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.