Supplier Financing and Earnings Quality

In this paper we investigate the effect of earnings quality on supplier credit in a sample of small and medium‐sized firms. After controlling for other determinants of trade credit, we show that firms whose earnings present lower variability, higher smoothing and predictability, and higher accruals quality have access to more trade credit from suppliers. This association suggests that earnings attributes associated to lower volatility and higher precision with respect to cash flows facilitate access to trade credit.     

Consumers’ response to the EU Quality policy allowing for heterogeneous preferences

Using dry-cured ham as an anchor product, consumers’ preferences for EU Quality Certification schemes, region of origin and price have been investigated with conjoint analysis. In order to achieve this aim, a mixed rank-ordered logit which allows for the investigation of heterogeneous preferences and their sources has been estimated. In particular, we have analysed to what extent consumers’ socio-demographic traits affect their price-sensitiveness and whether consumers’ sensory (hedonic) valuations and attitudes towards ham with a Protected Designation of Origin (PDO) affect the preferences for specific attributes. Results show that consumers with a low-medium age and income are more price sensitive. Consumers more inclined sensorially towards the regional specialty (with or without PDO) are more likely to purchase this product, and consumers with a more favourable attitude towards PDO ham are also more prone to purchase cured ham with quality certification. Findings also suggest that although the PDO scheme attracts a segment of consumers, the origin by itself is still a more powerful signal of quality, and more specifically the region of origin.     

Business Cycle Synchronization between Euro Area and Central and Eastern European Countries

We analyze the degree of co‐movements in real macroeconomic aggregates across selected euro area and Central and Eastern European (CEE) countries applying a multi‐factor model. Our results suggest that the evolution of the global European factor matches well the narrative of main economic events between 1995 and 2011, capturing among others the recession during the recent global financial and economic crisis. This factor plays a central role in explaining real output growth variability in euro area and is negligible in CEE countries. Furthermore, using Markov switching models and concordance indices, we shed light on an increase in business cycle synchronization, with the degree of concordance between country‐specific and European business cycles being high.     

Start-up Capital, Microenterprises and Technical Efficiency in Mexico

Access to adequate start‐up capital has been identified as an important deterrent to microenteprise development and growth. Using firm level data from Mexico's National Survey of Microenterprises, we estimate a stochastic frontier production function with inefficiency effects related to the main sources of start‐up capital. Microenterprises utilizing bank loans, carryover business capital, moneylenders and credit from clients and suppliers are more technically efficient than those relying on family, friends and on own financial sources. Bank loans led to the highest degree of technical efficiency, indicating a well‐functioning screening process despite information asymmetries. Banks tend to offer the largest average loan size with the longest terms which are significant factors in allowing microentrepreneurs to overcome financing constraints.     

Has the ECB’s monetary policy prompted companies to invest,or pay dividends?

This paper focuses on the influence of the European Central Bank’s (ECB) monetary policies on non-financial firms. It sheds light on non-financial firms’ decisions regarding leverage, and on how the ECB’s conventional and unconventional policies may have affected them. The paper also examines how these policies influenced non-financial firms’ decisions on capital allocation – primarily capital spending and shareholder distribution (for example, dividends and share repurchases). We use an exhaustive and unique dataset comprised of income statements and balance sheets of leading non-financial firms operating in the European Economic and Monetary Union (EMU). The main results suggest that ECB’s monetary policies have encouraged firms to raise their debt burden, especially after the global recession of 2008. Finally, the ECB’s policies, especially after 2011, also seem to have led non-financial firms to allocate more resources not just to capital spending but to shareholder distribution as well.     

The Role of Anticipated Emotions in Purchase Intentions

Key personal inputs to decision making reside in expectations about whether a purchase or nonpurchase will make one feel better. Integrating several theoretical approaches, this research proposes a holistic framework formed by four kinds of anticipated emotions (AEs) resulting from the crossing of positive‐ or negative‐valenced emotions with action or inaction. Specifically, this research proposes that consumers under a purchase scenario tend to consider positive and negative AEs of both purchase and nonpurchase in their decisions. Research in this area to date has been sparse and focused mostly on AEs with regard to purchase, but not nonpurchase. The results of four studies confirm that AEs influence purchase decisions in a coordinated way depending on their instrumentality, motivating purchase or nonpurchase. AEs also partially mediate the effect of outcome valence on purchase decisions. Taking the status quo bias as a theoretical basis, this work proposes that the amount of information of favorable and unfavorable outcome messages has a greater influence on AEs motivating purchase than AEs motivating nonpurchase. Finally, future research lines are proposed to expand the use of this fourfold framework and more generally to understand the role of forward‐looking emotions in decision processes.     

International Evidence on Risk Taking by Banks Around the Global Financial Crisis

This study models the risks of commercial banks from the United States and developed, emerging, and frontier countries while controlling for bank- and country-specific variables within a panel framework. Bank risk is measured by both the traditional Z-score and a composite bank risk index proposed by the authors. The findings suggest that even though the riskiness of all banks from different country groups increased following the financial crisis, the magnitude of the change is not the same across groups. During the post-crisis period, banks in developed, emerging, and frontier countries experienced a smaller increase in their risk compared to their counterparts in the United States. This article provides support for the claim that banks in emerging and frontier countries have experienced the effects of the financial crisis to a lesser extent compared to those in the United States.     

Analysing the correlation between social network analysis measures and performance of students in social network-based engineering education

Social network-based engineering education (SNEE) is designed and implemented as a model of Education 3.0 paradigm. SNEE represents a new learning methodology, which is based on the concept of social networks and represents an extended model of project-led education. The concept of social networks was applied in the real-life experiment, considering two different dimensions: (1) to organize the education process as a social network-based process; and (2) to analyze the students’ interactions in the context of evaluation of the students learning performance. The objective of this paper is to present a new model for students evaluation based on their behavior during the course and its validation in comparison with the traditional model of students’ evaluation. The validation of the new evaluation model is made through an analysis of the correlation between social network analysis measures (degree centrality, closeness centrality, betweenness centrality, eigenvector centrality, and average tie strength) and the grades obtained by students (grades for quality of work, grades for volume of work, grades for diversity of work, and final grades) in a social network-based engineering education. The main finding is that the obtained correlation results can be used to make the process of the students’ performance evaluation based on students interactions (behavior) analysis, to make the evaluation partially automatic, increasing the objectivity and productivity of teachers and allowing a more scalable process of evaluation. The results also contribute to the behavioural theory of learning performance evaluation. More specific findings related to the correlation analysis are: (1) the more different interactions a student had (degree centrality) and the more frequently the student was between the interaction paths of other students (betweenness centrality), the better was the quality of the work; (2) all five social network measures had a positive and strong correlation with the grade for volume of work and with the final grades; and (3) a student with high average tie strength had a higher grade for diversity of work than those with low ties.