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Based on agency theory, this paper contributes to the literature by assessing the effects of Supervisory Board size, gender diversity, and multiple directorship on performance within the banking industry of the small island developing state: Curacao. The research made use of the data drawn from annual reports of locally generated banks and its subsidiaries. Results from linear regressions indicate a positive relationship between multiple directorship and bank performance, and a negative association between bank outcomes and both gender diversity and board size. According to these results, it is concluded that the legislation on corporate governance for credit institutions in Curacao should incorporate a maximum number of members on the board, as well as promote interlocking directorates and quotas by gender.

Corporate Social Responsibility (CSR) represents the ethical corporate behavior in relation to stakeholders to respond to their needs and expectations; however, it has been suggested that involving stakeholders in corporate management reduces the profit maximization and leads to losses. Thus, this paper intends to analyze theoretical and conceptual trends on stakeholders and CSR between 2012 and 2016 to contextualize their origin, characteristics, and perspectives. The systematic review methodology was followed, which stems from bibliometric analysis to identify patterns related with literature, impact studies, and theoreticalconceptual evolution. The results show that organizations must find a balance between their interests in profit and socially responsible practices through sustainable processes from the social, economic, and environmental perspectives.

The goal of this paper is to assess the resilience of Portuguese banks to the potential impact of the COVID-19 pandemic. For this purpose, diagnostic variables of 19 banks were selected and prioritized using linear ordering methods. This methodology allowed us to perform rankings of banks using six linear ordering methods and taking into account two weighting procedures and two variants of the diagnostic feature. The study was also supplemented by a sensitivity analysis and an optimization procedure aimed at identifying the optimal linear ordering method. The main results obtained show that the resilience of Portuguese banks is not evenly distributed among individual banks. These findings could be used by regulators to plan support measures for the most fragile banks.

The goal of this paper is to assess the resilience of Portuguese banks to the potential impact of the COVID-19 pandemic. For this purpose, diagnostic variables of 19 banks were selected and prioritized using linear ordering methods. This methodology allowed us to perform rankings of banks using six linear ordering methods and taking into account two weighting procedures and two variants of the diagnostic feature. The study was also supplemented by a sensitivity analysis and an optimization procedure aimed at identifying the optimal linear ordering method. The main results obtained show that the resilience of Portuguese banks is not evenly distributed among individual banks. These findings could be used by regulators to plan support measures for the most fragile banks.

The spread of the COVID-19 and the drop in oil prices caused financial turmoil during the first quarter of 2020. This paper aims to examine the relationship between the COVID-19 pandemic, oil prices, and the exchange rates to the U. S. dollar during that period in five emerging economies: two oil-importers and three oil-exporters. The results of the autoregressive distributed lag analyses reveal a positive co-movement between the fatality rates and the exchange rates of three of those countries. The study also found a negative relationship between oil prices and the exchange rates of the five countries.

This paper has the goal of analyzing the association between asymmetric information, measured by Corwin-Schultz bid ask spread estimator, and stock prices in the Brazilian stock market. Daily data from 64 corporations over a period of 10 years were examined using the Johansen-Fisher panel cointegration technique in order to assess the validity of asymmetric information measurements in shorter periods than in previous studies. The results indicate that asymmetric information anticipates stock prices over a period of up to two days in a theoretically consistent way. Future research may control the results via traditional finance variables.

This document aims to conduct a literature review in order to identify evolution and research trends in the area of neuromarketing. To achieve this objective, a science mapping approach was adopted. Science mapping is an innovative and appropriate tool used in systematic literature reviews by integrating bibliometrics and network analyses. In the case of this paper, an exploration of the Web of Science (WoS) and Scopus databases was carried out. The records obtained enabled the construction of the network of the most relevant documents in the field, which were categorized into “classical”, “structural”, and “recent”. This process allowed for the identification of three perspectives or research correlates. Additionally, it became evident that neuromarketing is still an immature and incipient area with a low degree of theoretical consensus.

This paper aims to analyse the influence of risk information disclosure on the accuracy of financial analysts’ earnings forecasts for the Spanish stock market. To do this, we performed a regression analysis with panel data on a sample comprised of non-financial firms listed on the Madrid Stock Exchange from 2010 to 2015. The results of the study show that risk information disclosed by firms does not help to reduce analysts’ uncertainty levels nor enable them to make more accurate forecasts of future profits. Furthermore, separately testing verified and unverified risk information disclosure confirms that there is no relationship between the risk information disclosed and the perception that analysts have on companies’ levels of risk.

This study is motivated by the importance of accurately predicting insolvency before it happens. The paper aims to develop an insolvency prediction model for Colombian firms with one, two and three years of anticipation through financial ratios, keeping sample structures and taking into account insolvency-related regulation. This research contributes to the literature because unlike many studies, it takes legislation into account, explains the different types of financial ratios, and uses boosting algorithms without biasing the sample. Data from 11,812 Colombian companies covering the period 2012-2016 was used. The results show accuracy above 70% for insolvency predic-tion with one, two and three years of anticipation.

The consumption of gifts is relevant and many commerce sales are carried out during traditional times of gift-giving, such as Christmas. The objective of this paper is to propose and validate a model that measures the influence of personal values in the act of gift giving, also considering the role of gender in these relationships. A survey was carried out on 1,085 consumers. Through structural equation modeling with partial least squares (SEM-PLS), it was verified that the gift giving act is influenced by five personal values: self-direction, hedonism, tradition, achievement, and power. The results show that personal values can be used to predict the behavior of gifting. This study integrates Gift-Giving Theory and Personal Values Theory to better understand consumer attitudes and behaviors.

This paper focuses on the relationship between imports, innovation and population agglomeration within regions in Colombia. The main aim is to identify the source of trade that shapes the relationship between innovation and agglomeration, by distinguishing imports ac-cording to levels of technological intensity. This study attempts to bridge two factors that have been studied separately: trade on the one hand; science, technology and innovation activity (STI), on the other. To control for unobserved heterogeneity, the Least Square Dummy Variable estimator with robust standard errors was employed. The results show that the technological intensity of imports has an impact on the agglomeration effect of STI activity. Moreover, the effect of STI activity on intra-regional agglomeration conditioned by imports varies according to regional characteristics