O afeto negativo como fator emocional de ordem superior em pacientes cardiovasculares

Depression, anxiety and anger trait have been shown to be factors related to poor prognosis in patients with cardiovascular disease. A sample of 168 patients with ischemic heart disease that have had a cardiac event in the last month (age: Mean = 64 years, SD = 11; 66.7 % men) was evaluated to verify the existence of negative affect as a common factor among the previous emotions in these patients. Patients answered the Spielberger depression, anxiety and anger trait questionnaires. Exploratory factorial analyses were carried out to confirm the factorial structure of the scales. Confirmatory factor analysis confirmed the existence of negative affect as a higher order factor (X 2 = 3.42, p > .05; CFI > .95, TLI > .95, SRMS .05; CFI > .95, TLI > .95, SRMS .05; CFI > .95, TLI > .95, SRMS < .05 ). Os resultados deste estudo assinalam a importância de considerar modelos dimensionais para a abordagem da emoção nessa população

Factors predicting conviction in child stranger rape

Background. Public knowledge of child stranger rape is shaped largely by media portrayals of a small number of cases, often marked by sensational trials, which may result in juror misconceptions of this offense. It is important to understand the factors that may influence jury verdicts in order to maximize the chance of guilty defendants being convicted. Objective. The aim is to explore the factors that predict juries’ decisions to convict or acquit in child stranger rape cases. Participants and Setting. The study utilizes a police database of recorded child stranger rape cases from a UK urban force from 2001-2015. Seventy cases that were tried by jury were analyzed. We investigated the extent to which 19 child-, accused- and offense-related factors predict jury verdicts. Methods. A four stage analytic process was employed: (a) Kendall’s tau-b measured inter-correlations among the factors; (b) Chi-Square and Welch t-tests measured associations between factors and verdicts; (c) binary logistic regression measured the power of factors in predicting verdicts; and (d) Stein’s formula was used to cross-validate the model. Results. Verdicts were predicted by two offense-related factors. A weapon increased the odds of conviction by 412%. An outdoor location increased the odds by 360%. Conclusions. The findings have potential implications for prosecution case building and courtroom policy. Prosecutors could gather as much information as possible from victims about the factors found to be of importance to juries. Judges could challenge incorrect beliefs and stereotypes by instructing juries

Factors predicting jury convictions in stranger rape cases

Background: Despite there being no legal distinction between different types of rapes (e.g., those committed by strangers to the victim versus those committed by perpetrators known to the victim), stereotypical beliefs about rape have meant that these can be treated differently by the justice system. The aim is to explore the factors that predict juries’ decisions to convict or acquit in stranger rape cases. Methods: We measured the importance of a range of 20 perpetrator-, victim-, and offense-related factors in predicting outcomes for 394 stranger rape cases tried by a jury. A four-stage analytic process was employed: (a) Kendall’s tau-b measured intercorrelations among the factors (predictors); (b) Chi-square and Welch t-tests measured associations between factors and verdicts; (c) binary logistic regression measured the power of factors in predicting verdicts; and (d) Stein’s formula was used to cross-validate the model. Results: Jury verdicts were predicted by five offense-related factors and one victim-related factor. None of the perpetrator-related factors were significant predictors of convictions for stranger rape. Conclusion: The findings have potential implications for victims of stranger rape, as well as prosecution and courtroom policy. We show that if a perpetrator is identified and charged, the likelihood of securing a conviction by a jury is high for victims of stranger rape. We suggest that prosecutors could gather as much information as possible from victims about the factors found to be of importance to juries, and judges could instruct juries on assumptions about the characteristics of the offense in order to challenge incorrect beliefs and stereotypes. Ultimately, this could be used to encourage victims of stranger rape to report and testify in court

Do foreign portfolio flows increase risk in emerging stock markets? Evidence from six Latin American countries

Foreign portfolio flows have been blamed for causing instability in emerging markets, especially during financial crises. This study measured the effect of foreign capital flows on volatility and exposure to world market risk in the six largest Latin American stock markets: Argentina, Brazil, Colombia, Chile, Mexico and Peru, for around 10 years including the 2008 World financial crisis. This will test whether these flows cause instability for those markets and increase their exposure to international stock market returns. A proprietary database, from Emerging Portoflio.com and time series models, both univariate (ARCH-GARCH) and multivariate (VAR), are used to estimate the effect foreign portfolio flows on the risk variables and the causality of these effects. We found no strong evidence to support the hypothesis that foreign flows cause instability in the Latin American stock markets, in spite of some evidence of causing price pressure. Instead, the evidence points to a strong dependence of market returns on international stock and foreign exchange markets, both in means and in volatility, instrumental to transmit crisis to those markets

Do news improve liquidity through improved information or visibility? Evidence from Emerging Markets.

Market microstructure models imply that informed trading reduces liquidity. We test for the effect of the frequency of new releases, as a proxy of information arrival, on liquidity in the Chilean stock market. We find that news release frequency is strongly related to improved liquidity. Those results appear for both negative a positive news days and are robust using four different measures of liquidity: bid-ask spread, Amihud measure and two versions of the Zero trading variable. We also find evidence consistent with visibility and information arrival interacting for enhancing liquidity

Effects of Mergers and Acquisitions on Shareholder Wealth: Event Study for Latin American Airlines

This study analyzes the effectof changes in corporate controlon the way shareholdersbenefit from the announcements of selling and buying airlines, thus contributing to the literature on mergers and acquisitions (M&As) in emerging markets. Using a methodologyof event study, including GARCH and OLS models, we find evidence that some selling companies obtain abnormal returns that are statisticallysignificant after the announcement of the M&A. However, when the merger is not strategic, the companies present statisticallysignificant negative abnormal returns. The resultsare not conclusive when analyzing the effecton the valueof the buying companies

Waves and determinants in the activity of Mergers and Acquisitions: The Case of Latin America

This paper contributes to the current literature of mergers and acquisitions (M&As) by studying the existence of waves and the determinants of M&A activity in the economies of Argentina, Brazil, Chile, Colombia, Mexico and Peru. From a sample of 2,490 M&As announcements reported by Thomson One for these countries, and applying the methodology proposed by Harford (2005), evidence of M&A waves is found for the periods 1993-2002 and 2003-2010 as reported for other regions in various international studies. After controlling for economic and business environment variables, as well as for profitability and book-to-market variables at industry level, we find evidence in favor of the neoclassical theory as a main explanation for M&As, but not for the misvaluation effect. For this purpose, a Prais-Winsten data model with panel corrected standard errors (PCSE) is used, and the results are confirmed through a negative binomial panel data estimation