4 resultados para retorno esperado de mercado

em Universidade Federal do Rio Grande do Norte(UFRN)


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This Master s Thesis proposes the application of Data Envelopment Analysis DEA to evaluate the performance of sales teams, based on a study of their coverage areas. Data was collected from the company contracted to distribute the products in the state of Ceará. Analyses of thirteen sales coverage areas were performed considering first the output-oriented constant return to scale method (CCR-O), then this method with assurance region (AR-O-C) and finally the method of variable returns to scale with assurance region (AR-O-V). The method used in the first approach is shown to be inappropriate for this study, since it inconveniently generates zero-valued weights, allowing that an area under evaluation obtain the maximal score by not producing. Using weight restrictions, through the assurance region methods AR-O-C and AR-O-V, decreasing returns to scale are identified, meaning that the improvement in performance is not proportional to the size of the areas being analyzed. Observing data generated by the analysis, a study is carried out, aiming to design improvement goals for the inefficient areas. Complementing this study, GDP data for each area was compared with scores obtained using AR-O-V analysis. The results presented in this work show that DEA is a useful methodology for assessing sales team performance and that it may contribute to improvements on the quality of the management process.

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Men and women express different preferences for ideal romantic partners. These preferences seem to vary with the level of involvement and commitment expected for the relationship and the perceptions people have about themselves. The current work was developed to expand the findings related to this subject, investigating the market perception of romantic relationships and the effect of context on self-assessment and preferences for romantic partners. For this purpose, 753 undergraduate, Brazilian and American, were enrolled between March 2010 and November 2012 and took part in at least one of the four studies that compose this research, performing the assessment of specific stimulus-subject descriptions. Studies one and two addressed Brazilian and American samples to respectively describe female and male expectations on human mating market. It was observed that individuals from both the genders expect positive assortative mating within couples, that each trait is not evaluated independently, and, in addition to biological predispositions, factors as environmental local constrains and cultural values may also affect mating expectations. The contrasts between the samples showed that Americans valued physical-attractiveness and social-status in describing the same-gender subjects and their expected partners, while Brazilians valued social-skills. Another expectation was also identified for both genders: physically attractive women and men of high-status were expected to be paired to each other. Study three addressed males and females expectations regarding which characteristics are most relevant in ensuring desirable partnerships for same-gender individuals. The results showed that men and women can be grouped together by having similar expectations. However, the group mainly composed of men considered status characteristics as the most important attributes, while the groups mostly composed of women indicated that social skills or physical characteristics as the most important in appealing to a desirable partner. Finally, study four investigated the effect of social comparison on self-perception and mate preferences, revealing that individuals were aware of the attributes valued by the opposite-gender and that self-perception was affected by the attributes of other people. In sum, this work evidenced that romantic relationships can be interpreted as a biological market and that the value of the attributes in the romantic mating marketplace are associated with reproductive relevance of the characteristics.

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The purpose of this study was to analyze the behavior of Sell-Side analysts and analysts propose a classification, considering the performance of the price forecasts and recom- mendations (sell-hold-buy) in the Brazilian stock market. For this, the first step was to analyze the consensus of analysts to understand the importance of this collective interven- tion in the market; the second was to analyze the analysts individually to understand how improve their analysis in time. Third was to understand how are the main methods of ranking used in markets. Finally, propose a form of classification that reflects the previous aspects discussed. To investigate the hypotheses proposed in the study were used linear models for panel to capture elements in time. The data of price forecasts and analyst recommendations individually and consensus, in the period 2005-2013 were obtained from Bloomberg R ○ . The main results were: (i) superior performance of consensus recommen- dations, compared with the individual analyzes; (ii) associating the number of analysts issuing recommendations with improved accuracy allows supposing that this number may be associated with increased consensus strength and hence accuracy; (iii) the anchoring effect of the analysts consensus revisions makes his predictions are biased, overvaluating the assets; (iv) analysts need to have greater caution in times of economic turbulence, noting also foreign markets such as the USA. For these may result changes in bias between optimism and pessimism; (v) effects due to changes in bias, as increased pessimism can cause excessive increase in purchase recommendations number. In this case, analysts can should be more cautious in analysis, mainly for consistency between recommendation and the expected price; (vi) the experience of the analyst with the asset economic sector and the asset contributes to the improvement of forecasts, however, the overall experience showed opposite evidence; (vii) the optimism associated with the overall experience, over time, shows a similar behavior to an excess of confidence, which could cause reduction of accuracy; (viii) the conflicting effect of general experience between the accuracy and the observed return shows evidence that, over time, the analyst has effects similar to the endowment bias on assets, which would result in a conflict analysis of recommendations and forecasts ; (ix) despite the focus on fewer sectors contribute to the quality of accuracy, the same does not occur with the focus on assets. So it is possible that analysts may have economies of scale when cover more assets within the same industry; and finally, (x) was possible to develop a proposal for classification analysts to consider both returns and the consistency of these predictions, called Analysis coefficient. This ranking resulted better results, considering the return / standard deviation.

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This study investigated the impact caused by events horizontal mergers and acquisitions (M&As) horizontal, in the stock returns of the participating companies and competitors regarding the creation or destruction of value for those firms in Brazil, from 2001 to 2012. For this, first was used the event study methodology to estimate abnormal returns in stock prices; after was conducted an analysis multiple regression. The results of the event study showed that using sub-periods for the data, before and after the crisis period, the effects were different for the target-before negative, after positive. Regarding the acquirer and competitors, the results were constant. For acquirer firms, the returns were close to zero, while for the competitors were negative. Furthermore, the regression results regarding the bidder showed that firms invested in processes of M&As to obtain a further increase its efficiency. Furthermore, this study indicated that the leverage of the bidder plays is important for creating value in acquisitions, when they has a higher Tobin’s Q. The results of target firms showed that a small firm had a better return than large firm did.