Magister Artium (Sport, Recreation and Exercise Science) - MA(SRES) / Coaches have been found to have a remarkable influence on the physical and psychological development on their athletes and that their main responsibility is to help their athletes perform at their maximum level and reach goals that they could not attain on their own. Coaches are responsible for developing athletes’ mental, physical, technical, and tactical abilities, and in addition to all of these responsibilities, they are also expected to win. The coach-athlete relationship can thus be regarded as the conveying of technical skills and mentoring from coach to athlete. Despite the responsibilities of a coach, the athlete-coach relationship is fundamental in the process of coaching because its nature is likely to determine the athlete’s satisfaction, self-esteem and performance accomplishments. The aim of this study was to investigate female university track and field athletes’ lived experiences within the athlete-coach relationship to gather psychological effects relating to performance. The objectives were to explore the lived experiences of female university athletes within the athlete-coach relationship, investigate the psychological effects, and explore the impact it has on performance within the athlete-coach relationship. The researcher adopted the qualitative research method approach using the phenomenology design to explore and obtain a better understanding into the psychological effects of the athlete-coach relationship on an athletes’ performance. Semi-structured interviews were used to gather data. Following the interviews, all data was analyzed using the 3+1C’s conceptualized model as the theoretical framework. This model was used as it defines the coach-athlete relationship as a situation in which coaches and athletes’ closeness, commitment, and complementarity are co-orientated. The 3+1C’s model explored the athlete-coach relationship from the athlete’s perspective which elicited positive and negative psychological and performance effects within the athlete-coach dyad. The research findings of this thesis it can be concluded that the behaviours of coaches have an influence on female athletes’ psychological state as well as performance; and found that when coaches and athletes work together to achieve goals the relationship is more likely to be successful and the athlete is more likely to achieve goals. Furthermore it was concluded that affective emotional feelings of female University athletes are important in developing an effective athlete-coach relationship and facilitating positive psychological effects.

nÃo hà / Esta dissertaÃÃo visa contribuir ao mainstream da Teoria de ApreÃamento de Ativos, ao analisar o desempenho dos fundos de investimento em aÃÃes no Brasil, a partir de um painel composto por 75 fundos do tipo ANBIMA Ibovespa Ativo, sobreviventes no perÃodo de janeiro de 1998 a dezembro de 2008, identificando aqueles cujo resultado se deve simplesmente à sorte ou ao azar e aqueles cujo resultado se deve à habilidade ou à falta de habilidade dos seus gestores. Seguindo a metodologia desenvolvida em Fama & French (1992, 1993) e o trabalho elaborado por Matos e Silva (2010), construÃram-se fatores, os quais consistem em zero cost equal weighted portfolios compostos apenas por fundos, capazes de captar os efeitos tamanho e ganho acumulado destes ativos, sendo os mesmos usados em diversas aplicaÃÃes em uma versÃo estendida do Capital Asset Pricing Model (CAPM). Os efeitos tamanho e ganho acumulado, evidenciados pela inadequaÃÃo do CAPM em modelar fundos com maior patrimÃnio lÃquido e ganhos acumulados muito altos ou baixos, parecem ser muito bem acomodados quando da incorporaÃÃo dos fatores, os quais se mostraram significativos conjuntamente em 50% dos 75 fundos analisados. As principais evidÃncias obtidas a partir de regressÃes temporais individuais sÃo corroboradas quando do teste em painel com efeitos aleatÃrios em que ambos os efeitos sÃo indispensÃveis na explicaÃÃo dos retornos dos fundos de investimento em aÃÃes no Brasil. Para a anÃlise de performance dos fundos, seguiu-se a metodologia proposta por Fama & French (2010), na qual, por meio de tÃcnicas de bootstrap, modela-se o estudo transversal do desempenho dos fundos de investimento. Para a maioria dos fundos que apresentaram outperformance significativa, com base nos alfas estimados nas regressÃes individuais, identificou-se desempenho devido ao acaso. No modelo de fatores proposto, somente trÃs fundos apresentaram real desempenho superior devido à habilidade de seus gestores, todos esses vinculados a instituiÃÃes financeiras privadas. O modelo de fatores se mostrou mais criterioso na caracterizaÃÃo da aleatoriedade de performance. / This dissertation aims to contribute to the mainstream in Asset Pricing Theory, to analyze the performance of stock mutual funds in Brazil, for a panel with 75 mutual funds type ANBIMA Active Ibovespa which have survived during the period between Jan-1998 and Dec-2008, identifying those whose result is simply due to good luck or bad luck and those whose result is due to the skill or lack of skill of their managers. Following the methodology developed in Fama and French (1992, 1993), we built two factors, mutual funds zero cost equal weighted portfolios, able to accommodate the size and performance effects observed for these assets, which are used in some applications in an extended version of Capital Asset Pricing Model (CAPM). Both effects, which seem to play a relevant role due to the inefficiency of the CAPM model to price big funds with huge relative performance (very high or very low), are partially accommodated when one adds factors, which are significant jointly in 50% of the 75 funds analyzed. The main evidences obtained running individual time series regressions are corroborated if one uses the panel technique estimation with random effects, where both factors seem to be vital if one intends to better understand the returns of the mutual funds in Brazil. To analyze the performance of the funds, the methodology developed in Fama and French (2010) was used, in which, by bootstrap techniques, the cross-section of the performance of investment funds are modeled. For most of the funds that had significant outperformance, based on the estimated alphas in individual regressions, performance due to chance was identified. In the factors model proposed, only three funds really outperformed due to the ability of their managers, all those linked to private financial institutions. The factor model proved to be more accurate in characterizing the randomness of performance with the appropriate criteria.