2 resultados para Hedge Funds, Data Biases, Attrition, Survivorship, Investment Style
em Brock University, Canada
Resumo:
A looming attrition rate, a steady increase in the number of women in administration, and a lack of Canadian research all provided the rationale for this study. The problem in this study was to investigate the needs and challenges of new female administrators and to examine the role that mentors play in addressing these issues. This study also explored the perceived benefits of having a mentor. This study examined the inductive year of 33 female administrators from 3 Ontario school boards. It was a qualitative and quantitative design, using questionnaire and interview data. It was found that the majority felt that they struggled with biases and expectations that were gender specific. The challenges that were perceived to be most prevalent were categorized into 4 thematic areas: Maintaining Balance, Feeling Pressured, The Perceptions of Others, and Being Challenged by Others. Regarding the benefits of mentoring, the participants perceived mentoring to be most beneficial in terms of professional growth, followed by learning how to run a school, and then career advancement. The significance of this study was threefold: it had theoretical implications as well as implications for practice and future research. Suggestions included: facilitating longitudinal relationships, having the board become more actively involved in facilitating the relationship, and implementing an internship program. This study attempted to extend the current literature by theorizing that a mentorship is cyclical in nature. Future research could include program design and implementation, as well as providing consistent and accessible mentoring opportunities for all.
Resumo:
Emerging markets have received wide attention from investors around the globe because of their return potential and risk diversification. This research examines the selection and timing performance of Canadian mutual funds which invest in fixed-income and equity securities in emerging markets. We use (un)conditional two- and five-factor benchmark models that accommodate the dynamics of returns in emerging markets. We also adopt the cross-sectional bootstrap methodology to distinguish between ‘skill’ and ‘luck’ for individual funds. All the tests are conducted using a comprehensive data set of bond and equity emerging funds over the period of 1989-2011. The risk-adjusted measures of performance are estimated using the least squares method with the Newey-West adjustment for standard errors that are robust to conditional heteroskedasticity and autocorrelation. The performance statistics of the emerging funds before (after) management-related costs are insignificantly positive (significantly negative). They are sensitive to the chosen benchmark model and conditional information improves selection performance. The timing statistics are largely insignificant throughout the sample period and are not sensitive to the benchmark model. Evidence of timing and selecting abilities is obtained in a small number of funds which is not sensitive to the fees structure. We also find evidence that a majority of individual funds provide zero (very few provide positive) abnormal return before fees and a significantly negative return after fees. At the negative end of the tail of performance distribution, our resampling tests fail to reject the role of bad luck in the poor performance of funds and we conclude that most of them are merely ‘unlucky’.