We o er an alternative framework for the analysis of mutual funds and use it to examine the rationale behind existing regulations that require mutual fund adviser fees to be of the \fulcrum" variety. We nd little justi cation for the regulations. Indeed, we nd that asymmetric \incentive fees" in which the adviser receives a at fee plus a bonus for exceeding a benchmark index provide Pareto-domi...

-In this study, it is discussed about the mutual fund knowledge and awareness among the investors with a special reference to Chennai city. It is difficult to selective group the investors in a sample as such the population of Chennai city is large in number. Compared to earlier days the investment options are changing from risk free to riskier investments. The analyses also shows that compared...

We empirically investigate the impact of fund flows and managerial turnover on the investment performance of active equity mutual funds. Fund flows have been suggested by Berk and Green (2004) as mechanism that prevents performance persistence. We propose managerial turnover as an alternative explanation. One the one hand, withdrawing money from loser funds and sacking bad fund managers are mea...

Does the “smart money” effect documented by Gruber (1996) and Zheng (1999) reflect fund selection ability of mutual fund investors? We examine the finding that investors are able to predict mutual fund performance and invest accordingly. We show that the smart money effect is explained by the stock return momentum phenomenon documented by Jegadeesh and Titman (1993). Further evidence suggests t...

Data envelopment analysis (DEA) is an efficient tool for evaluating mutual fund performance. It is important for investors to select the best funds for investment. In evaluation of mutual fund performance, besides quantitative elements, there are many qualitative elements that are of importance to the investors. In this paper, value efficiency analysis (VEA) was used in mutual funds performance...