We propose a new empirical approach to determination of mutual fund styles. This approach is simple to apply, yet it captures nonlinear patterns of returns that result from virtually all active portfolio management styles. We find that the largest equity fund category, “Growth” typically breaks down into several styles that differ in composition and strategy. Our classification method identifies fund groupings that are useful predictors of cross-sectional future performance, as well as past behavior. Not only are they superior to common classifications such as “Growth” or “Income,” but they also outperform classifications based upon risk measures and analogue portfolios
This paper provides a comprehensive taxonomy of mutual funds and discusses the relative importance o...
AbstractThis paper provides a comprehensive taxonomy of mutual funds and discusses the relative impo...
Most academic studies on performance persistence in monthly mutual fund returns do not find evidence...
We propose a new empirical approach to determination of mutual fund styles. This approach is simple ...
this paper, we find that existing classifications do a poor job at forecasting differences in future...
We provide an exploratory investigation of mutual funds ’ investment styles. Funds ’ styles tend to ...
A method to rank mutual funds according to their investment style measured with respect to the retur...
A method to rank mutual funds according to their investment style measured with respect to the retur...
A method to rank mutual funds according to their investment style measured with respect to the retur...
A method to rank mutual funds according to their investment style measured with respect to the retu...
In this study we consider two methods of returns based style analysis for classification of investme...
In this study we consider two methods of returns based style analysis for classification of investme...
In this study we consider two methods of returns based style analysis for classification of investme...
In this study we consider two methods of returns based style analysis for classification of investme...
In this study we consider two methods of returns based style analysis for classification of investme...
This paper provides a comprehensive taxonomy of mutual funds and discusses the relative importance o...
AbstractThis paper provides a comprehensive taxonomy of mutual funds and discusses the relative impo...
Most academic studies on performance persistence in monthly mutual fund returns do not find evidence...
We propose a new empirical approach to determination of mutual fund styles. This approach is simple ...
this paper, we find that existing classifications do a poor job at forecasting differences in future...
We provide an exploratory investigation of mutual funds ’ investment styles. Funds ’ styles tend to ...
A method to rank mutual funds according to their investment style measured with respect to the retur...
A method to rank mutual funds according to their investment style measured with respect to the retur...
A method to rank mutual funds according to their investment style measured with respect to the retur...
A method to rank mutual funds according to their investment style measured with respect to the retu...
In this study we consider two methods of returns based style analysis for classification of investme...
In this study we consider two methods of returns based style analysis for classification of investme...
In this study we consider two methods of returns based style analysis for classification of investme...
In this study we consider two methods of returns based style analysis for classification of investme...
In this study we consider two methods of returns based style analysis for classification of investme...
This paper provides a comprehensive taxonomy of mutual funds and discusses the relative importance o...
AbstractThis paper provides a comprehensive taxonomy of mutual funds and discusses the relative impo...
Most academic studies on performance persistence in monthly mutual fund returns do not find evidence...