Since Markowitz (1958) and Sharpe (1966), the increasing number of criteria and performance indicators made mutual funds analysis more complex and sometimes risky. In this study we propose to identify the most relevant indicators to classify mutual funds based on their statistical properties....

This paper examines the compliance of a large sample of faith-based ethical funds – Shari'ah equity funds (SEFs). SEFs screen their investment for compliance with Islamic law, where riba (conventional interest expense), maysir (gambling), gharar (excessive uncertainty), and non-halal...

Although stock returns of intangibles-intensive firms tend to exceed physical assets-intensive firms, risk-adjusted returns of actively managed mutual funds significantly decrease (increase) with their portfolios' exposure to intangibles-intensive (physical assets-intensive) firms. Fund managers...

This study evaluates equity mutual fund performance in the Chinese mutual funds industry by employing Goetzmann and Ibbotson's (1994) method. The data set consists of all open-end equity mutual funds in China and is free of survivorship bias. The research period covers January 2002 to December...

The existence of the momentum effect in stock returns has been documented for the U.S. (e.g., Jegadeesh and Titman, 1993) and many other national equity markets worldwide (e.g., Griffin et al., 2003). However, little is known about the active employment of momentum strategies among institutional...

We analyze trading strategies involving triple-leveraged and inverse triple-leveraged ETF pairs by simulating daily returns over a 48 year period. Our results show that many such strategies significantly outperform the S&P 500 on a risk-adjusted basis. The Sharpe ratio appears to be maximized...

20 years ago, Sharpe (1992) developed the Style Analysis for mutual funds; in this analysis, the weights mutual funds allocate to major asset classes are constrained to sum up to 1. In this paper we develop a Time-Varying Style Analysis (TVSA) in which the weights must sum up to 1 but are...

This study applies an innovative return-based approach to determine the style-shifting activity of mutual funds. Based on daily returns, we measure style-shifting activity as inter-quarterly changes in the style exposures of a fund. In order to test the robustness of style-shifting activity we...

Mutual fund manager excess performance should be measured relative to their self-reported benchmark rather than the return of a passive portfolio with the same risk characteristics. Ignoring the self-reported benchmark results in different measurement of stock selection and timing components of...

We propose a measure of dispersion in fund managers beliefs about future stock returns based on their active holdings, i.e., deviations from benchmarks. We fi nd that both the level of and the change in dispersion positively predict subsequent stock returns on a risk-adjusted basis. This effect...