We empirically analyse the returns of both Italian and round-trip open-end funds managed by Italian asset management companies (SGRs) in the period 2003-2008. Taking into account a modified version of the capital asset pricing model (CAPM), we estimated a performance measure for each asset...

Active fund managers are skilled and, on average, have used their skill to generate about $3.2 million per year. Large cross-sectional differences in skill persist for as long as ten years. Investors recognize this skill and reward it by investing more capital in funds managed by better...

In contrast with theoretical predictions, high-fee active equity funds generate worse net-of-expenses performance. We show that this fee-performance puzzle is driven by the preference of high-fee funds for stocks with low operating profitability and high investment rates, characteristics...

The majority of financial trades take place in open and highly regulated markets. As an alternative venue, large asset managers sometimes offset the trades of affiliated funds in an internal market, without relying on external facilities or supervision. In this paper, we employ institutional...

We propose a new approach for estimating mutual fund performance that simultaneously controls for both factor exposure and firm characteristics. This double-adjusted alpha is motivated by the recent findings that traditional Fama-French style factor models do not fully adjust returns for the...

Short sellers are perceived as informed, sophisticated investors. Yet little is known about their actual performance and trading strategies. Using a novel, hand-collected data set of daily position disclosures in Europe, we identify the entry, change, and exit dates of large short-sale positions...

Using a novel measure of stock-level trade imitation, we uncover "smart" copycats: fund managers that use their own information when beneficial, and otherwise imitate other managers' better trades. Contrary to previous research, we find that these partial imitation strategies lead to...

The purpose of this paper is to investigate and discuss historical active manager performance relative to the performance of an appropriate market benchmark. Although this subject has been written about extensively, much of the analysis has traditionally been plagued with data quality issues....

This paper studies the performance of ETFs that invest in companies involved in artificial intelligence (AI) technologies, such as firms focused on AI research, development, and applications. Using daily data from 15 American ETFs focused on AI-related companies over the period from 1 February...

This study establishes a multi-tier framework to evaluate how fund manager characteristics systematically affect mutual fund performance. The framework includes three tiers of performance elements: 1) comprehensive performance, 2) return and risk, and 3) timing skill and picking ability. Using...