Quantitative research analysts (Quants) produce in-depth quantitative and econometric modeling of market anomalies to assist sell-side analysts and institutional clients with stock selection strategies. Quants are associated with more efficient analyst forecasting behavior on anomaly predictors...

We investigate the determinants and performance implications of cash holdings for a large sample of actively-managed equity funds domiciled in the European Union (EU). In line with recent evidence from the US, we observe that cash holdings are strongly influenced by a fund's fee structure, past...

This article reports a study on the performance of mutual equity funds in Brazil from January 2002 to August 2012. For the analyses, Carhart's four-factor model is used as the benchmark for performance, and bootstrap procedures are applied to separate skill from luck. The results show that...

Little in the scholarly economics literature is directed specifically to stable value funds, although they occupy a leading place among retirement investment vehicles. They are offered in almost half of all defined contribution plans in the USA, with more than $800 billion dollars worth of...

Processing qualitative information about a firm's product market competition matters for professional investors. Consistent with a superior understanding of a firm's market power, fund managers who overweight companies with the fewest competitors (monopolies) outperform their peers. An exogenous...

Taking a firm’s competitive position into account benefits investors who are better at evaluating this qualitative information. I find that fund managers who overweight companies withmarket power outperform their peers. Placebo exercises and an exogenous shock to productmarket competition...

This paper proposes a new holding horizon (HH) measure of active management and examines the relation between horizon and manager skill. Our HH measure identifies, in the cross-section, funds with higher future long-term alphas, while reported turnover identifies, in the time-series, when a...

We compare two bootstrap methods for assessing mutual fund performance. Kosowski, Timmermann, Wermers and White (2006) produces narrow confidence intervals due to pooling over time, while Fama and French (2010) produces wider confidence intervals because it preserves the cross-correlation of...

Our evidence suggest that estimation error in the required statistics is an important factor inhibiting investors' ability to rely on mean/variance analysis. We compare the returns reported by mutual funds to the returns obtained from a mean/variance optimized portfolio of fund holdings. The...

This study re-visits the question of benchmark mismatch among 1281 US equity mutual funds and its impact on benchmark-adjusted fund performance and ranking. All funds report S&P500 index as a prospectus benchmark, yet 2/3 of those are placed in the Morningstar category with risk and objectives...