Abstract:Abstract:This study examines the relationship between investment performance and concentration in active equity portfolios. Active management is dependent on the success of two important components in the investment process -stock selection skill and portfolio management. Our study documents a positive relationship between fund performance and portfolio concentration. The relationship is stronger for stocks in which active managers hold overweight positions, as well as for stocks outside the largest 50 stocks … Show more
“…In addition, 1997 (DGTW), who employ characteristics-based benchmarks, find that the average active US equity fund can beat its benchmarks, gross of fees and trading costs. Further, DGTW find that some active equity fund managers outperform their benchmarks, precosts, by a wide margin; other, more recent papers, provide further insights into the characteristics of skilled funds (Brands, Brown, & Gallagher, 2005;Cremers & Petajisto, 2009;Cremers et al, 2016;Dong & Doukas, 2019;Kacperczyk et al, 2005).…”
Section: Related Literature and Hypothesismentioning
Does fund management skill allow managers to identify mispriced securities more accurately and thereby make better portfolio choices resulting in superior fund performance when noise trading – a natural setting to detect skill – is more prevalent? We find skilled fund managers with superior past performance to generate persistent excess risk‐adjusted returns and experience significant capital inflows, especially in high sentiment times, high stock dispersion, and economic expansion states when price signals are noisier. This pattern persists after we control for lucky bias, using the ‘false discovery rate’ approach, which permits disentangling manager ‘skill’ from ‘luck.’
“…In addition, 1997 (DGTW), who employ characteristics-based benchmarks, find that the average active US equity fund can beat its benchmarks, gross of fees and trading costs. Further, DGTW find that some active equity fund managers outperform their benchmarks, precosts, by a wide margin; other, more recent papers, provide further insights into the characteristics of skilled funds (Brands, Brown, & Gallagher, 2005;Cremers & Petajisto, 2009;Cremers et al, 2016;Dong & Doukas, 2019;Kacperczyk et al, 2005).…”
Section: Related Literature and Hypothesismentioning
Does fund management skill allow managers to identify mispriced securities more accurately and thereby make better portfolio choices resulting in superior fund performance when noise trading – a natural setting to detect skill – is more prevalent? We find skilled fund managers with superior past performance to generate persistent excess risk‐adjusted returns and experience significant capital inflows, especially in high sentiment times, high stock dispersion, and economic expansion states when price signals are noisier. This pattern persists after we control for lucky bias, using the ‘false discovery rate’ approach, which permits disentangling manager ‘skill’ from ‘luck.’
“…While there are considerable studies on the performance of domestic mutual funds (e.g., Grinblatt and Titman, 1992;Carhart, 1997;Daniel, Grinblatt, Titman and Wermers, 1997;Wermers, 2000;Brands, Brown and Gallagher, 2005;Kacperczyk and Seru, 2007;Cremers and Petajisto, 2009;Amihud and Goyenko, 2013), research on the performance of foreign and global funds is not as extensive (Cumby and Glen, 1990;Gallo and Swanson, 1996;Glassman and Riddick, 2006;Jiang, Yao and Yu, 2007;Turtle and Zhang, 2012). Furthermore, current evidence about the performance of foreign and global equity funds is mixed.…”
We examine the performance of U.S.‐based foreign and global funds after controlling for their regional and style exposure. We show that, on average, the total performance (TP) and security selection abilities of both foreign and global funds are significantly negative and exhibit short‐term predictability. Additionally, R2 reflects funds’ security selection abilities, consistent with previous findings for domestic mutual funds. Investors can earn higher abnormal returns and TP in the short run by purchasing past winners with low R2 than by purchasing past losers with high R2. However, there is no evidence of predictability in the funds' region‐shifting and style‐shifting abilities.
“…On the other hand, in periods of financial distress and extreme losses, diversification strategies might not be robust to high levels of volatility and correlation among financial assets, leading to underperforming investment strategies. For this reason, in practice, many portfolio managers rather invest in concentrated portfolios, claiming that focusing on few securities yields better risk-returns performance, with lower trading and monitoring costs (Kacperczyk et al, 2005;Brands et al, 2005;Ivkovic et al, 2008).…”
High levels of correlation among fi nancial assets, as well as extreme losses, are typical during crisis periods. In such situations, quantitative asset allocation models are often not robust enough to deal with estimation errors and lead to identifying underperforming investment strategies.It is an open question if in such periods, it would be better to hold diversifi ed portfolios, such as the equally weighted, rather than investing in few selected assets. In this paper, we show that alternative strategies developed by constraining the level of diversifi cation of the portfolio, by means of a regularization constraint on the sparse l q -norm of portfolio weights, can better deal with the trade-off between risk diversifi cation and estimation error. In fact, the proposed approach automatically selects portfolios with a small number of active weights and low risk exposure. Insights on the diversifi cation relationships between the classical minimum variance portfolio, risk budgeting strategies, and diversifi cation-constrained portfolios are also provided. Finally, we show empirically that the diversifi cation-constrainedbased l q -strategy outperforms state-of-art methods during crises, with remarkable out-of-sample performance in risk minimization.
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