Positively Weighted Minimum-Variance Portfolios and the Structure of Asset Expected Returns
By M. Best, R. Grauer.. 1992
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Francisco Javier Nogales
- Alberto Martín-Utrera
- Victor DeMiguel
- Sang Il Lee
- Seong Joon Yoo
- Olivier Ledoit
- Clifford Lam
- Antonio J. Conejo
Citations in the corpus
- Threshold-based portfolio: the role of the threshold and its applications (2017, background): “Furthermore, as mean–variance optimization is extremely sensitive to expected returns, any errors therein might make outcomes far from optimal [44, 45].”
- Portfolio Selection with Parameter and Model Uncertainty: A Multi-Prior Approach (2004, unknown): “For a discussion of the problems in estimating the covariance matrix in the context of portfolio optimization, see Best and Grauer (1992) , Ledoit (1996), Chan, Karceski, and Lakonishok (1999), and Ledoit and Wolf (2003).”
- Optimal Versus Naive Diversification: How Inefficient is the 1/N Portfolio Strategy? (2009, unknown): “…imposed by the factor structure of returns (MacKinlay and Pastor, 2000); methods that focus on reducing the error in estimating the covariance matrix (Best and Grauer, 1992; Chan, Karceski, and Lakonishok, 1999; Ledoit and Wolf, 2004a, 2004b); and, finally, portfolio rules that impose…”
- Size Matters: Optimal Calibration of Shrinkage Estimators for Portfolio Selection (2011, background): “…Iyengar (2003), Garlappi et al. (2007), Rustem et al. (2000), Tutuncu and Koenig (2004)), Bayesian robust optimization (Wang (2005)), robust estimation methods (DeMiguel and Nogales (2009)), and imposing constraints (Best and Grauer (1992), Jagannathan and Ma (2003), and DeMiguel et al. (2009)).”