We compare the equal-weight naïve 1/N portfolio with mean-variance strategies from the perspective of mispricing (alpha) and provide three new findings. First, we analytically show that the 1/N rule approaches the ex ante mean-variance efficient portfolio in the absence of mispricing. With mispricings, mean-variance strategies can overcome the difficulty brought by the imprecise parameter estimates and outperform 1/N by exploiting the mispricing. Second, with mispricings the 1/N rule is unlikely to outperform mean-variance strategies even when N is large, since mean-variance strategies have more opportunities to exploit mispricings. Third, minimum-variance strategies do not exploit mispricings and underperform the 1/N rule
The authors study the performance of mean-variance optimized (MVO) equity portfolios for retail inve...
The authors study the performance of mean-variance optimized (MVO) equity portfolios for retail inve...
DeMiguel et al. [DeMiguel V, Garlappi L, Uppal R (2009) Optimal versus naïve diversification: How in...
© 2018 Dr. Bowei LiThe mean-variance model pioneered by Nobel laureate Harry Markowitz is the founda...
Whether optimized portfolio strategies have superior performance to the naïve diversification or not...
For various organizational reasons, large investors typically split their portfolio decision into tw...
We evaluate the out-of-sample performance of the sample-based mean-variance model, and its extension...
Master's thesis Business Administration BE501 - University of Agder 2017DeMiguel, Garlappi, and Uppa...
Master´s thesis in Business Administration (BE501)Whether optimized portfolio strategies have superi...
Mean-variance optimization as a modern portfolio theory is a major model for theoretical purposes, h...
Mean-variance optimisation has been roundly criticised by financial economists and practitioners ali...
Estimation theory has shown, owing to the limited estimation window available for real asset data, t...
DeMiguel et al. [DeMiguel V, Garlappi L, Uppal R (2009) Optimal versus naïve diversification: How in...
Mean-variance optimisation has been roundly criticised by financial economists and practitioners ali...
Master's thesis Business Administration BE501 - University of Agder 2017Since the publication of the...
The authors study the performance of mean-variance optimized (MVO) equity portfolios for retail inve...
The authors study the performance of mean-variance optimized (MVO) equity portfolios for retail inve...
DeMiguel et al. [DeMiguel V, Garlappi L, Uppal R (2009) Optimal versus naïve diversification: How in...
© 2018 Dr. Bowei LiThe mean-variance model pioneered by Nobel laureate Harry Markowitz is the founda...
Whether optimized portfolio strategies have superior performance to the naïve diversification or not...
For various organizational reasons, large investors typically split their portfolio decision into tw...
We evaluate the out-of-sample performance of the sample-based mean-variance model, and its extension...
Master's thesis Business Administration BE501 - University of Agder 2017DeMiguel, Garlappi, and Uppa...
Master´s thesis in Business Administration (BE501)Whether optimized portfolio strategies have superi...
Mean-variance optimization as a modern portfolio theory is a major model for theoretical purposes, h...
Mean-variance optimisation has been roundly criticised by financial economists and practitioners ali...
Estimation theory has shown, owing to the limited estimation window available for real asset data, t...
DeMiguel et al. [DeMiguel V, Garlappi L, Uppal R (2009) Optimal versus naïve diversification: How in...
Mean-variance optimisation has been roundly criticised by financial economists and practitioners ali...
Master's thesis Business Administration BE501 - University of Agder 2017Since the publication of the...
The authors study the performance of mean-variance optimized (MVO) equity portfolios for retail inve...
The authors study the performance of mean-variance optimized (MVO) equity portfolios for retail inve...
DeMiguel et al. [DeMiguel V, Garlappi L, Uppal R (2009) Optimal versus naïve diversification: How in...