DeMiguel, Garlappi, and Uppal (2009)conducted a study where they demonstrated that none of several optimized portfolios consistently outperform the naive allocation rule, initiating a heated debate in the academic community. Subsequently,severalresearchers conductedstudies with the aimto defendthe optimized strategies.The common problemwiththesestudies is that they do not control if superior performance appeardue to mean-variance efficiency or due to exposure to established factor premiums.We conductedanempirical study, examining the performance of six optimized strategies, across 13 portfolios.We testifthe performance of the optimized strategiesissuperiorto the performance ofthe naive allocation rule.We account for some known finan...
DeMiguel et al. [DeMiguel V, Garlappi L, Uppal R (2009) Optimal versus naïve diversification: How in...
In this thesis, portfolio optimisation is used to evaluate if a specific sample of portfolios have a...
Empirical thesis.Bibliography: pages 374-380.1. Introduction -- 2. Naïve vs. sophisticated static op...
Master's thesis Business Administration BE501 - University of Agder 2017Since the publication of the...
Thenoveltyof my thesisisto add to the academic debate introducedby DeMiguel, Garlappi, and U...
Whether optimized portfolio strategies have superior performance to the naïve diversification or not...
In this paper, I evaluate the out-of-sample performance of the portfolio optimizer relative to the n...
This thesis expands upon the debate surrounding the paper of DeMiguel, Garlappi &Uppal (2009). We in...
This study examines the results of optimizing investment strategies compared to simple domestic and ...
Finding a portfolio strategy that entails optimal performance and risk diversification may be a comp...
Master's thesis Business Administration BE501 - University of Agder 2017DeMiguel, Garlappi, and Uppa...
© 2018 Dr. Bowei LiThe mean-variance model pioneered by Nobel laureate Harry Markowitz is the founda...
One of the fundamental principles in portfolio selection models is minimization of risk through dive...
This study explores whether optimal asset allocation strategies, defined by permutations and combina...
This study analyzes the economic importance of portfolio advice. Academic studies mainly focus on th...
DeMiguel et al. [DeMiguel V, Garlappi L, Uppal R (2009) Optimal versus naïve diversification: How in...
In this thesis, portfolio optimisation is used to evaluate if a specific sample of portfolios have a...
Empirical thesis.Bibliography: pages 374-380.1. Introduction -- 2. Naïve vs. sophisticated static op...
Master's thesis Business Administration BE501 - University of Agder 2017Since the publication of the...
Thenoveltyof my thesisisto add to the academic debate introducedby DeMiguel, Garlappi, and U...
Whether optimized portfolio strategies have superior performance to the naïve diversification or not...
In this paper, I evaluate the out-of-sample performance of the portfolio optimizer relative to the n...
This thesis expands upon the debate surrounding the paper of DeMiguel, Garlappi &Uppal (2009). We in...
This study examines the results of optimizing investment strategies compared to simple domestic and ...
Finding a portfolio strategy that entails optimal performance and risk diversification may be a comp...
Master's thesis Business Administration BE501 - University of Agder 2017DeMiguel, Garlappi, and Uppa...
© 2018 Dr. Bowei LiThe mean-variance model pioneered by Nobel laureate Harry Markowitz is the founda...
One of the fundamental principles in portfolio selection models is minimization of risk through dive...
This study explores whether optimal asset allocation strategies, defined by permutations and combina...
This study analyzes the economic importance of portfolio advice. Academic studies mainly focus on th...
DeMiguel et al. [DeMiguel V, Garlappi L, Uppal R (2009) Optimal versus naïve diversification: How in...
In this thesis, portfolio optimisation is used to evaluate if a specific sample of portfolios have a...
Empirical thesis.Bibliography: pages 374-380.1. Introduction -- 2. Naïve vs. sophisticated static op...