-
Anglický jazyk
Improving the performance of investing strategies
Autor: Xavier Saynac
In this paper, we evaluate the performance of different mean-variance portfolios, relative to the naïve "1/n portfolio", that is investing equally on each of n assets. A similar research was already conducted by Victor DeMiguel, Lorenzo Garlappi, and Raman... Viac o knihe
Na objednávku, dodanie 2-4 týždne
45.36 €
bežná cena: 50.40 €
O knihe
In this paper, we evaluate the performance of different mean-variance portfolios, relative to the naïve "1/n portfolio", that is investing equally on each of n assets. A similar research was already conducted by Victor DeMiguel, Lorenzo Garlappi, and Raman Uppal in the paper "Optimal versus Naive Diversification: How Inefficient Is the 1/n Portfolio Strategy?". Nevertheless, we show that using a risk calibration and different test statistic to measure portfolio performance, we reach very different conclusions. We indeed show that Markowitz does outperform the naïve 1/n portfolio and we present a method to maximize the out-of-sample performance of the Markowitz portfolio. We also show that when we add some maximum rebalancing constraints on the asset weights, the Markowitz model still outperforms the 1/n portfolio, and in addition becomes very robust. Finally, we apply this constrained mean-variance method to show that any portfolio can be improved upon.
- Vydavateľstvo: LAP LAMBERT Academic Publishing
- Rok vydania: 2011
- Formát: Paperback
- Rozmer: 220 x 150 mm
- Jazyk: Anglický jazyk
- ISBN: 9783845404837
