Improving the performance of investing strategies
Utilizing a mean-constrained variance approach to improve the performance of any given investing strategy
- Editore:
LAP Lambert Acad. Publ.
- EAN:
9783845404837
- ISBN:
3845404833
- Pagine:
- 56
- Formato:
- Paperback
- Lingua:
- Tedesco
Descrizione Improving the performance of investing strategies
In this paper, we evaluate the performance of different mean-variance portfolios, relative to the naïve ¿1/n portfoliö, 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.
