Markowitz meets Talmud: A combination of sophisticated and naive diversification strategies
The modern portfolio theory pioneered by Markowitz (1952) is widely used in practice and extensively taught to MBAs. However, the estimated Markowitz portfolio rule and most of its extensions not only underperform the naive 1/N rule (that invests equally across N assets) in simulations, but also lose money on a risk-adjusted basis in many real data sets. In this paper, we propose an optimal combination of the naive 1/N rule with one of the four sophisticated strategies--the Markowitz rule, the Jorion (1986) rule, the MacKinlay and Pástor (2000) rule, and the Kan and Zhou (2007) rule--as a way to improve performance. We find that the combined rules not only have a significant impact in improving the sophisticated strategies, but also outperform the 1/N rule in most scenarios. Since the combinations are theory-based, our study may be interpreted as reaffirming the usefulness of the Markowitz theory in practice.
Year of publication: |
2011
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---|---|
Authors: | Tu, Jun ; Zhou, Guofu |
Published in: |
Journal of Financial Economics. - Elsevier, ISSN 0304-405X. - Vol. 99.2011, 1, p. 204-215
|
Publisher: |
Elsevier |
Keywords: | Portfolio choice Mean-variance analysis Parameter uncertainty |
Saved in:
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