Optimal Strategy Design for Portfolio Selection: an Inverse Risk Weighting Analysis

Authors

  • Andrés Felipe Puerta Molina University of Antioquia
  • Henry Laniado Rojas Carlos III University Madrid

DOI:

https://doi.org/10.17533/udea.le.n73a7873

Keywords:

Investment portfolios, securities, profitability, risk, inverse risk weighting

Abstract

This article analyzes the behavior of the portfolio selection strategy that assigns to each asset a weight inversely proportional to individual risk (PIR) in comparison with the classical mean-variance (MV), minimum variance (MINVAR) and 1/N strategies. In doing so and applied to the Colombian stock market, this study performs out-of-sample estimates and provides conditions under which PIR weights lead to less riskier strategies than the 1/N strategy. In conclusion, the evidence suggests that the PIR strategy outperforms classical strategies in terms of profitability indicators, risk, Sharpe ratio, Turnover (cost) and Turnover (stability).

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Author Biographies

Andrés Felipe Puerta Molina, University of Antioquia

Economist Universidad de Antioquia, Candidate Msc in economics Universidad de Antioquia.

Henry Laniado Rojas, Carlos III University Madrid

Mathematician Universidad de Antioquia, Ph.D Candidate in Statistics Universidad Carlos III Madrid.

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Published

2011-02-21

How to Cite

Puerta Molina, A. F., & Laniado Rojas, H. (2011). Optimal Strategy Design for Portfolio Selection: an Inverse Risk Weighting Analysis. Lecturas De Economia, 73(73), 243–273. https://doi.org/10.17533/udea.le.n73a7873

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Articles