ISSN: 0186-1042 ISSN-e: 2448-8410
Semi-variance optimization for the components of the Dow Jones Industrial Average index
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Keywords

downside-risk
semi-variance
portfolio selection
mean-variance
passive management

How to Cite

Samaniego Alcántar, A. (2023). Semi-variance optimization for the components of the Dow Jones Industrial Average index. Accounting & Management, 68(4), e409. https://doi.org/10.22201/fca.24488410e.2023.3409

Abstract

This study contributes to passive portfolio management by comparing four ways for asset allocation. Index investing, mean-variance optimization, equal-weighting and semi-variance optimization are compared as part of the investment strategy aimed at outperforming the Dow Jones Industrial Average (DJIA). The best way to allocate assets was the optimization of portfolios looking for the minimum semi-variance. Yield spreads below the performance of the DJIA and the components of this index are used to the semi-variance. The best strategy has a 65.2% probability of outperforming the DJIA annual return. 5,134 simulations are run between 2000-2020. An abnormal annual return of 0.42% and a beta of 0.95 obtained with the CAPM was achieved.

https://doi.org/10.22201/fca.24488410e.2023.3409
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