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High-Dividend Portfolios with Filters on the Financial Performance and an Optimization of Assets Weights in a Portfolio

Ekaterina Dubova, Sergey Volodin and Irina Borenko

Scientific Annals of Economics and Business (continues Analele Stiintifice), 2018, vol. 65, issue 3, 347 - 363

Abstract: This paper is dedicated to the investigation of the strategies related to the high-dividend portfolio investment. The aim of this research is to increase the high-dividend portfolio efficiency by adding some filters and optimization weights of the assets in the portfolio. In order to achieve this goal, the authors complement the classical version of the «Dogs of the Dow» strategy with financial indicators ROA and P/E with equal and optimized weights of the assets in each portfolio. Two additional parameters are also used in the process of testing: the number of stocks and the month of the annual portfolio rebalancing. Thus, the obtained models have high-quality advantages in comparison with the traditional concept of high-dividend investing, eliminating its inherent disadvantages and providing higher rates of return. JEL Codes - G11

Keywords: high-dividend models; «Dogs of the Dow»; portfolio investment (search for similar items in EconPapers)
Date: 2018
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