Selection of optimal stock portfolios using accounting information, value-based information and balanced scorecard information. - Study: Companies listed in Tehran

The purpose of the present study is to develop a comprehensive optimal portfolio model using accounting information analysis, value-based information and balanced scorecard information. The statistical population of the research is the companies listed in Tehran Stock Exchange during the period 2007-2017. In order to achieve the objectives of the research, the formulation of dimensionality reduction, data envelopment analysis methods, backing vector machines, and clustering algorithms were used. The above model was implemented in four steps and in each step besides risk and return component, accounting criteria, value based criteria and financial criteria and then non-financial balanced scorecard were used as input step by step portfolio model. The findings of the research indicate that the criteria used in the research for optimizing the portfolio of stocks have informational content and the addition of each set of criteria leads to an increase in the efficiency of the portfolio. This information content of the balanced scorecard is even more impressive. Overall, the simultaneous application of hybrid optimization methods and comprehensive benchmarks extracted from financial reports resulted in a more optimized portfolio and higher risk-taking and Markovitz literature returns.