Cross-sectoral detection of the Return on Equity determinants based on the 7-factor DuPont model

Abstract

Background: The basis for the research was the assessment of the financial data results of several companies listed on the Warsaw Stock Exchange, directly collected from the EMIS database as well as said companies’ websites, during the horizon from 2008 until 2017.

Research purpose: The main objective of the paper was to use the 7-factor DuPont model to calculate the cross-sectoral detection of the fundamental determinants of Return on Equity (RoE) of several companies listed on the Warsaw Stock Exchange operating in the industrial sector, the consumer goods sector, and the trade and services sector, as of the 8th of December 2018. The re­searchers hypothesised that there would be cross-sectional differentiation of RoE elements, as each of them are elements of the 7-factor Du Point model.

Methods: The paper analysed selected descriptive statistics of every component of the 7-factor Du­Pont model, used the version of the Pearson correlation coefficient that closely follows the t-distribu­tion in order to examined correlations between individual components of the DuPont model and return on equity, and constructed an Ordinary Least Squared (OLS) model assessing the impact of the seven components of the DuPont model in the period t on the surveyed companies’ RoE in the period t.

Conclusions: The hypothesis was that cross-sectoral difference of RoE elements would be found according to the DuPont model. However, the evidence disproved the hypothesis, suggesting that the Capital Multiplier was the leading factor shaping the level of RoE in the companies, and with the Capital Multiplier also expressing a negative correlation of moderate strength to companies’ RoE.