Ecology

Stock (firearms)

Biology

Optimization algorithm

Statistics

Portfolio

Archaeology

Variable (mathematics)

Economics

Computer science

Mathematical optimization

Competition (biology)

Mathematics

Geography

Econometrics

Mathematical analysis

Financial economics

Portfolio optimization

Frontiers in Applied Mathematics and Statistics

In this paper, we present the methodology and results of the portfolios submitted to the HorseRace competition. The nine portfolios were constructed by applying the Mean-ETL optimization approach. The Mean-ETL optimization approach uses three fundamental variables (REG10, CTEF and MQ) and three stock universes (GL, XUS and EM), with each of the three fundamental variables applied one at a time to one of the three universes. This study assesses the return of the nine portfolios, and we report that all of these Mean-ETL portfolios produce positive active returns and most of them are statistically significant. Additionally, MQ variable is found to be the best among these three variables in the Mean-ETL portfolio construction.

Mean-ETL Optimization in HorseRace Competition