Multicriteria ordinal classification to improve strategic planning in the financial sector of the company.

Globalization has changed the way companies do business in the world by trying to reach the objective of having a greater presence in more countries through strategic alliances, company acquisitions, investment projects, among others. For this purpose, companies need decision-making support to generate strategies that consider consumer demands in order to consolidate their presence. The aim of this study is to propose a novel methodology to facilitate the generation of efficient strategic planning in the financial area of the company. The proposed approach is based on the historical recognition of patterns and prediction of scenarios for multi-criteria ordinal classification using a recent classifier method. A Back-testing comparison with a benchmark is performed to show the effectiveness of the proposed methodology. [ABSTRACT FROM AUTHOR]