Pavel Anselmo Álvarez Carrillo

This chapter presents a multicriteria hierarchical process approach for decision-making in selecting Exchange-Traded Funds assets of leading companies listed on stock exchanges worldwide. One of the problems investors often face is deciding which short-term investment strategies to include in an investment portfolio that features low-cost assets and a diversified approach. The chapter enables investors to answer this question through a hierarchical approach and the ELECTRE III method, utilizing different criteria based on financial ratios and the primary risk indices in the stock market. Finally, a ranking is obtained based on the investor's profile and their risk acceptance preferences for integrating an investment portfolio with ETF assets.

An artificial intelligence procedure (AIP) model is presented to generate a robust multicriteria ranking for decision-making in problems with a large number of criteria, which jointly uses genetic algorithms, the OWA method, and SMAA. The main contribution of this AIP model is to reduce the cognitive effort of the decision-maker in determining the weights of the criteria involved in the decision problem, since, with the proposed model, these weights are inferred according to the decision-maker’s preferences, which can result in a ranking of the alternatives called a robust ranking. Robustness provides the expert with the certainty that, despite variations in their preferences and, therefore, in the weights inferred by the model, the presented robust ranking will not undergo significant changes, giving stability to the decision-making solution in a stable environment and reflecting the decision-maker’s preferences. This is one of the main contributions of applying the AIP model, unlike other models that do not provide a robust solution, as described in the application of the proposed AIP model to a multicriteria decision problem with many criteria, such as the state competitiveness analysis problem presented by the Mexican Institute for Competitiveness (IMCO).

Este artículo analiza la violencia de género en los municipios del estado de Sinaloa. El análisis se basa en datos recopilados de denuncias por violencia en el estado y examina diversos factores que contribuyen a su manifestación desde un enfoque multifactorial. En este sentido se consideran indicadores como violencia sexual, física, económica y psicológica. Estos indicadores se analizan desde un enfoque multicriterio comparando así el nivel de violencia de género entre municipios de Sinaloa. La identificación de los municipios con la mayor incidencia de denuncias y manifestaciones de violencia de género resulta fundamental. Los hallazgos de esta investigación ofrecen un ordenamiento claro de los municipios, desde los más violentos a los menos violentos con perspectiva de género. Esta información puede constituir una herramienta invaluable para los formuladores de políticas públicas, facilitando el diseño e implementación de estrategias efectivas destinadas a mitigar este persistente problema social.

Nearshoring investment represents an important factor, which has notable effects on economic growth. Nearshoring has been studied in terms of its motivations and driving factors. The aim of the paper is to present the main contributions in this field through a bibliometric analysis, using the Web of Science database. Authors, institutions, journals, and countries of great influence that studied the topic from 2007-2023 are identified. The study allows to summarize the current state and development trends of nearshoring. VOS viewer software has been used to create graphic maps and visualize the connections existing in the study. The results show an increase in attention on the topic.

La investigación tiene como objetivo dar soporte para la toma de decisiones en el problema de evaluación y selección de acciones de la Bolsa Mexicana de Valores (BMV) con un enfoque de gobernanza, social y ambiental. El problema se analiza desde un enfoque jerárquico multicriterio para la toma de decisiones, aplicando el método ELECTRE III, y utilizando indicadores financieros y de sostenibilidad. Los resultados permiten generar diversos ordenamientos considerando la jerarquía de los indicadores financieros de las acciones. Esto permite el apoyo al perfil del inversor en seleccionar acciones para inversión. Al utilizar indicadores financieros pueden omitirse características importantes de otros factores de las acciones. Por ello, podrían considerarse otros indicadores no financieros. El enfoque multicriterio en la evaluación de inversión es cada vez más utilizado en la toma de decisiones. El enfoque de gobernanza, social y ambiental en las acciones es innovador al considerar la sostenibilidad en la inversión. Se identifican las mejores acciones de la BMV con relación a la sostenibilidad en la inversión.

The main objective of this article is to present the formulation of a Capital Asset Pricing Model ordered weighted average CAPM_OWAand its extensions, called CAPM-induced OWA (CAPM_IOWA), CAPM Bonferroni OWA (CAPM_Bon-OWA), and CAPM Bonferroni-induced OWA CAPM_Bon-IOWA. A step-by-step process for applying this new proposal in a real case of formulating investment portfolios is generated. These methods show several scenarios, considering the attitude, preferences, and relationship of each argument, when underestimation or overestimation of the information by the decision maker may influence the decision-making process regarding portfolio investments. Finally, the complexity of the method and the incorporation of soft information into the modeling process lead to generating a greater number of scenarios and reflect the attitudes and preferences of decision makers.

Attracting foreign investment is essential for the competitiveness and prosperity of nations. When deciding where to invest, an investor may be interested in considering specific criteria for investing or doing business and preferences for those criteria. In the same way, when evaluating the situation of a country to attract investment, consider different aspects to determine its ease of doing business. The MultiCriteria Decision-Making (MCDM) methodology is suitable for evaluating nations according to their ease of doing business due to the multifactorial elements of each nation. This work applied the ELECTRE-III method; it evaluated 190 nations based on the decision-maker’s preferences, giving different importance to the ten criteria considered in the World Bank’s Doing Business 2020 study. The results with this methodology show better-positioned nations in the ranking compared to the report presented by the World Bank Group.

One of the problems investors often face is deciding on the stocks to include in an investment portfolio. Hence, this article seeks to select investment portfolios considering the 30 leading companies listed on the New York Stock Exchange (NYSE) of the Dow Jones Index. Portfolio selection in this index is carried out by generating a previous ranking of the shares with a novel approach that analyzes their performance using a multiple criteria hierarchical process (MCHP). The current research allows the evaluation of shares and optimizing a portfolio, while developing a procedure that supports a decision-making process for organizations or practitioners to invest in the stock market. The results of analyzing the NYSE generated a portfolio that can be used for interested investors. The main contribution of the application of MCHP and Markowitz model is related to the possibility of replicating the developed procedure to select portfolios in other stock markets.