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The COVID-19 pandemic has affected all walks of life, including education. Universities have been forced to teach in a blended or online environment, which has led professors to adapt their traditional teaching–learning methodologies. The professors of Mathematics of Financial Operations at the University of Almeria (Spain) have created video tutorials so that students can autonomously prepare the theoretical part of the subject, leaving the face-to-face classes for practical exercises. This article aims to analyze the effectiveness of video tutorials and the autonomy finally achieved by students in their learning. For this purpose, a questionnaire was carried out in which, through 21 questions, the constructs Autonomy, Effectiveness, Depth, Format, Challenge, and Use were assessed. Based on these six latent variables, the proposed model using the Partial Least Squares Structural Equation Modeling (PLS-SEM) methodology revealed that students considered the Format and Depth of the video tutorials crucial for genuinely effective performance learning and promoting their autonomy. On the other hand, the variables Challenge and Use were poorly rated. This article presents an original valuation model, which has the virtue of achieving a prediction of 78.6% and, in addition, has high predictive power.

Research background: Companies are required to implement Corporate Social Responsibility (CSR) policies to mitigate the adverse social and environmental effects of their activities and gain legitimacy in the eyes of society. Sustainability initiatives are costly for companies but, at the same time, they are important value-creation drivers. Retail and institutional investors are increasingly choosing portfolios based on CSR performance. However, the relationship between CSR and market beta has hardly been studied at all in the literature, and no direct comparison of the U.S. and European markets has been conducted. Purpose of the article: The two fundamental variables that define an investment are return and risk, and the appropriate risk-return combination depends on the profile of the investors. This research aims to analyze the relationship between CSR and market risk, understood as price volatility and measured by market beta in the U.S. and European markets. Methods: Companies listed in the S&P 500 and Euro Stoxx 300 indexes from 2015 to 2019 were examined using OLS regressions with instrumental variables (IV) and fixed effects panel data. Findings & value added: The results show that those companies with higher CSR have betas below the market index in the U.S. market as well as lower volatility, and are, therefore, more appropriate choices for risk-averse investors. However, this relationship was not confirmed in the European market. This difference may be justified by two reasons: 1) The non-adherence of the United States to the Kyoto Protocol, resulting in less strict legal regulations than in Europe; 2) In the U.S. market, betas are more aggressive, while in the European market they are more defensive, with little margin for reduction. This research contributes to the current state of knowledge by providing empirical evidence that social, environmental, and corporate governance sustainability practices reduce stock volatility in the U.S. capital market, which is highly relevant for private and institutional investors who make their investments based on moral criteria. The results are current and reliable since they cover a broad and recent period for two of the most important stock market indexes.

Pension systems are one of the fundamental pillars of the welfare state. The ageing of the population caused by longer life expectancy and low birth rates has led to a crisis in the public pension system in developed countries. Changes for the system’s sustainability are necessary, and the scientific literature on the subject is abundant, especially in recent years. This article aims to carry out a bibliometric analysis of the research carried out to date, highlighting, in turn, future lines of research. The study was carried out on a total of 1287 articles published from 1936 to 2021 and found in the Scopus database. The SciMAT, VOSviewer, and Datawrapper tools were used to analyse the most important articles, authors, countries, and institutions by volume of production and citations, as well as the relationships between them. Likewise, the most important keywords and their evolution over time were highlighted, obtaining the main focus of the research. In addition to the general analysis, a specific study was carried out in the area of Mathematics. The results show that the leading countries are the United Kingdom, the USA, and the Netherlands. On the other hand, the lead subject area in which these articles have been published is Economics, Econometrics, and Finance. The research trends are sustainability, pension reform related to ageing, and pension insurance.