1,720,959 research outputs found

    Fintech governance and performance: Implications for banking and financial stability

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    This paper explores the relationship between governance and performance of Fintech firms recalling Resource-Based View and Upper Echelons Theory principles. Using a pooling model, we identify key characteristics of Chief Executive Officers (CEOs) and Boards of Directors (BoDs) that can improve profitability and lower risk in Fintech firms. The findings highlight that an older BoD increases risk and profitability, while a larger BoD reduces returns and risk. Furthermore, having a female CEO impacts the likelihood of default, while CEOs with expertise in management or law are associated with lower profitability. The study provides empirical evidence that governance structures can decrease Fintech risk and increase financial stability, addressing a previously overlooked research area. Informed decisions by banks about Fintech partnerships, based on enhanced governance, can mitigate risks, and improve the overall stability of the financial system

    Business model and ESG pillars: The impacts on banking default risk

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    The recent banks' failures have highlighted the importance of improving banking sector supervision, emphasizing the need to adopt a holistic approach to risk assessment based on an evaluation of a bank's business model (BBM) that combines financial (e.g., bank's balance data) and non-financial information (e.g., bank's ESG performance). In this study, we explore the joint effect of BBM and their environmental (ENV), social (SOC), and governance (GOV) pillars performance on banks' riskiness profile. The study uses a sample of 639 EU banks from 2013 to 2022 and applied a random effects model. Our findings suggest wholesale and retail banks could mitigate default risk, enhancing their ENV pillar performance. Differently, investment banks are encouraged to improve their governance best practices and structure to take advantage in terms of riskiness reduction. These results remain consistent after a series of robustness tests, including the 2SLS model and the Arellano coefficient estimation. Our paper offers practical implications for banking supervisory authorities and practitioners, encouraging to adopt a diversified ESG investment strategy according to bank-specific business models

    Assessing the influence of ESG score, industry, and stock index on firm default risk: A sustainable bank lending perspective

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    Using a European sample of 211 listed firms from 2013 to 2022, we analyze the mitigation effect on firms’ probability of default (PD) provided by the influence of ESG performance combined with industry and stock index membership. The results show that improvements in environmental scores reduce PD; while firms’ riskiness increases when we control for industry and stock index. From a banking perspective, we encourage a holistic approach integrating ESG scores into lending practices, adjusted by industry or stock index. Policymakers and regulators should support the widespread adoption of ESG metrics in assessing credit risk

    The impact of sustainability-oriented practices on banking efficiency. An analysis through DEA model.

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    This chapter analyses whether banks’ sustainability-oriented practices are factors that positively affect a bank’s operational efficiency. To achieve the aim of the study, a non-parametric Data Envelopment Analysis (DEA) is applied to calculate banking efficiency. Second, using a panel data analysis on a worldwide sample of 205 listed banks, observed for the period 2018–2023, the study assesses the impact of sustainability practices on bank efficiency. The findings indicate that governance and social practices significantly enhance banking efficiency, while environmental innovation poses short-term efficiency challenges due to high initial costs. As managerial implications, this chapter emphasizes the need for banks to strategically balance sustainability efforts with operational goals, aligning practices with regulatory requirements to achieve sustainable growth

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author Index

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