Business Management
fatemeh samadi; idin namegh; maasomeh jafari
Articles in Press, Accepted Manuscript, Available Online from 02 December 2023
Abstract
Studying the prudence behavior of banks and the factors affecting it is of paramount importance for economic and financial policymakers, given the role banks play in financial markets and the rapid reflection of policies in this sector throughout the economy. Thus, this study mainly aims ...
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Studying the prudence behavior of banks and the factors affecting it is of paramount importance for economic and financial policymakers, given the role banks play in financial markets and the rapid reflection of policies in this sector throughout the economy. Thus, this study mainly aims to examine the role of ownership concentration and bank size on the relationship between financial statement comparability and bank risk-taking. This is a correlation-regression analysis research study that uses an applied methodology in terms of performance outcome. The research period is seven years, including the financial statements of 2014-2020. The statistical population consists of banks listed on the Tehran Stock Exchange (TSE) selected by the screening method. Besides, econometric models were used to test research hypotheses and determine the relationships between independent and dependent variables, and the relevant hypotheses were examined using multivariate panel regression. The results demonstrated that financial statement comparability has a significant negative effect on bank risk-taking. It was also found that bank size and ownership concentration have a moderating effect on the relationship between financial statement comparability and bank risk-taking.
Business Management
Aghila Sasidharan; Manav Duggal
Volume 7, Issue 3 , July 2023, , Pages 12-22
Abstract
This study aims to examine the impact of environmental social and governance (ESG) on firm value using a sample of firms listed in China. Using fixed effect panel regression analysis on a sample of firms listed on the Shanghai stock exchange of China, we find that ESG has a positive impact on firm value ...
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This study aims to examine the impact of environmental social and governance (ESG) on firm value using a sample of firms listed in China. Using fixed effect panel regression analysis on a sample of firms listed on the Shanghai stock exchange of China, we find that ESG has a positive impact on firm value consistent with shareholders theory. This approach highlights the value-enhancing potential of sustainability initiatives for all stakeholders, including shareholders. Future studies should examine the influence of ESG ratings on a broader scale, for as, by including small and medium-sized firms (SMEs) in the sample.Our findings provide implications for practitioner’s regulators and policy makers. Our study contributes to the existing literature on sustainability by focusing more on ESG in concentrated ownership country like China. Overall our findings confirm that sustainability reports carry information that is helpful for firm valuation and firms benefit from disclosing ESG activities by receiving higher tax benefits and having the potential to increase their loan capacity.
Business Management
Nemer Badwan; Lamees Al-Zoubi; Suhaib Al-Khazaleh
Volume 7, Issue 1 , January 2023, , Pages 1-27
Abstract
Financial risk management and risk identification management have evolved into critical components of global supply networks. Machine learning, business intelligence, and big data technologies are used to detect system risks, manage financial risks, and help identify the cause of risks. The company may ...
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Financial risk management and risk identification management have evolved into critical components of global supply networks. Machine learning, business intelligence, and big data technologies are used to detect system risks, manage financial risks, and help identify the cause of risks. The company may strive to improve the source of the risk. The methodology concentrates on three major supply chain danger areas: shipping, marketing, and distribution, with a licensed insurance model built, evaluated, and matched to current approaches before being adjusted based on the results. In this scenario, we're also using Business Intelligence (BI), which helps businesses make better data-driven decisions. As a result, reduce losses incurred. A framework of risk detection models based on machine learning, business intelligence and big data is provided to control financial risks in the supply chain. This study aims to identify risks, identify their sources and mitigate them. The proposed approach focuses on three distinct areas of supply chain risk: transportation, sales, and delivery. A risk disclosure model is used, tested, compared with existing methodologies, and then refined depending on the results for each area. Regardless of the supply chain data used, the proposed method is adaptable to any other type of supply chain.