Journal of Emerging Technologies in Accounting, Auditing and Finance (JETAAF)

Objectives: This research aims to investigate the influence of tax avoidance on bank loan contracts, with a focus on the moderating role of disclosure quality from 2013 to 2019. Design/methodology/approach: The methodology involved gathering data through document mining and referencing bank information. Regression models, including ordinary least squares and logistic methods, were used to fit the data. The panel data model was utilized to test the research hypotheses. Results: Tax avoidance was found to have a positive effect on bank loan contracts. The impact of disclosure quality on this relationship varied depending on the criteria used to measure tax avoidance. When the effective rate of cash tax paid was used, tax avoidance reduced the three criteria of bank loan structure, cost, and collateral. When using the book tax difference criterion, tax avoidance also reduced the three criteria of structure, cost, and risk of non-payment of bank loans. Innovation: By focusing on the quality of disclosure as a mechanism to reduce information asymmetry and agency costs, the negative effects of tax avoidance on bank loan contracts can be mitigated.

Objectives: The benefits of risk management can be defined as increasing efficiency and effectiveness, facilitating and streamlining, reducing costs, speeding up and time reducing of operations, improving communication, ensuring control over the system, identifying threats related to the project with the system, and helping to achieve goals on time. Therefore, according to the necessity of implementing comprehensive risk management in all firms, the current research is dedicated to this issue, considering the problems in financing firms in the competitive market. This study investigates the effect of business risk management on financing costs by considering managers' abilities. Design/methodology/approach: The statistical population of the research is the firms listed on the Tehran Stock Exchange from 2013 to 2022. Using the systematic elimination screening method, the 132 firms have been considered as the final sample of the research. Results: The results showed that risk management has an inverse effect on the cost of financing and moderates the managers' ability in this relationship. Innovation: The present research can provide new evidence for the development of the literature on the subject. The results of this research can also help users of financial information make better decisions.

Objectives: Achieving sustained and long-term economic growth requires efficient resource allocation. This research aims to enhance optimization methods based on Sharpe Ratio performance and introduce an intelligent trading method utilizing various algorithms. Design/methodology/approach: A quantitative investment model is developed using the Momentum Algorithm and a long-term investment model over a six-year horizon. The model is applied monthly from 2019 to 2023 within the stock exchange framework. Additionally, a series of smart models (Overall Functions, Overall Mean, and Overall Algorithm with Kalman Filter) are created to determine capital amounts using intelligent patterns. Findings: The findings demonstrate that the proposed structure outperforms conventional algorithms, indicating it can serve as a viable alternative for achieving superior investment outcomes. Innovation: This research contributes to the existing literature by introducing advanced optimization techniques that leverage intelligent algorithms for trading strategies. The findings provide new insights into capital allocation efficiency and risk management in financial markets.

Objectives: The present study aims to investigate the relationship between audit quality and risk-taking behavior in firms, focusing on the mediating role of company size in value creation. Design/methodology/approach: This research is applied and employs a causal correlation methodology. The statistical population consists of all firms listed on the Tehran Stock Exchange. A systematic sampling method was utilized to select 140 firms as the study sample, covering a period of 7 years from 2017 to 2022. Findings: The hypotheses were tested using simple and multiple linear regression analyses after verifying classical assumptions and applying the Chow test due to the mixed nature of the research data. The results indicate that both audit quality and risk-taking have a positive and significant effect on value creation. Additionally, company size plays a crucial mediating role in the relationship between audit quality, risk-taking, and value creation. Innovation: This ongoing research provides compelling evidence that effective political communication can mitigate the risk of lawsuits against auditors, thereby enhancing audit quality. These findings underscore the importance of integrating governance practices that foster transparency and accountability in financial reporting.

Objectives: This study aims to rigorously investigate the relationship between financial constraints faced by companies and the phenomenon of cost stickiness. Understanding this relationship is crucial for effective financial management and strategic decision-making. Design/methodology/approach: To achieve the research objectives, a comprehensive dataset comprising 132 firms listed on the Tehran Stock Exchange was meticulously selected using a systematic exclusion model. The analysis spans an 8-year period from 2015 to 2022. A linear multivariate regression model was employed to robustly test the research hypotheses. Findings: The empirical results reveal a direct and statistically significant relationship between financial constraints and cost stickiness. This finding indicates that companies experiencing financial limitations tend to exhibit greater cost stickiness, which can adversely affect their operational efficiency. Innovation: This research contributes valuable insights by demonstrating that effective management of financial crises can significantly mitigate cost stickiness. By highlighting this relationship, the study underscores the importance of proactive financial strategies in enhancing corporate resilience and performance.

Objectives: This study analyzes the components of privatization, assigns weights to these components, and develops a privatization model based on financial and non-financial factors. Design/methodology/approach: The research employs purposeful, explanatory, and exploratory methods to identify privatization patterns. Utilizing the Delphi method and structural interpretive modeling, data was collected from existing literature and insights gathered from managers and policymakers in privatization organizations. Six criteria were established as key components of privatization: economic factors, financial and accounting criteria, political factors, promotion of the private sector, government performance, and cultural/public dimensions. A hierarchical approach was used to construct a tree structure for evaluating options based on these criteria. Expert Choice software was utilized to prioritize components and propose an optimal model. Findings: The findings indicate that political factors ranked highest among the components, followed by economic factors, financial and accounting criteria, and promotion of the private sector at the second level. Government performance and cultural/public dimensions were rated at the third level. Innovation: The results could significantly impact decision-making in the private sector by enhancing efficiency. By prioritizing key components of privatization, this research suggests potential changes to current decision-making practices within the privatization sector.