Impacts of Utilizing Different Management Accounting Techniques on the Efficiency of Organizational Management Control Systems: A Structural Equation Model
اصغر عزیزی, علی اصغر انواری رستمی, رسول عبدی, نادر رضایی
Corporate social responsibility and bankruptcy probability: Exploring the role of market competition, intellectual capital, and equity cost
Hashem Kamalirezaei, Ali Asghar Anvary Rostamy, Ali Saeedi, Mohammad Khodaei Valeh Zaghard
Journal PapersJournal of Corporate Accounting & Finance , Volume 31 , Issue 1, 2020 January , {Pages 53-63 }
Abstract
This research investigates the relationship between corporate social responsibility and the probability of bankruptcy and explains the moderating role of the structure of market competition, intellectual capital, and equity cost on this relationship. Using a sample of the Tehran Stock Exchange during 2009–2016, panel data, and logit‐ranking model, we find an inverse relationship between corporate social responsibility and the probability of bankruptcy. Results from additional analyses show that corporate social responsibility has a significant inverse relationship with the probability of bankruptcy and when the market structure moves to a monopoly, the probability of bankruptcy is reduced due to high market entry costs for other compan
Identifying and Evaluating Components of Tax System Compatible with Economic Development of Iran Using Delphi Combined Method and Multi-Criteria Decision Making
Kiuomars Amiri, Ali Asghar Anvary Rostamy, Mehrdad Ghanbari, Babak Jamshidinavid
Since the tax system is the main source of government revenue and fiscal policy instruments for distributing income and wealth and is highly sensitive to economic fluctuations and shocks to GDP, it is considered to be the decisive factor in the realization of the economy. Therefore, the evolution of the tax system is necessary to improve its status in terms of its functions and to achieve the objectives set forth in the Sixth Schedule, in particular its quantitative objectives. Therefore, the present study first examines the current state of the tax system within the framework of tax indices and explains the objectives of the sixth plan for each of these indices and then, considering the major challenges of the tax system, plans to create T
A data mining approach to predict companies’ financial distress
Rasoul Tahmasebi, Ali Asghar Anvary Rostamy, Abbas Khorshidi, Seyyed Jalal Sadeghi Sharif
Journal PapersInternational Journal of Financial Engineering , Volume 7 , Issue 03, 2020 September 13, {Pages 2050031 }
Abstract
Financial distress and companies’ failure have always been a complicated and intriguing problem for businesses. Because of the unfavorable impacts of financial distress on companies and societies, accounting and finance researchers around the world are thinking of ways to anticipate corporate financial distress. Several models are provided in the literature for predicting financial distress. This research develops nonlinear decision tree and linear discriminant analysis models to predict financial distress of companies listed in Iranian Stock Exchange during 2010 to 2015. The drivers are firms’ financial ratios, intellectual capital and performance indicators. According to the results, intellectual capital and financial performance indi
This study investigates the impacts of intellectual capital on the liquidity of assets and stocks and the bankruptcy likelihood. Multivariate regression models with combined data used to test the hypotheses. Using a sample of 147 companies listed on the Tehran Stock Exchange during 2010–2017, the results indicate that intellectual capital has a positive effect on the liquidity of assets and the liquidity of stocks, and that it has an inverse relation with the bankruptcy likelihood. Moreover, we found that the liquidity of assets has a negative effect on the bankruptcy likelihood. However, the liquidity of stocks has no significant effect on the bankruptcy likelihood. In general, the findings of this study provide evidence of the effectiv
Corporate Financing Strategies in Normal and Crisis Conditions: Evidence from Tehran Stock Exchange
Saman Rahmani Noroozabad, Ali Asghar Anvary Rostamy, Karam Khalili, Esfandiyar Modhammadi
Journal Papers , 2020 January , {Pages }
Abstract
Objective: This research investigates the financing strategies of companies under normal and the economic crisis conditions over the years 2003-2016.Method: The statistical population of this research consists of companies listed on the Tehran Stock Exchange and Iran Over-The-Counter market (OTC). Research hypotheses have been tested through Multivariate Regression Equation. Results: The findings indicate that in both normal and crisis periods, the ROA (Return on Assets) and size of the company have a positive impact on the financing through the stock market. In addition, despite the negative impacts of sales growth, profitability, and average financial leverage on equity financing, tangible assets and market risk fail to indicate any effec