List of Articles nader rezaei

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  1 - Optimization of auditing strategies in companies listed on the Tehran Stock Exchange
  Sajjad Azizi Barani Rasoul Abdi Nader Rezaei Asgar Pakmaram
  10.22034/amfa.2022.1925641.1575
  Accounting processes and their related decisions play an important role in organizing business. If the organization does not have a comprehensive accounting system, managing it will face many problems such as liquidity deficit, tax penalties and so on. Therefore, optimi More

  Accounting processes and their related decisions play an important role in organizing business. If the organization does not have a comprehensive accounting system, managing it will face many problems such as liquidity deficit, tax penalties and so on. Therefore, optimizing accounting processes is essential for managing an organization and improves the company's performance and greater efficiency for business activities. On the other hand, estimates and subjective judgments in preparing financial statements have caused controversy among auditors and owners. In particular, in cases where the standards are not clear, the use of unavoidable judgment and mentality creates ambiguity in financial reporting. This is while the ultimate value of audit activity is in helping the user to determine the quality of the information received. On the other hand, the financial reporting crises of recent years have focused the attention of researchers and professional associations on increasing the reliability of audit reports and reducing negligence. Therefore, considering the importance of auditing and the quality of financial reporting, this study examines and analyzes auditing strategies and determines the optimal strategy to improve the quality of financial reporting. For this purpose, 120 companies active in the Tehran Stock Exchange, which have a legal and formal audit system and use external audit firms for auditing, are considered as a statistical sample based on the counting method, and the senior supervisors, managers and partners of this Companies have been questioned. Manuscript profile
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  2 - Comparing the Performance of Machine Learning Techniques in Detecting Financial Frauds
  Jafar Nahari Aghdam Qala Jougha Nader Rezaei Yagoob Aghdam Mazraee, Rasol Abdi
  Detecting financial fraud is an important process in the activities of compa-nies. In the last decade, much attention has been paid to fraud detection techniques. Financial fraud is a problem with far-reaching implications for shareholders. Today, financial fraud in com More

  Detecting financial fraud is an important process in the activities of compa-nies. In the last decade, much attention has been paid to fraud detection techniques. Financial fraud is a problem with far-reaching implications for shareholders. Today, financial fraud in companies has become a big prob-lem. Companies and regulatory agencies must continuously develop their mechanisms to detect fraud. Machine learning and data mining techniques are currently commonly used to solve this problem. However, these tech-niques still need to be improved in terms of computational cost, memory cost, and dealing with big data that is becoming a feature of current financial transactions. In this research, machine learning techniques including logistic regression, neural network, and Bayesian linear regression were used to de-tect financial frauds in the Iranian stock market. According to the obtained results, the support vector machine model with radial kernel has the lowest RMSE and the highest accuracy criterion, and the support vector machine model with linear kernel and Bayesian linear regression has the highest RMSE and the lowest accuracy criterion for modeling the financial fraud of companies in they were Tehran stock market. Also, the models of artificial neural network model, Bayesian linear regression and support vector ma-chine model with linear kernel respectively had the lowest characteristic values and did not perform relatively well in detecting the existence of fi-nancial fraud in the companies present in the Tehran stock market. Manuscript profile
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  3 - Providing the optimal model for stock selection based on momentum, reverse and hybrid trading strategies
  Seyed Saadat Hosseini Asgar Pakmaram Nader Rezaei Rasol Abdi
  Momentum strategy, despite its outstanding performance, offers different results at different time intervals. In this study, we aimed to provide an opti-mal model for stock selection based on momentum, reverse and hybrid trad-ing strategies using the data panel model. T More

  Momentum strategy, despite its outstanding performance, offers different results at different time intervals. In this study, we aimed to provide an opti-mal model for stock selection based on momentum, reverse and hybrid trad-ing strategies using the data panel model. The present research method was applied on the information of 180 companies in the period 2011 to 2021 was used to estimate the model. (Eviews12) software has been used to estimate the models. Based on the results of 8 time periods of 3, 6, 9, 12, 24, 36, 48 and 60 months based on different momentum and inverse strategies and a combination of loser, winner and loser-winner, winner-loser were analyzed. According to the data panel method, the studied strategies in small companies give more additional returns to investors than large companies. Also, based on the results of hybrid strategies, investors will receive more additional returns in the long run than simple momentum strategies. Manuscript profile