Accounting tools
Zahra Jafari; Rahim Bonabi Ghadim; Rasoul Abdi
Abstract
The purpose of this research is evaluation of effective criteria on the desirability of financial stability integration based on the comparison of metaheuristic algorithms banks listed in Tehran Stock Exchange. This study is considered to be a combined and applied methodology. In this way, firstly, through ...
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The purpose of this research is evaluation of effective criteria on the desirability of financial stability integration based on the comparison of metaheuristic algorithms banks listed in Tehran Stock Exchange. This study is considered to be a combined and applied methodology. In this way, firstly, through the systematic content screening process, the effective criteria on the desirability of financial stability integration are used to evaluate banks listed in Tehran Stock Exchange. Then, relying on the two algorithms of Particle Swarm Optimization and Gray Wolf and extracting data related to the criteria identified between 2017 and 2018 effort is made to determine the optimal point of desirability of financial stability integration of banks listed in Tehran Stock Exchange. In this process, according to the expansion of the mathematical equations of each Metaheuristic Algorithms and the command codes of the MATLAB software, necessary action is taken to answer the research questions. The results of the study showed that both innovative algorithms used in this study have the necessary capability to determine the desirability of the financial stability of banks listed in Tehran Stock Exchange. But based on the Wilcoxon Signed-Rank Test coefficients, the gray wolf algorithm is more accurate than the particle swarm optimization algorithm for predicting the function of the identified criteria in determining the desirability of financial stability of banks listed in Tehran Stock Exchange.
Accounting tools
Mehri Bakhteyari; Javad Rezazadeh; kumars Biglar
Abstract
The implementation of the engagement quality control review (EQCR) by the engagement quality control reviewer has been considered as one of the key elements of quality control in the auditing standards and its implementation is required in the audit of companies listed on the stock exchange. In this ...
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The implementation of the engagement quality control review (EQCR) by the engagement quality control reviewer has been considered as one of the key elements of quality control in the auditing standards and its implementation is required in the audit of companies listed on the stock exchange. In this research, the data were collected through (1) conducting interviews with 25 partners of Iranian auditing firms in the spring and summer of 2023 and (2) the opinions of 12 certified accountants that were published in a newspaper or professional journals in the form of a conversation, round table, notes or articles. Then, by applying the grounded theory, the components that are the obstacles to the effective application of EQCR are identified and presented in the form of a conceptual system model. The validity of the research model was confirmed by 7 audit partners. The findings from the analysis of research data show that there are various obstacles in its different dimensions, the most important of which are: the structure and organization of some audit firm, the small size of many audit firms, economic considerations, low fees of Iranian audit firms, lack of qualified auditors, moral issues in the society, the society's specific problems, governing laws and regulations, weaknesses in quality grading of audit firms, inadequate communication with international professional communities, low awareness of auditing and lack of development, and low application of technology in Iranian audit firms. Considering that the international auditing standard 220 has been updated and includes more requirements for the EQCR, along with the findings of this research showing that the quality control standard is not effectively implemented by Iranian audit firms, some suggestions are given to fill these gaps.IntroductionThe objective of a firm is to design, implement, and operate a system of quality control for audit, review of financial statements, or other assurance or related services engagements performed by a firm, that provides the firm with reasonable assurance that: (a) The firm and its personnel fulfill their responsibilities in accordance with professional standards and applicable legal and regulatory requirements, and conduct engagements in accordance with such standards and requirements; and (b) Engagement reports issued by the firm or engagement partners are appropriate in the circumstances. According to the auditing standards, engagement quality review is an objective evaluation of the significant judgments made by the engagement team and the conclusions reached thereon, performed by the engagement quality reviewer and completed on or before the date of the engagement report. Engagement quality reviewer is a partner, other individual in the firm, or an external individual, appointed by the firm to perform the engagement quality review (IAASB, 2020). Surveys show that engagement quality control review, as one of the key elements of quality control, has not been established in Iranian audit firms. Its causes have not been clarified in previous research. Therefore, in this research, we seek to clarify its causes and obstacles.Research Question(s)What are the obstacles of applying engagement quality control review in Iranian audit firms?Literature ReviewEngagement quality control review is one of the key elements of the quality control system of auditing firms, which is considered in the auditing standards. The literature review shows that this issue has not been studied in Iran. However, some Iranian certified public accountants and audit firm partners have pointed out some obstacles of implementing quality control reviews in the form of notes and roundtables published in professional journals. The Public Company Accounting Oversight Board has described the key issues of quality control review in the United States in 2023 in a report entitled " SPOTLIGHT: Inspection Observations Related to Engagement Quality Reviews". This report shows that there are still many concerns about the quality control review (PCAOB, 2023).MethodologyConsidering the nature of the research problem, which is subjective and relies on the experience of audit institution partners, the application of a qualitative research approach is deemed appropriate. Additionally, since no specific theory has elucidated this phenomenon and there has been no prior research in this area, the use of grounded theory is fitting. Conducting interviews is one of the main methods of data collection in grounded theory (Strauss & Corbin,1990). Therefore, research data have been collected through interviews. Interviews were conducted with 25 partners of audit firms in the spring and summer of 2023. It is noteworthy that in grounded theory, all information is considered as data (Danai Fred et al., 2013). Hence, discussions, roundtables or articles published by 12 Iranian certified public accountants in professional journals or newspapers were also used as data. In the qualitative method of research, unlike the quantitative approach, statistical sampling is not important and sampling is judgmental. That is, people who have the most experience and involvement with the studied phenomenon are selected. Interviews with participants continue until theoretical saturation is reached, meaning that new participants do not introduce new insights beyond what has already been discussed.The interviews are then transcribed, and conceptual tags are attached to each sentence or paragraph of the text. In grounded theory, data analysis is done in three stages: open coding, axial coding, and selective coding. In this research, three methods were used to analyze the data.ResultsAfter conducting the research and data analysis, it is found that there are various obstacles in various dimensions for the application of quality control in Iranian audit firms. These obstacles were extracted in the form of conceptual tags. Based on selective coding, they were classified into different categories. To provide a comprehensible presentation of the barriers, these conceptual labels were categorized and presented in the form of inputs, processes, outputs, consequences, and contextual factors. Presenting these conceptual labels of obstacles in different dimensions helps us to have an accurate picture of the causes and obstacles so that we can adopt strategies to solve them. Some of the most important obstacles are: the structure and organization of some audit firms, the small size of many audit firms, economic considerations, low fees of Iranian audit firms, lack of qualified auditors, moral issues in the society, the society's specific problems, governing laws and regulations, weaknesses in quality grading of audit firms, inadequate communication with international professional communities, low awareness of auditing, and lack of development, and low application of technology in Iranian audit firms.DiscussionIn this research, after analyzing the data, many obstacles are extracted in various dimensions. These factors limit the effective implementation of engagement quality control review as one of the key elements of the audit quality control system. With these conditions, achieving audit quality becomes challenging.ConclusionIn this research, the obstacles to the application of quality control review in Iranian audit firms were examined. The findings show that there are many obstacles in different dimensions. The structure and organization of some audit firm, the small size of many audit firms, economic considerations, low fees of Iranian audit firms, lack of qualified auditors, moral issues in the society, the society's specific problems, governing laws and regulations, weaknesses in quality grading of audit firms, inadequate communication with international professional communities, low awareness of auditing and lack of development, and low application of technology in Iranian audit firms are the main obstacles to the application of engagement quality control review in Iranian audit firms. If these obstacles are not removed, the audit quality of Iranian audit firms will be affected. Additionally, in the present circumstances, it cannot be assured that professional standards will be fully followed. This research is the first Iranian research that has studied this issue and can be an avenue for future research. Future research could study other stakeholders or rank these obstacles. Furthermore, conducting similar research in the future will clarify the extent to which these obstacles can be overcome. The findings of this research can provide a clear perspective on engagement quality control review in Iranian audit firms and its obstacles to regulators, such as the Iranian Association of Certified Public Accountants (IACPA). One suggestion arising from the findings could be to increase the weight of the scores related to the engagement quality control review. Another suggestion would be to promote and clarify the benefits of engagement quality control review for audit firms. The last suggestion is the training of competent quality control reviewers by the AICPA or other educational and professional centers.AcknowledgmentsWe acknowledge the participants in this research who helped us.
Accounting and various aspects of finance
Javad Shekakhah; Iraj Asghari
Abstract
This article deals with modeling the long-term performance of IPOs in the Tehran Stock Exchange and OTC. Due to the difficulty of determining the definition of the long-term period, modeling was initially conducted for 12 periods. These periods ranged from 3 to 36 months. The purpose of this modeling ...
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This article deals with modeling the long-term performance of IPOs in the Tehran Stock Exchange and OTC. Due to the difficulty of determining the definition of the long-term period, modeling was initially conducted for 12 periods. These periods ranged from 3 to 36 months. The purpose of this modeling was to analyze and compare the results and identify the most suitable periods for explaining the long-term performance of IPOs. Modeling has been conducted at the portfolio level using a Stepwise approach. For this purpose, the monthly time series was formed, and data from 236 IPOs in the Tehran Stock Exchange and OTC markets from 2009 to 2022 have been analyzed. The results showed that the return of the portfolios formed from initial offerings could be explained at a satisfactory level. While the primary factor in explaining the long-term performance of IPOs is market return, the profitability, and its distribution also play a significant role. Finally, the most suitable periods for use as the definition of the long-term period are 12, 21, and 27 months.IntroductionThe long-term performance of Initial Public Offerings (IPOs) has always been disputed by researchers. The inherent challenges of conducting long-term research and the complexities associated with Initial Public Offerings have led researchers to use different methods resulting in inconsistent findings.A prevalent approach in studying long-term IPOs is the use of “factor models” to identify the factors influencing IPO portfolio performance. However, the literature has presented and utilized several factor models. Examples of these models include Fama and French (1993), Carhart (2004), Fama and French (2015), and Ho et al. (2015). Despite some similarities, each of these models employs different factors and variables to explain IPO performance. In recent years, many researchers have criticized the use of these common models in their respective countries, citing reasons such as ineffectiveness of these models. These researchers argue that neglecting the socio-economic context of societies can lead to misinterpretation of return and yield inappropriate results for decision-makers. Consequently, each society should develop and employ its own models. Considering these issues, this research aims to provide models that explain the long-term performance of Iranian IPOs. Specifically, by testing various factors and variables, this study identifies the most effective models for explaining the long-term performance of IPOs in Iran.MethodologyIn this research, a stepwise approach was employed. Monthly data of 236 IPOs between 2009 and 2022 were utilized to construct relevant time series, and the returns of the IPO portfolios were analyzed with respect to potential factors that explain the return. To determine the initial set of variables, a systematic review approach was adopted. Due to the high correlation and multiple proxies for the liquidity factor, the liquidity variables were first reduced to three factors using principal component analysis. In total, 19 different factors and variables were included in the analysis.Given the lack of consensus among researchers regarding the definition of the long-term period, the modeling process in this research considered 12 different periods ranging from 3 to 36 months with a three-month increment. The selection of appropriate models was based on the criteria of accuracy and quality forecast, specifically Theil’s (1975) criterion. Three models that nest met these criteria were chosen, and the corresponding portfolio periods were identified as the defining terms for the long-term period. The validation of the selected models was performed by comparing their adjusted R2 values with those of common models found in the literature. Additionally, out-of-sample testing was conducted using 10% of the data to assess the model’s performance.Results and DiscussionThe research findings indicate that the models developed in this study exhibit a strong explanatory power, accounting for approximately 80% of the variations in the returns of IPO portfolios. Among the different portfolio periods considered, the models constructed using 12, 21, and 27-month portfolios demonstrated superior accuracy and forecast quality according to Theil’s (1975) criteria. As a result, these specific periods were identified as the most suitable definitions for the long-term period in this context. The significant variables identified in the models include market return, profitability, size, and dividend. Although the models generally incorporate a set of relatively common variables, the specific model associated with each defined period can be employed to achieve better results, taking into account the specific characteristics of the long-term period under consideration. Furthermore, it is worth noting that the intercept of the designed models, as well as the intercepts of the common models found in the literature, were found to lack statistical significance.ConclusionBased on the analysis conducted in the research, it can be concluded that utilizing native models specifically designed for IPOs provides a suitable explanation for their long-term performance. The primary factor in explaining the long-term performance of IPOs is found to be the market return. This suggests that the performance of initial offerings is primarily influenced by the overall market conditions, while other variables, such as profitability help modulate this effect. Additionally, the non-significance intercept in the models indicates that there is no evidence of long-term under or over-performance of IPOs in Tehran's financial markets. The superiority of the designed models compared to other common models is evident primarily in the 12-month period. While the performance of the models in other periods depends on the specific model employed.
