Iranian Financial Engineering Association(IFEA)International Journal of Finance & Managerial Accounting2588-4379114120240301An Explanation of Financial Market Anomalies by Emphasizing Financial Constraints based on Risk-Based Perspective and Behavioral Perspective1142378010.30495/ijfma.2024.74190.2039ENMojtabaSangariPh.D Student of Accounting, Department of Accounting,Yasuj Branch, Islamic Azad University, Yasuj, IranMohammad AliAghaeiAssociate Professor, Department of Accounting, Tarbiat Modares University, Tehran, Iran.FariborzAvazadehAssistant Professor, Department of Accounting, Gachsaran Branch, Islamic Azad University, Gachsaran, IranAliPirzadAssistant Professor, Department of Management, Yasuj Branch, Islamic Azad University, Yasuj, IranJournal Article20230712This article investigates the impact of financial market anomalies with an emphasis on finan-cial constraints based on Risk- Based Perspective and Behavioral Perspectives. This is a post-event descriptive applied paper. The statistical population includes all active companies listed on Tehran Stock Exchange, whose shares were traded in Tehran Stock Exchange from 2011 to 2020. The statistical sample was selected based on the method of systematic elimination of 182 companies. The primary and secondary data including reports of financial statements and audited financial statements of stock exchange companies for a period of 10 years have been used to collect the required data and financial information and analyzed by eviews9 and SPSS software. Various statistical tests were used for the inferential analysis of the variables, including the F Limer and Hausman test, regression test, and panel data. The research results showed that financial anomalies have a positive effect on Iran's capital market Risk Premium, and financial constraints have a positive effect on Iran's capital market Risk Premium. In oth-er words, incorrect pricing leads to an underreaction or overreaction in stock prices from the investor's psychological deviation, such as the investor's misunderstanding of the company's profit, and affects the financial risk and constraint and ultimately financial crisis.http://www.ijfma.ir/article_23780_944c723d7a43af1a24efc1ffad9eb892.pdfIranian Financial Engineering Association(IFEA)International Journal of Finance & Managerial Accounting2588-4379114120240301Self-Fulfilling Prophecy and Bias of Independent Auditors: Based on the Concept of Galatea through Structural Equations15322378110.30495/ijfma.2024.76382.2083ENVali AllahAghajariDepartment of Accounting, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran.AliMahmoudiAssistant Professor, Department of Accounting, Ahvaz Branch, Islamic Azad University, Ahvaz, IranSaeedNasiriAssistant Professor, Department of Accounting, Islamic Azad University, Ahvaz Branch, Ahvaz, Iran0000-0001-7085-9206AhmadKaabomeirAssistant Professor, Accounting Department, Ahvaz Branch, Islamic Azad University, Ahvaz, IranJournal Article20231121Abstract<br /><br />Independence in the auditing profession is actually an abstract concept that cannot be directly observed, and it is often described as a state of mind which is related to concepts such as impartiality, honesty, trustworthiness, and personality. There are two aspects for independence in most of the existing definitions in the auditing profession. One is true independence (intrinsic) and the other is apparent independence, so that true (intrinsic) independence is considered "absence of mental tendency in the implementation of audit operations" and apparent independence is "avoidance of conditions that show the auditor in conflict with the obvious interests of the employer".. The research data collection tool was a questionnaire, which was used to analyze the collected data using partial least squares analysis. The target population of the research was the auditors who are members of the audit organization and private sector audit institutions. They were selected through random sampling and examined in a period of 6 months. Based on the obtained results, it was determined that self-fulfilling prophecy has a positive and significant effect on auditors' bias. In fact, the result of this research shows that the existence of positive expectations in the context of the society and the professional environment creates more dynamics in the effective and independent functions of auditors because the motivations can increase the professional philosophy of auditors in the process of work and make them have professional opinions and judgments, regardless of any influence and possible dependencies when making decisions.http://www.ijfma.ir/article_23781_5ecc8c3764f3a67054971fce2dd566b4.pdfIranian Financial Engineering Association(IFEA)International Journal of Finance & Managerial Accounting2588-4379114120240301Transmission of Oscillation of Users’ Production Content and Efficiency Rate of the Shares of Iran Khodro Company in Tehran Stock Exchange33402378210.30495/ijfma.2024.76766.2092ENSedieghehTaghiehFinancial Management Group ,Yazd Branch, Islamic Azad University, Yazd, Iran.0000-0003-2495-7862HamidKhajeh MahmoudabadiFinancial Management Group ,Yazd Branch, Islamic Azad University, Yazd, Iran.Sayed YahyaAbtahiFinancial Management Group, Yazd Branch, Islamic Azad University, Yazd, Iran.Seyyed HasanHatami NasabBusiness Management Group, Yazd Branch, Islamic Azad University, Yazd, Iran.Journal Article20231211Abstract<br />Regarding social media in the new era of marketing of the companies, there are a vast number of channels through which the investors can gain the information they may concern. Investors can collect information on newspapers, TV programs, online news sources, online meetings and councils and so forth. They can also directly affect the companies’ stock efficiency to increase or decrease by producing their own content through these social media. This study investigates the transmission of oscillation of users’ production content and efficiency rate of the shares of Iran Khodro Company in Tehran Stock Exchange. The results of the data in this study are analyzed based on the correlation coefficient. Variables of stock efficiency rate for each product, positive and negative comments and google searches about the product have been used for the stocks of Iran Khodro. Data on the stocks of Iran Khodro during 1397 to 1400 were collected on the Stock Exchange Website. Simple random sampling method was applied in this study. The results showed meaningful relations between the efficiency rate and positive comments, between the efficiency rate and negative comments and between the efficiency rate and google searches.http://www.ijfma.ir/article_23782_deb23c20e7307c4c07ff41423ea0902c.pdfIranian Financial Engineering Association(IFEA)International Journal of Finance & Managerial Accounting2588-4379114120240301Examining the Economic Predictive Power of the Sukuk Yield spread: Evidence from the Iranian Financial Market41562378310.30495/ijfma.2024.76449.2086ENSaeedMasoudiPh.D. students, Department of Business Administration, Rasht Branch, Islamic Azad University, Rasht, IranGholamrezaMahfooziAssistant professor, Department of Economics and Accounting, university of Guilan, Rasht, Iran.0000-0001-5198-2049Seyed MozafarMirbargkarAssistant professor, Department of Business Administration, Rasht Branch, Islamic Azad University, Rasht, Iran.Journal Article20231126The yield spread is a tool for predicting economic growth or recession that has garnered considerable attention in both developed and developing countries. The yield spread refers to the difference between the yields of long-term and short-term securities.This research aims to explain the Power of sukuk yield spread to predict Iran's GDP growth. For this purpose, data from 90 trading days of both corporate and government sukuk in the Iran Fara Bourse from the year 2015 (1394 Hijri) to the first half of 2022 (1401 Hijri) were examined and researched. The GDP growth data compared to the same season in the previous year, termed Quarterly growth rate, was compared with various yield spreads of long-term and short-term Sukuk. The yield spread of 4-year and 6-month sukuk (4y-6m) was selected as the appropriate spread to predict real GDP growth.The equation for predicting economic activities for the next 3 quarters based on the 4y-6m spread of the current quarter was designed using a linear regression model and optimized by the ordinary least squares (OLS) method. The results showed that the yield spread of sukuk (4y-6m) with the coefficient of determination (R2=0.10) and the correlation coefficient r=0.317 can predict the next 3 quarters of Iran's GDP.http://www.ijfma.ir/article_23783_dc8ea2d055557e14585d74fc6c1033b2.pdfIranian Financial Engineering Association(IFEA)International Journal of Finance & Managerial Accounting2588-4379114120240301Investigating the Relationship between Financial Resilience and Green Accounting with the Mediating Role of Risk Control in Tehran Stock Exchange Companies57682378410.30495/ijfma.2024.75586.2068ENMaryamGhasemiPhD Student of Accounting Department, South Tehran Branch, Islamic Azad University, Tehran, IranFatemehSarafAssistant Professor, Department of Accounting, South Tehran Branch, Islamic Azad University, Tehran, IranSeyyed YusufAhadi SerkaniAssociate Professor of Accounting Department, South Tehran Branch, Islamic Azad University, Tehran, IranMahboobehJafariAssistant Professor, Department of Accounting, South Tehran Branch, Islamic Azad University, Tehran, Iran,Journal Article20231007In today's era, paying attention to environmental principles and requirements and playing the role of social responsibilities in the form of accounting standards and procedures at the level of Tehran Stock Exchange companies is inevitable, in the meantime, paying attention to the field of resilience and Responding to environmental actions and risks in order to prevent crisis through green accounting is one of the necessities of business survival. In this regard; The purpose of this research is to examine the relationship between green accounting and resilience with the role of risk control in companies listed on the Tehran Stock Exchange, which is practical in terms of purpose and in terms of the basis of information and data in the framework of the approach It is a survey. The statistical population of the research includes all managers and experts active in Tehran Stock Exchange companies. Among this population, 155 people were randomly selected to answer the designed questionnaire. Finally, SPSS and Smart PLS software were used for data analysis. The research findings are presented in two parts, descriptive and inferential. The results showed that there is a positive and significant relationship between green accounting taking into account systemic, process, cultural components and requirements with resilience in the form of risk control moderator role in companies admitted to the Tehran Stock Exchange.http://www.ijfma.ir/article_23784_f3c952bcd6acff0deec623a8593bc698.pdfIranian Financial Engineering Association(IFEA)International Journal of Finance & Managerial Accounting2588-4379114120240301Impact of Intellectual Capital Factors on Competitive Capability Derived from Market Share and Stock Prices of Companies (Role of Moderating Factors)69782378510.30495/ijfma.2024.76535.2088ENMehdiGoodarziPhD Student in Accounting, North Tehran Unit, Islamic Azad University, Tehran, Iran.AliakbarChaharmahaliAssistant Professor, Accounting, North Tehran Unit, Islamic Azad University, Tehran, Iran.EhsanRahmaniniaAssistant Professor, Accounting, North TehranBranch, Islamic Azad University, Tehran, Iran.HashemNikoomaramProfessor, Accounting, Science and Research Branch, Islamic Azad University, Tehran, Iran.MohsenAmini KhozaniAssistant Professor, Financial Engineering, Shahr-e Qods Unit, Islamic Azad University, Tehran, Iran.Journal Article20231130This scholarly endeavor aims to examine the enhancing or limiting role of factors affecting intellectual capital to implement changes in the competitive ability of companies. The enhancement of a company's competitive ability has always been a focal point for company managers, and numerous studies have been conducted to identify factors that augment this competitive capability. The objective of this research is to analyze the role of intellectual capital comprising human capital, relational capital, and structural capital on the dimensions of market share and stock price in a company's competitive capacity. Furthermore, the effect of two moderating variables, political relations and strategic management accounting (SMA), on the relationship between intellectual capital indicators and market share and stock price dimensions within a multiple regression model has been scrutinized and interpreted. The primary aim of the present research is to elucidate the role and significance of SMA and political relations in the influence process of intellectual capital on the competitive capability derived from market share and stock prices to control influential factors in this regard. Hypothesis testing was carried out using a multivariate linear regression model, and data analysis was conducted using the panel data method. The findings indicate that in addition to the significant positive relationship between intellectual capital on the competitive capability derived from the companies' market share, political relations, and SMA have positive moderating effects on the relationship between intellectual capital and competitive capability stemming from market share. However, SMA, as a moderating variable, has no impact on this relationship.http://www.ijfma.ir/article_23785_6953aa7895c6af344d03401184eaf8e4.pdfIranian Financial Engineering Association(IFEA)International Journal of Finance & Managerial Accounting2588-4379114120240301Exploring the Factors for Launching Social Trading in Iran's Capital Market Using a Thematic Analysis Approach79892378610.30495/ijfma.2024.77476.2097ENFarhadMorsali PavarsiPhD Student of Financial Engineering, Department of Financial Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran0009-0009-3965-833XHamidAhmadzadehAssistant Professor, Department of Accounting, Karaj Branch, Islamic Azad University, Karaj, Iran,MojtabaKavandAssistant Professor, Department of Management, North Tehran Branch, Islamic Azad University, Tehran, Iran,MahmoudKhoddamAssistant Professor, Department of Financial Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran,Journal Article20240214Launching social trading is a novel approach for buying and selling stocks, and has the potential to be implemented in Iran. Therefore, it is crucial to identify the key factors that would facilitate the introduction of social trading in Iran's capital market. <br />The main objective of this research is to determine these factors using a thematic analysis approach. The research will involve gathering data from active experts and specialists in the Iranian capital market who have experience with social trading in international markets. The study will focus on a sample of 15 experts and specialists who have a minimum of 10 years’ experience in the Iranian capital market and have held positions such as brokers and managers. <br />The findings of this study have revealed ten factors that are crucial for launching social trading in Iran's capital market. These factors include information and trading transparency, the general situation of social networks, stock performance and analysis tools, financial development indicators, financial ratios and market value, ownership rights and financial statements, risk management, technology status, competitiveness, education and awareness, and the inventory management system. Taking these factors into consideration will contribute to the successful implementation of social trading in the capital market of Iran.http://www.ijfma.ir/article_23786_2ad300658065a941d949d0d181c7f626.pdfIranian Financial Engineering Association(IFEA)International Journal of Finance & Managerial Accounting2588-4379114120240301Meta-Analysis of the Use of Logit-Probit Models in the Impact of Financial Indicators on Credit Rating901042377610.30495/ijfma.2024.76740.2091ENMasoudBakhshiDepartment of Accounting, Damavand Branch, Islamic Azad University, Damavand, Iran, PH.D. studentMohammad HamedKhanmohammadiAccounting Department, Damavand Branch, Islamic Azad University, Damavand, Iran, Associate Professor of Accounting FacultyZahraMoradiAccounting Department, Damavand Branch, Islamic Azad University, Damavand, Iran, Assistant Professor of Accounting FacultyMohammad EsmaeilMolaeiAccounting Department, Damavand Branch, Islamic Azad University, Damavand, Iran, Assistant Professor of Accounting FacultyJournal Article20231210The diversity of tools and measurement methods has created new opportunities in studies, often leading to different results and causing confusion in understanding the overall outcomes. Meta-analysis is a set of statistical methods for integrating the results of various studies and identifying moderating factors in the relationships between financial indicators and credit ratings. In this research, we will use the methodology of meta-analysis (meta-analysis), which is considered a quantitative statistical approach. To implement the meta-analysis method, all studies conducted in the field of research using keywords such as financial ratios, credit rating models; Logit-Probit models, and factors affecting credit rating will be identified and collected from domestic and international journal websites (in the time period from 2008 to 2023) as the statistical population of the research. Finally, out of the total studies collected, 22 studies were analyzed systematically with certain limitations applied. The results of the examination of these studies indicate that most of these studies are heterogeneous. Moreover, the Logit and Probit models accurately and acceptably predict the impact of financial ratios on credit rating. Additionally, it was determined that there is a significant relationship between financial indicators and credit rating.http://www.ijfma.ir/article_23776_4c63a38de84c8eb2ad7584bbb274af2d.pdfIranian Financial Engineering Association(IFEA)International Journal of Finance & Managerial Accounting2588-4379114120240301Modeling the relationship between the auditor and the employer based on the ethical approach and its effect on the quality of the audit report using the Delphi-fuzzy technique1051222378710.30495/ijfma.2024.75439.2066ENSeyedeh SetarehAhmadi LimanjoubiPhD student in accounting, Rasht Branch, Islamic Azad University, Rasht, IranKeyhanAzadiAssistant Professor, Department of Accounting, Rasht Branch, Islamic Azad University, Rasht, IranBehzadNikkarAssistant Professor, Department of Accounting, Ramsar Branch, Islamic Azad University, Ramsar, IranJournal Article20230927This study explores the relationship between the auditor and the employer based on the ethical approach and its effect on the quality of the audit report using the Delphi-fuzzy process. The current research is qualitative-quantitative and applied, and in terms of its nature, it is survey-analytical research. First, according to the related theories and research questions, the important factors were identified by the library method, and then the questionnaire made by the researcher was given to the experts who were selected by the purposeful sampling method. Among them, 53 people responded and the sub-components related to each factor were identified and classified through the questionnaire. Finally, the answers were checked and processed using Excel software and then analyzed with the data related to the year 2022 and spss and Delphi-Fuzzy software.<br />The consensus results of the research experts' opinions indicate that an increase in the amount of ethical components such as honesty, experience, competence and independence (independent variables) and on the other hand a decrease in the amount of economic components such as inflation and financial pressure and the environmental component as control variables leads to an increase in the quality of the relationship between the employer and the auditor and an increase in the transparency of the audit reports and finally the quality of the audithttp://www.ijfma.ir/article_23787_b0485292cde20d8a76cca37410a9f115.pdfIranian Financial Engineering Association(IFEA)International Journal of Finance & Managerial Accounting2588-4379114120240301A bi-level optimization heuristic for solving portfolio selection problem1231382378810.30495/ijfma.2024.77503.2102ENMeysamDoaeiDepartment of Finance, Esfarayen Branch, Islamic Azad University, Esfarayen, Iran0000-0003-2276-2973Journal Article20240229This research addresses the challenge of optimizing the selection of a stock portfolio within a scenario involving two distinct decision makers, each driven by their unique objective functions and constraints. Importantly, the choices made by one decision-maker impact the decisions of the other. The primary focus is a dual-level model: at the first level (leader), investment management firms' decisions are expressed as they strive to partake in trading profits through portfolio management. At the second level (follower), active investors in the capital market are examined, pursuing goals of maximizing returns and minimizing investment risk. A notable innovation lies in incorporating social criteria and implicit investor preferences into the considerations of portfolio management firms. Given that solving two-level optimization problems with variable variability at the follower level is recognized as a complex polynomial challenge, this research introduces an inventive algorithm based on exhaustive enumeration to tackle the proposed model. Numerical outcomes stemming from portfolio optimization, utilizing data from the Tehran Stock Exchange market and Iran Farabourse market. Furthermore, numerical analyses underscore the favorable performance of the proposed model and algorithm in addressing issues related to stock portfolio optimization. Thus, this model holds promise as a management tool for similar challenges.http://www.ijfma.ir/article_23788_06e71b23d4924dfdfc2dd1e217ab4b01.pdfIranian Financial Engineering Association(IFEA)International Journal of Finance & Managerial Accounting2588-4379114120240301Analysis of Dynamic Relations Amongst Oil and Gold Prices and TEPIX in Iran’s Economy Using SVAR-Asymmetric-BEKK-GARCH modle1391522378910.30495/ijfma.2024.71511.1967ENTaraHeidari ChavariDepartment of Financial Management, Research Sciences branch, Islamic Azad University, Tehran, IranMirfaizFallah ShamsDepartment of Business Management, Faculty of Management, Central Tehran Branch, Islamic Azad University, Tehran, IranHashemNikoomaramDepartment of Financial Management, Faculty of Management and Economics, Science and Research Unit, Islamic Azad University, Tehran, IranFraydoonRahnamay RoodposhtiDepartment of Business Management, Science and Research Branch, Islamic Azad University, Tehran, IranGholamrezaZomorodianDepartment of Business Management, Faculty of Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran0000-0002-1573-845XJournal Article20230118Investigation of the evolutions of the stocks, gold, and oil markets in Iran shows clearly that prices of these assets have experienced abrupt fluctuations during the recent past. This indicates the great importance of investigating these fluctuations to see how they are transferred from one financial market to another. When it comes to economic policy setting, such an investigation serves as an efficient economic instrument for realizing increased production and employment, because a proper understanding of the mentioned price fluctuations in the markets contributes to setting appropriate controlling policies. Oil and gold, as two strategic and irreplaceable commodities, have attracted much attention recently. These two goods in particular cause an increase in prices and an increase in economic costs.Therefore, the present research investigates the relationship between fluctuations in the gold and oil markets as well as Iran’s stock exchange market (SEM) during 2012 – 2022. Data analysis was performed by the SVAR-asymmetric-BEKK-GARCH model. Findings indicated a one-way relationship amongst fluctuations overflown across the considered variables.http://www.ijfma.ir/article_23789_70c278e66c9bc7683f0ad2748f694b43.pdfIranian Financial Engineering Association(IFEA)International Journal of Finance & Managerial Accounting2588-4379114120240301Factors affecting financial transparency with a combined approach of content analysis and Delphi1531662379010.30495/ijfma.2024.72359.1990ENKavehParandinAssistant Professor, Department of Accounting, Payame Noor University, Tehran, Iran,SomayehHosseiniAssistant Professor, Department of Accounting, Payame Noor University, Tehran, Iran,Journal Article20230309Subject and Purpose of the Article: This study examines the factors affecting financial transparency and hidden layers in municipal financial systems.<br />Research Methods: In this study, first the content analysis of previous texts and researches was examined and the components affecting transparency were extracted, then the important factors were identified and classified using the Delphi approach with the opinion of experts.<br />Research Findings: According to the elites participating in this study, the relevant factors extracted in the content analysis and related to the dimensions of the research, including social, organizational, economic and political dimensions, along with their components and characteristics have a significant impact on municipal financial transparency. According to the elites and experts, the variables of culture and organizational commitment, speed and accuracy in handling and imposing penalties and encouragement to increase transparency in the first and third ranks affect financial transparency among the 46 factors extracted in content analysis.<br />Conclusion, originality and its addition to knowledge: Providing effective factors on financial transparency in municipalities improves the level of accountability of this institution and uses them to create laws and regulations in order to increase transparency. Also, this research is the first research in this field for public institutions and municipalities in finding factors affecting It is financial transparency that also contributes to the richness of the research literature.http://www.ijfma.ir/article_23790_1b7daa728437662c5bd6dc21528b7831.pdfIranian Financial Engineering Association(IFEA)International Journal of Finance & Managerial Accounting2588-4379114120240301Designing and explaining the model of financial re-engineering in the Cement company of Ilam province1671802379110.30495/ijfma.2024.75826.2072ENFatemehAhmadyAssistant Professor of Accounting Department, Ilam Branch, Islamic Azad University, Ilam, IranRezaMashhadizadehAssistant Professor, Department of Accounting, Karaj Branch, Islamic Azad university of Karaj, Iran.Journal Article20231021The aim of the current research is to design and explain the model of the financial re-engineering in the Cement company of Ilam province. The current research method is mixed in nature and qualitative-quantitative combination. The statistical population of the research in the qualitative part includes experts and specialists in the field of re-engineering and managers with experience in the Cement company of Ilam province, and in the quantitative part, it includes all the employees of the Cement company of Ilam province. To analyze the data in the qualitative part and to identify the factors, the foundational data theory method has been used. In the quantitative part, for the impact of the identified factors on financial re-engineering, the information was first collected using a questionnaire, and then the influence of the factors was tested using the confirmatory factor analysis method and using Lisrel software. The results showed that the four main factors influencing the financial re-engineering in the Cement company of Ilam province are; Support and processes, team participation, financial conditions and regulatory improvementhttp://www.ijfma.ir/article_23791_9096403cb29da13bc9bf505a6d6a30d7.pdfIranian Financial Engineering Association(IFEA)International Journal of Finance & Managerial Accounting2588-4379114120240301Examining the relationship between tax avoidance, effective tax rate, tax risk and tax uncertainty1811942379210.30495/ijfma.2024.75913.2076ENFatemehBargbidi GashtiMA in Accounting, Faculty of Management & Economics, Tarbiat Modares UniversitySaharSepasiAssociate Professor, Accounting Department, Faculty of Management & Economics, Tarbiat Modares University0000-0001-7870-7231BehrouzKhodarahmiAssistant Professor, Accounting Department, Faculty of Management & Economics, Tarbiat Modares UniversityJournal Article20231029This research aims to examining the relationship between tax avoidance, effective tax rate, tax risk and tax uncertainty. The data obtained in relation to the research variables were entered into an Excel spreadsheet and then analyzed using EViews software. The statistical population of this research is the systematic elimination method among 149 companies listed on the Tehran Stock Exchange during the period 2014 to 2021. The research results showed that there is a significant relationship between the company's effective tax rate and the company's profitability. There is no significant relationship between tax avoidance and the company's tax risk rate, as well as between tax avoidance and tax uncertainty. More Discussion and conclusion showed that People in a company are interested in the effective tax rate that is used when budgeting and planning. On the other hand, the agency theory encourages managers to increase company profits. When the earned profit increases, the amount of income tax will automatically increase in proportion to the increase in the company's profit.http://www.ijfma.ir/article_23792_a3e8b5e0becdbfb1b1c706b452b6c388.pdfIranian Financial Engineering Association(IFEA)International Journal of Finance & Managerial Accounting2588-4379114120240301Evaluating the effect of liquidity growth rate volatility and real interest rate uncertainty on the performance of the banking industry1952042379310.30495/ijfma.2024.77564.2112ENNematollahMollakarimistudent of finance, Islamic Azad University, Tehran, IranMirfeizFallah ShamsAssistant Professor, Islamic Azad University, Tehran, Iran0000-0001-7989-8703FarhadHanifiAssistant Professor, Islamic Azad University, Tehran, IranJournal Article20240417The current study has investigated the effect of liquidity growth rate and real interest rate deviation on the performance of banking industry and credit institutions in Tehran Stock Exchange during the period of January 2011 to March 2021. In this way, autoregressive vector model, Granger causality test and instantaneous reaction functions have been used to explain the mechanism of the effect of liquidity growth rate and real interest rate deviation on the return of the banking industry index and credit institutions. According to the investigations, there is an inverse relationship between the uncertainty of the real interest rate and the return of the banking industry index in the Tehran Stock Exchange market; But the volatility of liquidity growth does not significantly affect the performance of the banking industry index. Keywords: Liquidity Growth Rate, Uncertainty of Real Interest, Returns of The Banking Industry Index and Credit Institutions, Autoregressive Vector Model, Granger Causality Testhttp://www.ijfma.ir/article_23793_404e0793ba47ba6ec7b52aefe9ac9cfb.pdfIranian Financial Engineering Association(IFEA)International Journal of Finance & Managerial Accounting2588-4379114120240301Relationship between Income Quality and Cost of Equity: the Role of Voluntary Disclosure of Non-Financial Information and Sustainability Performance2052182379410.30495/ijfma.2024.74928.2090ENAliHomayounPh.D Student of Accounting. Qeshm Branch, Islamic Azad University, Qeshm, IranMohammad HosseinRanjbarAssociate Professor, Department of Accounting and Finance, Bandar Abbas Branch, Islamic Azad University, Bandar Abbas,
Iran0000-0003-3454-0200FaeghAhamdiAssistant Professor,Department of Accounting, Qeshm Branch, Islamic Azad University, Qeshm, Iran.GhodatolahTalebniyaAssociate Professor, Department of Management and Economics, Tehran Science and Research Branch, Islamic Azad
University, Tehran, IranJournal Article20231209Relationship between Income Quality and Cost of Equity: the Role of Voluntary Disclosure of Non-Financial Information and Sustainability Performance<br />The purpose of this study is to investigate the relationship between income quality (IQ) and cost of equity (CEC) through the role of voluntary disclosure of non-financial information and sustainability performance (SP). SP indicators (60 indicators) are used in three economic, social and environmental dimensions to measure the voluntary disclosure of non-financial information at both retrospective and prospective levels and SP, and the data of 120 firms in the period of 2015-2021 have been used to calculate research variables. The results of data analysis using multiple regression and panel data method indicate that the IQ does not have a significant effect on the CEC, which is observed by entering the adjusting variables (voluntary disclosure and SP). Voluntary retrospective and prospective non-financial information and SP have a significant impact on the relationship between the IQ and CEC.http://www.ijfma.ir/article_23794_ac1c5565b796d53bcf81a746298dd393.pdfIranian Financial Engineering Association(IFEA)International Journal of Finance & Managerial Accounting2588-4379114120240301Comparing the Power of Predicting Financial Helplessness in the Deep Learning Method Based on the Gray Wolf Optimization Algorithm with the Artificial Neural Network Method2192322380210.30495/ijfma.2024.77633.2124ENAkramKarimpourPhD Student in Financial Engineering, Dehaghan Branch, Islamic Azad University, Dehaghan, IranMohsenAzhdarAssistant Professor of Accounting, shahrekord Branch, Islamic Azad University, shahrekord, IranSayyed MohammadrezaDavoodiAssociate Professor of Management, Dehaghan Branch, Islamic Azad University, Dehaghan, Iran.0000-0003-2347-7154Journal Article20240510Financial institutions model potential counterparty distress before lending to potential counterparties in an attempt to mitigate such losses. Therefore, one of the ways to help in the correct use of investment opportunities and also to prevent the wastage of resources is to predict financial helplessness. In this regard, in this research, a new model related to the prediction of financial helplessness is presented, in which the deep learning method based on the gray wolf optimization algorithm will be used. Then the predictive power of this model is compared with the artificial neural network method. For this purpose, the information of 160 selected firms admitted to the Tehran Stock Exchange during the period of 2016 to 2022 was used. The findings of the research related to predicting the helplessness of firms based on the deep learning method based on the gray wolf meta-engineering algorithm, showed that the percentage of success of this model in predicting the helplessness of companies is equal to 98.33%, while the power of prediction the artificial neural network method was for 94.45%. Based on this, it can be concluded that the deep learning method based on the gray wolf meta-engineering algorithm has a higher level of accuracy than the artificial neural network method in predicting the helplessness of the investigated firmshttp://www.ijfma.ir/article_23802_cf566487133f1f538e02da96f9a16b18.pdfIranian Financial Engineering Association(IFEA)International Journal of Finance & Managerial Accounting2588-4379114120260301Presenting a Mediating Role Model of Spiritual Intelligence on the Relationship between Internal Auditors’ Perfectionism and Their Tendency to whistleblowing2512642396010.22034/ijfma.2025.78041.2194ENAboozarDadgarPhD student in accounting, Damavand branch, Islamic Azad University, Damavand, Iran.MohammadhamedKhanmohammadiDepartment of Accounting, Damavand Branch, Islamic Azad University, Damavand, IranEsmaeelMolaeiDepartment of Accounting, Damavand Branch, Islamic Azad University, Damavand, IranJavadBabaei KhaliliDepartment of psychology, Behshahr Branch, Islamic Azad University, Behshahr, IranTaherehMahmoudiyan DastnaeeDepartment of Psychology, Behshahr Branch, Islamic Azad University, Behshahr, IranJournal Article20241103The present study was aimed at determining the effect of spiritual intelligence on the relationship between perfectionism traits of internal auditors and their tendency to whistleblowing, and formulating a model based on structural modeling.This was a descriptive-correlational research in nature. The statistical population included internal auditors and individuals experienced in the field of internal auditing (either as members of the audit committee or as members of the internal audit team). To this end, a list of 1787 audit committee members of publicly listed companies with a record of membership in the internal audit committee and registered with the Securities and Exchange Organization of Iran was prepared and sent to all internal auditors of listed companies. To determine the sample size, Cochran’s formula was used,and the sample size was set at 244 individuals. The tools used included the multidimensional perfectionism questionnaire by Hewitt and Flett (1991), and a scenario was used to measure whistleblowing.This scenario was based on the questionnaire designed by Taylor and Curtis (2010). <br />Findings: The results revealed that spiritual intelligence, as a mediating variable, affected the relationship between perfectionism and whistleblowing. Besides, it was shown that, without the mediating effect of spiritual intelligence, there is a positive and direct relationship between perfectionism and whistleblowing. Based on the findings, it is recommended to plan and develop principles for enhancing spiritual intelligence, along with policies for attracting auditors and improving the control system. These measures would encourage auditors to raise red flags and ultimately increase the credibility of the professionhttp://www.ijfma.ir/article_23960_1203cc3f3328867009eb7d59cf5e12f6.pdf