International Journal of Finance and Managerial Accounting
Volume:11 Issue: 42, Summer 2026

The present research, in terms of its objective, is considered to be applied research, utilizing a mixed method approach and the Grounded Theory strategy. The target population of the study consists of experts in the fields of marketing and banking industry. For data analysis, MAX QDA software was used for the qualitative section, while descriptive and inferential statistical methods with SPSS software and Smart PLS software were utilized for the quantitative section. In the qualitative part, a total of 30 initial codes were extracted in the form of 6 themes. The findings of the study indicate that the elucidation of the digital marketing model in the Iranian banking industry, with a focus on financial technology, will lead to enhancing the security, trust, reliability, and sustainability of financial service providers. Furthermore, it will lead to the establishment of digital mindset, a shift in the banking culture from product-centric to customer-centric, and improvement in customer experience in utilizing banking services in the modern era

The purpose of this article is to provide an early warning model of financial systemic risk in the financial market of Iran using the LSTM model. In this study, a long short-term memory (LSTM) approach was used to predict financial risk and yield changes in the country's capital market in the period of 2011-2023. In order to model the financial risk, the profitability of the banking, insurance and leasing industry and the total capital market index along with the exchange rate, interest rate, inflation rate and production variables were used. The designed model showed that it had a high power in predicting the fluctuations and occurrence of risk in the country's financial markets. In addition, the results obtained from the evaluation of the model on the test data were used to measure the performance of the system in generalizing the network training to the test stage and the ability of the model in predicting the efficiency of the financial industry and also as a warning system.

This article investigates the effects of global markets of gold, currency, metals, crude oil, and digital currency on the Tehran Stock Exchange and analyzes the spillover risk of these markets on the Tehran Stock Exchange. The research utilizes a combination of marginal models and copula models. The marginal models used include the stochastic volatility model, the Markov switching model, and the. The copula models include the normal, T Student, Clayton, Frank, and Gumbel model. The data used in this study are the daily values of the mentioned markets from December 2011 to January 2023. The results show that the aforementioned global markets have influence the Tehran Stock Exchange and the fluctuations occurring in these markets cause a reaction in the Tehran Stock Exchange index. The extent of this influence is also calculated using conditional Value at Risk (VaR). Considering the limitations of the stochastic volatility model and the Markov switching model, the Heston switching model is suggested as a marginal model, and the combination of this model with copula models can provide appropriate results.

The current research studies the relationship between narcissism and self-efficacy with the auditor's assessment of fraud risk. In this theory, narcissism and self-efficacy are two characteristics that can affect the auditor's fundamental creativity and the auditor's developed creativity, and also narcissism can affect The auditor's assessment of fraud risk is effective. The statistical sample of the research includes 250 auditors working in auditing institutions, members of the public accountants society and auditing organization in 1402. The theoretical basis of the research is through library studies and the statistical data of the research is done through survey research and by using questionnaires to collect and test hypotheses based on structural equations. The results of this research show that narcissism has a significant effect on the auditor's creative self-efficacy; The auditor's creative self-efficacy has a significant effect on the auditor's fundamental creativity; The auditor's creative self-efficacy has a significant effect on the auditor's developed creativity, and narcissism has a significant effect on the auditor's assessment of fraud risk

The fixed cost allocation in bank branches by supervisors or central headquarters has always been the concern of managers and researchers. In numerous operative applications, the units under assessment or evaluation are in a combined form, such as, mixed, in series and parallel units; and correspondingly, of an undesirable output. in this paper, we have initially presented a mixed network assessment model, with an independent input and a common intermediate, along with, an undesirable output. Subsequently, with due attention to the significance of the fixed cost allocation in relevance with mixed networks, a model for the fixed cost allocation, has been rendered, in context to the intermediate input, such that, the overall efficiency and the efficiency of the sub-units of the network do not deteriorate further, to the most probable extent after allocation, but rather, enhance to the utmost possible degree. So as to achieve an exceptional and exclusive value, a secondary goal has been taken advantage of; and this procedure, condenses the possibility of varied solutions. Likewise, CSW technique has been utilized for assessment purposes in the paper, which provides accurate results compared to the results obtained from classical models. The model proposed in this paper is ultimately implemented in an empirical example with 50 branches of one of Iran's commercial banks. the results of which, presents an example of a fair allocation, such that, the total efficiency, as well as the efficiency of the sub-units, refrain from decrease and increase as much as possible, after the allocation.

Performance budgeting system serves to promote the effectiveness of organizational resource consumption gained the attention of governments at local and national levels. The question as regards implementing this effective managerial instrument is “What is the prioritization of requirements to fully and appropriately implement performance budgeting on the part of government organizations?” This study had an applied goal and fell under quantitative approaches. In the meantime, this study also used the DEMATEL techniques as a ranking method. Data were gathered through library studies and deep and open interviews with 15 experienced academic professors, activists, and managers of public sector organizations via purposive sampling until the saturation point was reached. The validity of this study was examined and then confirmed by interviewees, and expert professors. The reliability was obtained to be 91% using the retest-reliability method. Results indicated that contexts (systemic, human, structural, and national), and categories (organizational ability, organizations, bodies, administrative- managerial) had the highest and lowest impacts on performance budgeting in the public sector, respectively. Practical results obtained from this research will help organizations to implement programs and activities as best as possible and add effectiveness and efficiency of costs to regular budgeting. Considering the novelty of the application and study of this issue in the public sector, it is expected that this research will have a significant impact on the views of the aforementioned managers and employees who act in a decision-making position for the success of the organization.

Systemic risk spreads through interconnections between markets in the financial system. This study investigated symmetric upside and downside risk spillovers between carbon assets trading markets and commodity markets, including energy, base metals, and agricultural commodities. To measure systemic risk and symmetric upside and downside risk spillovers between carbon emission allowance (CEA) and commodity markets, daily returns time series of the data utilized in modeling upside and downside risk spillovers were filtered through the ARMA-APGARCH process, and marginal distributions of each variable were estimated based on residuals following data collection and continuous calculation of daily data returns. Then, symmetric upside and downside risk spillovers between the studied groups were tested using methodology and the bootstrapped Kolmogorov-Smirnov (KS) test statistic. The research results confirmed the null hypothesis of symmetric upside and downside risk spillovers between commodity and carbon emission trading markets under investigation at a confidence level of 99%. In addition, based on the one-sided KS test, upside risk spillovers occur with greater intensity than downside risk spillovers (their downside counterparts) between the studied commodity and carbon emission trading markets.

Digital Economy, relying on emerging technologies like Fintech, is experiencing rapid growth and has resulted in the change of financial and economic models worldwide, thus potentially serving as a crucial factor in Digital Finance development. Considering the speed of these changes, policymakers and industry players should put the digital economy development program and the designing of new models on their agenda. In recent years, Islamic finance has witnessed significant growth due to digital technologies, and many Islamic countries have compiled strategic plans and a clear vision for the Islamic Digital Economy (IDE), which has created fierce competition between them. Therefore, this research aims to design a model of Digital Finance development based on I-Fintech and draw a roadmap for the IDE in Iran. The research method is the Multi-Grounded Theory which is a developed alternative approach to the grounded theory. The statistical population consisted of theoretical and experimental experts, chosen via purposive sampling. The research data was analyzed using MAXQDA and NVIVO in the qualitative section and Smart PLS and AMOS software in the quantitative section. Data analysis led to the identification of 6 paradigms, 36 main categories, and 64 sub-categories, and the research model was designed. The research findings confirm that the strategies and implications of the research model include the Compilation of an IDE Document, Building Regulatory and Supervisory Sandboxes, and establishing Regtech and Suptech. Finally, policy programs and operational solutions for the development of the Digital Finance Ecosystem in Iran are presented.

The purpose of this research is performance importance analysis (IPMA), with the approach of combining the five-factor model of personality and the theory of planned behavior on the investment intention of retail shareholders. The research method is a description of the correlation type and the statistical population includes all small shareholders active in the Tehran Stock Exchange. The data collection tool was a researcher-made questionnaire. At the descriptive level of data analysis, average and standard deviation statistics were used. In addition, the data were analyzed by using SPSS26 and smart pls software through structural equation modeling.This analysis is a useful analysis approach in PLS-SEM that extends the results of path coefficient estimation (significance) by adding a dimension. The data collection tool was a researcher-made questionnaire. At the descriptive level of data analysis, average and standard deviation statistics were used. In addition, the data were analyzed by using SPSS26 and smart pls software through structural equation modeling.

Investment decisions are very important for managing current needs and future goals, and individuals and families spend considerable time and resources on financial planning, and much research has documented the importance of such decisions. These studies show the importance of evaluating the impact of personality characteristics on investment decisions. In the first part of this research, the correlation between representative parameters of individual characteristics (including psychological characteristics, personality characteristics and risk-taking attitude) with investment decisions has been done. The research statistical population is all investors. Sampling is available due to the unlimited statistical population. In the second part, the data related to the representative parameters of individual characteristics were used to predict investment decisions using data mining models of Artificial Neural Network (ANN), XGBoost and AdaBoost. Comparing the results of data mining algorithms showed that the best results are related to the XGBoost model. In this case, the R2 is the highest and the MSE is the lowest compared to other cases. At the next level, the best results are obtained by the ANN with 1 hidden layer and 44 neurons. Finally, the weakest results are related to the AdaBoost model.

The Iranian audit market comparing with other countries, has very distinctive features audit market of Iran includes two public and private sectors. On the other hand, the financing system in the country mostly takes place through borrowing from banks, and evidences show that for receiving more loans, companies may change their auditor, or based on the insurance hypothesis and in order to transfer the risk of debt default to the auditor, look for reputable and high-quality audit institutes. Therefore, this can have many economic consequences for the auditor. The goal of the present research is to study the role of “Company’s borrowing power” on audit quality, in direction of Insurance Hypothesis Testing. Data collection method in theoretical basics section is library method. Statistical population of present research, is the companies listed to the stock exchange, from which a sample including 167 companies were chosen during the period of 12 years, between 2010 to 2021. Hypothesis of the research is tested based on multi-variable regression. Results of this research demonstrates that as the borrowing power of the company increases, the audit quality also increases. While confirming the role of insurance hypothesis in audit quality promotion, findings of this research can result in development and expansion of previous researches theoretical basics about audit quality.

The timeliness of information is very important to stakeholders, but recent changes in the regulatory environment have increased the difficulty of timely presentation of audited financial information. The purpose of this study is to provide an appropriate model for identifying the strategies and consequences of reducing the lag of audit reports.

The present study is the qualitative research and it is applied in terms of purpose and descriptive survey in terms of the nature of the implementation, and the information has been collected by library and field methods. The statistical population in the interview section was experts and professors who specialized in the field of auditing, and 20 people were selected as the sample by snowball method and after conducting semi-structured interviews with theme analysis, an appropriate model was drawn. For the acceptability of the presented model, a questionnaire with 12 questions with a 5-point Likert scale was developed and the statistical population to complete the questionnaire includes accounting and auditing specialists in 2024, which was selected as a sample of 250 people by random and Cochran method and finally, the presented model was approved.

The obtained results indicate that according to the factors of the lag in the audit report that are related to the company, the environment and the audit institute, according to the opinion of the experts, their proposed solutions for the lag in the auditor's report were presented. Also, the consequences of reducing the lag of the auditor's report were revealed to the stakeholders

It is very important to discover the causes of desire or willingness to purchase, in marketing, financial and economic researches. In the capital market, there are various factors that affect the desire to purchase Stocks and play an important role in the decision-making process of individual investors. The purpose of this research is to identify the factors affecting the Willingness or intention of individual investors to purchase Stock of companies in TSE. In the first stage, based on the qualitative research method, the influencing factors on investors that cause purchase Willingness were identified and the initial model was designed. Then, in the quantitative stage, the questionnaire needed to evaluate the validity of the model was developed. For this purpose, 550 individual investors of Tehran Stock Exchange were selected in an accessible and targeted way. structural equation modeling method, SPSS and AMOS software were used for estimate the model. According to the results of the research, 9 groups of factors were identified, some of them, including marketing factors, were identified in subgroups related to product, brand and Situational factors, which were among the innovations of this research.

The aim of this research is to identify and evaluate practical technical analysis strategies in the Iranian capital market. To identify the strategies, a comprehensive search was conducted using the NoorMagz, IranDoc, and SID databases, gathering all articles published in scientific and research journals with keywords such as technical, technical analysis, and chartist. Subsequently, through content analysis, the practical strategies found in these articles were extracted and converted into trading robots using MQL5 language. Finally, after execution, these strategies were evaluated using the Sharpe ratio. The results from the content analysis identified 21 technical analysis strategies. The evaluation results show that the strategy "Short-Term 5-Day Moving Average and Long-Term 60-Day Moving Average with 1% Filter" with a Sharpe ratio of 0.9 performed the best, while the strategy "Breakthrough of Important Highs and Momentum" with a Sharpe ratio of 0.33 had the weakest performance among the strategies examined. Given that the Sharpe ratio for all strategies falls between zero and one, it appears that these strategies are not optimized, and caution should be exercised in their practical application.

The purpose of this research is to present the model of collective financial provision risk in art projects. The current research community was formed by managers and experts of construction engineering organizations based in Tehran province. In this research, using the purposeful method of judgment, the opinions of 17 experts related to the research topic were used in cinema house, cultural economy committee of Tehran Chamber of Commerce, as well as managers and investors of art market of the country. The process of data analysis was done in two stages, which includes identifying the risk of crowdfunding in art projects through interview tools and using thematic analysis method and theoretical validation of the research model in terms of comprehensiveness, uniqueness, coherence and Integrity. The results of the research showed that the risk model of collective financial provision in art projects is divided into two main parts. The risk of the internal factors of the art project includes the risk of turning an idea into an art project, the risk of conflict of interest between the creators of art projects and investors, the risk of lack of transparency in art project contracts, the risk of the quality and uniqueness of the art project, the risk of marketing the art project, The risk of the duration of the art project, the risk of liquidity of the art project, and the risk of external factors of the art project include cultural risk, macroeconomic risk, and the risk of regulations and legal issues.

The purpose of these factors is to determine the financing model of small and medium companies in the stock exchange and to examine their relationships. It should be mentioned that this article is taken from the doctoral research of explaining the financing model of small and medium companies in the stock exchange with a qualitative and quantitative combined approach. Also, this research is a type of applied research. As mentioned, this research is derived from qualitative research. In the qualitative part, the determining factors of the financing model of small and medium companies in the stock exchange were conducted based on the Foundation's data method and through interviews with 15 elites, and as a result, 15 main categories and 81 subcategories were identified. For the quantitative part, 384 people were randomly selected as the final sample. The findings of the research showed that the causal factors have a positive and significant effect on the background factors. Also, the findings showed that the central phenomenon, contextual and intervening factors have a positive and significant effect on strategic factors. In addition, the findings showed that strategic factors have a positive and significant effect on the results.