Javid Hatam; Maryam Bokharaeian Khorasani; Arash Naderian; Jamadori Gorganli Doji
Abstract
In this research, the impact of clear rumor declarations on the measurement of abnormal stock returns behavior has been investigated in Tehran Stock Market by means of event research so that to reveal well abnormal stock returns behavior. Following testing 169 clear rumor declarations during the period ...
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In this research, the impact of clear rumor declarations on the measurement of abnormal stock returns behavior has been investigated in Tehran Stock Market by means of event research so that to reveal well abnormal stock returns behavior. Following testing 169 clear rumor declarations during the period (2017-2019), Using Spss statistical software version 26 and Eviews version 12, the results of regression analysis and correlation tests indicate that content of clear rumor declarations may affect abnormal stock returns behavior. Confirmation of good rumors has increased the efficiency of abnormal stock returns 10 days after the date of the given declaration and approval of bad rumors has led to reducing the efficiency of abnormal stock returns upon declaration day. Similarly, the results showed that if rumors were disclosed during working hours in Tehran Stock Market they would reduce the efficiency of abnormal stock returns on the same day. After comparing the results of the research, the need to educate and promote the shareholding culture among shareholders is felt more than ever before. They also need to shift their focus from focusing on rumors to principled investing in futures stocks to avoid cross-sectional fluctuations, destructive rumors and other market risks and achieve a good return stock
Fatemeh Safari Sarchah; Hassan Yazdifar; Ahmad Pifeh
Abstract
The purpose of this study is to investigate the impacts of external and internal organizational factors of the privatization process on management accounting practices and the impact of these changes on the financial performance of listed companies on Tehran Stock Exchange that more than 51% of the companies' ...
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The purpose of this study is to investigate the impacts of external and internal organizational factors of the privatization process on management accounting practices and the impact of these changes on the financial performance of listed companies on Tehran Stock Exchange that more than 51% of the companies' shares have been transferred to the private sector. This research, based on institutional and structural theories, provides an exhaustive explanation of changes in management accounting practices by considering the conflict of the internal and external factors and the role of the human factor in the privatization process. In this study, according to the general policies of Article 44 of the Constitution, to increase competitive advantage, management accounting has been used as a mediating variable in the relationship between privatization and financial performance. To this research, 60 companies which their ownership transferred to the private sector during the period from 2002 to 2018 were investigated. To collect data, questionnaire survey and companies financial statements were adopted and to test the hypothesis Structural equation An investigating of the impacts of external and internal organizational 19 modeling using Smart PLS software. The findings of the study show that external and internal organizational factors in the privatization process, have a significant impact on the management accounting practices that these changes effects on the financial performance of companies. The result is that in the privatization process, the external and internal organizational factors and contradiction of the incompatibility of these factors with the human factor provide the conditions for changes in management accounting practices that effect on the financial performance of companies. The results of the current study could be useful for the effectiveness of management accounting changes and their impact on the financial performance of companies in the merger and acquisition processes in developing countries.
Ebrahim Abbasi; Ali Tamoradi
Abstract
The companies with major customers can supply a considerable source of cash flows by selling a large portion of their products to them. Since the lack of purchase, loss, or bankruptcy of major customers can result in a significant reduction in cash flows in the company, thus the risk is the companies ...
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The companies with major customers can supply a considerable source of cash flows by selling a large portion of their products to them. Since the lack of purchase, loss, or bankruptcy of major customers can result in a significant reduction in cash flows in the company, thus the risk is the companies with major customers is higher than other companies. Thus, the present study aimed to investigate the effect of customer concentration on company risks. For this purpose, the effect of customer concentration on three criteria of stock price crash risk, bankruptcy risk, and employment risk was studied. The research sample included 127 companies listed in the Tehran Stock Exchange during 2011-2018. Multivariate regression models with panel data were used by the random-effects method to test the research hypotheses. The research findings indicated that customer concentration has a significant positive effect on stock price crash risk, bankruptcy risk, and employment risk. In other words, stock price crash risk, bankruptcy risk, and employment risk are higher in the companies where the concentration of major customers is higher.
Tahereh Mosallanezhad; Shokrallah Khajavi; Abdolkhalegh Gholami; Hashem Valipour
Abstract
The present study aims to investigate the needs of users in connection with the information of intangible assets in current financial statements with an emphasis on the way of disclosing non-financial information. For this purpose, the effect of the two independent variables of causal links’ discussion ...
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The present study aims to investigate the needs of users in connection with the information of intangible assets in current financial statements with an emphasis on the way of disclosing non-financial information. For this purpose, the effect of the two independent variables of causal links’ discussion and level of non-financial performance on the financial performance of the firm, as the dependent variable, has been studied. The research is applied in terms of its objective and it is a survey in terms of the research design. The research population includes PhD students of accounting in top-ranking universities of Iran. Statistical methods, including test ratio, single-sample t-test, independent t-test, and one-way and two-way variance analysis have been used to test hypotheses. The findings show that the disclosure of non-financial intangible information along with causal links does not affect the judgment of investors with a low or high level of knowledge. However, it should be noted that the recall of the performance in terms of non-financial criteria by investors, who have a causal link discussion, is higher than others.
Mohammad Marfou; Roohollah Seddighi; Mojtaba Alifamian
Abstract
The purpose of this paper is to investigate the role of managerial ability in information environment quality in the listed companies on the Tehran Stock Exchange (TSE). This research has focused on the quality of the information environment and has attempted to investigate the impact of management ability ...
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The purpose of this paper is to investigate the role of managerial ability in information environment quality in the listed companies on the Tehran Stock Exchange (TSE). This research has focused on the quality of the information environment and has attempted to investigate the impact of management ability along with other variables affecting the information environment quality such as size, performance, accrual quality, etc. In this study, to measure the quality of a company's information environment "ratio of stock return volatility to market return volatility " and to measure managerial ability The Demerjian et. al. (2012) model is used. The systematic elimination method was used for sampling 105 firms listed in Tehran Stock Exchange during the time range 2015 to 2021, and the model of panel data was applied to test hypotheses. Based on the research results while managerial ability can enhance the quality of a company's information environment, the size and growth rate of the company can also affect the information environment quality.
Fatemeh Parvaneh; Roya Darabi; Shahram Chaharmahali
Abstract
Profit is one of the financial statement items that significantly impact user decision-making and has received a lot of attention. Evaluating goal achievement is one of the essential aspects of any economic activity. With the increasing progress of economic activities and the need for more accurate evaluation ...
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Profit is one of the financial statement items that significantly impact user decision-making and has received a lot of attention. Evaluating goal achievement is one of the essential aspects of any economic activity. With the increasing progress of economic activities and the need for more accurate evaluation methods to reality and complete older methods, this issue undoubtedly enters a new field. Economic value added is a performance measure that accurately calculates how a company's value increases or decreases, considering the opportunity cost of shareholders and the time value of money. This research aims to identify the most influential factors for explaining economic and accounting profit using an artificial intelligence approach. There is no such internal research given the subject. The financial data of 127 companies from 2011 to 2019 was used to test the hypotheses. The findings indicate that the variables "profit quality," "profit stability," "profit predictability," "profit smoothing," "profit transparency," "close proximity to cash," "awareness," "conservatism," and "timeliness" have a significant relationship with economic and accounting profit. However, there is no meaningful relationship between economic profit and accounting profit and the variable "Profit relevance."
Behjat Abbasi; Mohammadhamed Khanmohammadi; Zahra Moradi; Tahereh Mahmoodiyan
Abstract
Strategic management accounting, including systems and processes in the modern era, is characterized by changes in the competitive environment that, Can be achieved through the participation of companies in the management accounting system, Assist financial managers to make decisions in the value chain ...
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Strategic management accounting, including systems and processes in the modern era, is characterized by changes in the competitive environment that, Can be achieved through the participation of companies in the management accounting system, Assist financial managers to make decisions in the value chain and develop green accounting functions. Unfortunately, though, over time, strategic management accounting techniques are still unknown to corporate executives, especially in environmental processes, leading to a decline in corporate participation in strategic decision making. The Purpose of this research is Capacity Building Green Accounting Consequences Based on Explanation of Strategic Management Accounting Techniques by analysis of CARD and developed the theory of Rough (ERST). The methodology of this research is developmental, applied and hybrid and two groups of target population participated in this research. In the first part of 15 experts in the field of accounting at the university level an In the second part, 35 executives participated matrix Tehran Stock Exchange through a questionnaire that both the target population, sampling was homogenous. In this research, in the qualitative part, the components and indices related to the research variables were selected based on content analysis and cross-analysis and then based on Delphi analysis and hierarchical analysis in order to achieve theoretical adequacy. Then, in the quantitative section, through the analysis of the Rough Complex analysis, the decision tree determined the most effective green accounting function/outcome and strategic management accounting technique, and finally, the product life cycle costing technique is the most effective strategic management accounting technique for enhancing green accounting functions. In fact, the results showed that product cycle costing technique is a factor for enhancing the cost savings of recycling and waste recycling costs and increasing the competitiveness of the company as a component of green accounting competitive Consequences.
Maryam Bazraei; Salleh Ghavidel; Ghodratollah Emamverdi; Mahmoud Mahmoudzadeh
Abstract
In this study, we examine the correlation between stock returns of Export-oriented (EOIs) and Import-oriented (IOIs) industries and exchange rates, to derive stock-exchange optimal weights, attempting to manage the risk of investors in the capital market. To do so, the ADCC and DCC models are used. The ...
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In this study, we examine the correlation between stock returns of Export-oriented (EOIs) and Import-oriented (IOIs) industries and exchange rates, to derive stock-exchange optimal weights, attempting to manage the risk of investors in the capital market. To do so, the ADCC and DCC models are used. The data consists of the stock return of the listed industries, and the daily exchange rate from 2008 to 2020. The results suggest that EOIs have a dynamic asymmetric conditional correlation, and IOIs have a dynamic symmetric conditional correlation with the exchange rate. Moreover, the results indicate that in both currency crises, the weight of optimal portfolio in all industries except pharmaceuticals, in non-crisis period is over 50% and in the crisis period is less than 50%. Accordingly, and to reduce the risk of the portfolio, in the non-crisis period, investors should invest more than half of a one-Rial portfolio to dollar exchange, and in the crisis period, they should allocate less than half of a one-Rial portfolio to this currency. In case of the currency crisis, it is suggested that investors invest in the stock of basic metals, because this industry is a pioneer in attracting currency crisis and increasing stock value of the industry through future cash flow and replacement value, and reduce the stock of pharmaceuticals and computers in their portfolio, due to attracting negative effects of the exchange market.
Farzin Rezaei; Hamed Esmaeilnozar; Abbas Khodaparast Salekmoalemy
Abstract
Earning is one of the most important items of financial statements. Sometimes managers manipulate and distort earning reports to maximize their own benefits, reach a certain profitability level, or achieve a certain corporate objective. Firms with a low level of debt tend to have few or no restrictive ...
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Earning is one of the most important items of financial statements. Sometimes managers manipulate and distort earning reports to maximize their own benefits, reach a certain profitability level, or achieve a certain corporate objective. Firms with a low level of debt tend to have few or no restrictive clauses in their debt contracts, which allow them to operate with less concern about breaching these contracts and give less incentive to managers to engage in earning management reports through accrual manipulation. However, when firms accumulate large amounts of debt, the relationship between debt and accrual-based earnings management tends to get reversed. In firms with large debts, managers are incentivized to report good earnings as they are under pressure to avoid the penalties of violating the restrictive clauses in their debt contracts. In the absence of scientific and empirical evidence regarding this issue, the present study examined the nonlinear relationship between debt structure and real and accrual-based earnings management. For this purpose, the data pertaining to a sample of 130 firms listed on the Tehran stock exchange from 2014 to 2019 were collected and analyzed. The results of multivariate regression analysis showed a nonlinear relationship between debt structure and accrual-based earnings management. A non-linear relationship was also found between current debt structure and real earnings management. However, the results could not confirm the presence of a non-linear relationship between total debt structure and real earnings management
HamidReza Ganji; Mehran Jahandoust Marghoub; Vahid Menati; Seyed Rasoul Hosayni
Abstract
Corporate Social Responsibility (CSR) concept is closely related to the notion of sustainable development, and the outcome of the sustainable development approach is specific consideration to disclosure and reporting of CSR. One factor that is less considered in the Iranian economic environment and research ...
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Corporate Social Responsibility (CSR) concept is closely related to the notion of sustainable development, and the outcome of the sustainable development approach is specific consideration to disclosure and reporting of CSR. One factor that is less considered in the Iranian economic environment and research is the competitive nature of the product market in today's highly competitive and sensitive environment. So, the main aim of this paper is to investigate the moderating effect of competition in the product market on the debts ratio and the CSR relation among companies listed on the Tehran Stock Exchange. The independent variable in this study is CSR, and the dependent variable is the debts ratio. In order to investigate this issue, the research sample was determined using the systematic elimination method, and 97 companies were selected for seven years from 2012 to 2018. Multivariate regression was used to analyze the data and test the hypothesis. For this purpose, the output-oriented BCC model has been used to measure companies' CSR, and the Lerner index has been used to represent competition in the product market. The results show that high competition in the product market moderates the relationship between CSR and debts ratio. In other words, when competition in the product market is high, Firms adopt lower debt ratios by fulfilling their social responsibilities. The investigation of the moderating effect of the competition is the distinguishing feature of our research compared to other studies. Therefore, players of industry, business, creditors, and investors should pay attention to the intensity of competition in the market.
Maryam Nouraei; Ataalah Mohammadi Molgharni; Iraj Noravesh; Kaveh Bahman Pour
Abstract
The objective of the current survey was to excavate the effect of the rate of hormones in the blood, age, and gender on the financial behavior of managers. Also, preparing and propounding the neurofinance model of financial behaviors that have generated anomalies such as optimism in the market is other ...
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The objective of the current survey was to excavate the effect of the rate of hormones in the blood, age, and gender on the financial behavior of managers. Also, preparing and propounding the neurofinance model of financial behaviors that have generated anomalies such as optimism in the market is other intentions of this study. This research has been operated with an inductive approach and experimentally in a one-time period in a statistical population consisting of 37 male and female managers with an average age of 25-60 years. The amounts of the testosterone, free testosterone, cortisol T3, T4, and TSH were deliberate in a medical diagnostic laboratory with a blood test. Managers' optimism data were accumulated with a standardized questionnaire straight away afterward receiving the blood sample. The prepared data were analyzed with SPSS and LISREL and RSM software. The outcomes demonstrated that age has a significant inverse relationship with optimism. Free Testosterone; T4 and testosterone play an inverse role in optimism augmenting. Cortisol and T3 are straightly related to optimism. Also, financial behavior is further related to the dimension of optimism in women than men, and with growing older, optimism decreases. The significant effect of testosterone and cortisol, age and gender on optimism, confirmed the effect of these hormones on the financial behavior in other studies. The effect of testosterone and thyroid hormones on optimism was considered in this survey for the first time.
Habib Esmaeilzadeh; Hasan Ghodrati; Hossein Jabbari; Meysam Arabzadeh
Abstract
Sustainability reporting is an important tool for decreasing information asymmetry, according to the stakeholders' demands for transparency. On the other hand, increasing transparency allows investors to have more appropriate evaluations of firms' activities and direct their investments to companies ...
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Sustainability reporting is an important tool for decreasing information asymmetry, according to the stakeholders' demands for transparency. On the other hand, increasing transparency allows investors to have more appropriate evaluations of firms' activities and direct their investments to companies with more enthusiasm. In the organizational context, information asymmetry creates conflict between owners and managers. Managers tend to reduce the gap between themselves and stakeholders, particularly shareholders, by producing and delivering reports. Companies use sustainability reports to connect with their society and environment, as well as a way to manage interactions with various stakeholders for societal approval and activity continuation. The primary purpose of this study is to provide a model for measuring the quality of sustainability reporting and the determinants. In terms of methodology, the current study is qualitative, deductive, cross-sectional, applied, and exploratory. The criteria were identified and extracted, then evaluated and prioritized using Multi-Criteria Decision-Making approaches including Fuzzy Analytic Hierarchy Process and Fuzzy Decision-Making Trial and Evaluation Laboratory Analytic Network Process-based. The FAHP test revealed that of the six indicators, the GRI's reporting guidelines for sustainability Checklist were placed highest. Internal Controls Reporting, Sustainability Innovation Performance, and Earnings Quality rated first to third, respectively, among the 25 criteria affecting the quality of sustainability reporting, according to the FDANP.
Mahmoud Goudarzi; Amir Mohammadzadeh; Mohsen Seighali
Abstract
One of the characteristics of the financial market, especially the stock market, is the effects of behavioral factors and on other financial and non-financial markets. There are several factors that affect the return of a stock exchange. We can refer to political, socio-cultural, technological and finally ...
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One of the characteristics of the financial market, especially the stock market, is the effects of behavioral factors and on other financial and non-financial markets. There are several factors that affect the return of a stock exchange. We can refer to political, socio-cultural, technological and finally economic factors. A stock market is an economic market in which securities are traded under specific rules and regulations. Accordingly, in this study, the effect of behavioral financial arguments and other financial markets on stock market returns based on quantitative analysis has been studied. This article tries to examine how exchange rates, gold, and oil as key factors of a model can explain fluctuations of the stock market index. so the effect of those variables on the stock market index in the period 2008 to the first six months of 2018 has been analyzed using the FIAPGARCH-X model. The results of the analysis show that the effect of exchange rates on the stock market fluctuations is greater than the other two factors. The results also indicate that there are asymmetric effects of increased returns on the stock market, which is consistent with behavioral bias in behavioral finance.
Ehsan Ahmadi; Parastoo Mohammadi; Farimah Mokhatab Rafei
Abstract
Making decisions regarding capital structure is among the most challenging issues ahead for firms and the most critical decisions for their survival. On the other hand, several significant aspects, such as behavioral factors, have been overlooked in this field. Thus, the present study mainly seeks to ...
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Making decisions regarding capital structure is among the most challenging issues ahead for firms and the most critical decisions for their survival. On the other hand, several significant aspects, such as behavioral factors, have been overlooked in this field. Thus, the present study mainly seeks to identify the factors affecting capital structure in Iranian firms, emphasizing the role of behavioral factors. The present study employs mixed qualitative and quantitative research methods. From the qualitative point of view, capital market experts were inquired, and theoretical saturation was achieved using the snowball method. After the interviews, research components were extracted through coding. The opinions of a group of experts and managers of firms listed on the Tehran Stock Exchange were used in the quantitative section, and a structural equation form was used to perform confirmatory factor analysis on the research model. A total of 63 concepts in the form of six categories were identified at the first stage, which was reduced to 58 in the form of six categories and was confirmed after the concepts were sent back to the experts. The principal components included behavioral factors, macroeconomic factors, political factors, socio-cultural factors, firm features, and corporate governance. Results were validated through factor analysis in the quantitative portion of the study. The present study can be considered among the comprehensive studies at the construct level with an integrated approach to firms' capital structure. The emergence of behavioral finance resulted from understanding the importance of measuring human behavior as a factor with transcendent consequences for financial decisions. Hence, most behavioral finance studies are focused on observable behaviors. However, the item response theory presents an integrated method for disciplines that work with cognitive variables. Accepting opportunities for new knowledge is essential for firm decisions to respond to the mental views of financial managers.The present study sought to identify the factors influencing firms' capital structure in Iran. The tool used in the present study reflected the elements making up the capital structure. In this regard, the notable point is how the classic criterion of structural capital components can explain financial managers' perception of decision-making. The research results in this area are interesting since we have confirmed a capital structure theory at the construct level. The conformity of the results and the obtained reliability levels indicate that this theory fits the given dimensions well. Moreover, relevant evidence indicates that senior financial managers adopt various states considering internal and external factors at the structural level, which can cause cognitive bias in decision-making.
Javad Ghaznavi Doozandeh; Mansour Garkaz; Ali Khozein; Alireza Maetoofi
Abstract
When auditors intentionally or unintentionally approve financial statements in line with the views of their employers, the public interest and the auditing profession are at serious risk. The purpose of this study was to examine the process by which auditors' interests will influence decision making. ...
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When auditors intentionally or unintentionally approve financial statements in line with the views of their employers, the public interest and the auditing profession are at serious risk. The purpose of this study was to examine the process by which auditors' interests will influence decision making. To achieve this goal, first in the qualitative part of the research, by studying the background of accounting research and interviewing experts through the fuzzy Delphi method, the effective components on conflict of interest were identified. In the second part of the study, using social-cognitive meta-theory and operational decision-making power in the stimulus-organism-response (S-O-R) paradigm, data obtained from 362 certified public accountants. Smart-PLS software and Structural equations have been implemented for data analysis and hypotheses testing. Cognitive processes, including expected positive outcomes, understanding the problems of consistent decision-making, and ethical judgment, play a mediating role between the conflict of interest and deviant decision-making, and through these intervening variables, conflict of interest can be monitored and reduced. The results show that professional ethics with the confirmation of all hypotheses are considered as the most effective component. It also showed that reducing the expected positive results, increasing the understanding of problems, and reducing the auditors' ethical judgment in the assigned tasks will lead to deviant decisions. By implementing the proposed algorithm, cognition processes can be directed towards consistent decision making.
Marziyeh Nourahmadi; Fatemeh Rasti; Hojjatollah Sadeqi
Abstract
Data mining is known as one of the powerful tools in generating information and knowledge from raw data, and Clustering as one of the standard methods in data mining is a suitable method for grouping data in different clusters that helps to understand and analyze relationships. It is one of the essential ...
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Data mining is known as one of the powerful tools in generating information and knowledge from raw data, and Clustering as one of the standard methods in data mining is a suitable method for grouping data in different clusters that helps to understand and analyze relationships. It is one of the essential issues in the field of investment, so by using stock market clustering, helpful information can be obtained to predict changes in stock prices of different companies and then on how to decide the correct number and shares in the portfolio to private investors and financial professionals' help. The purpose of this study is to cluster the companies listed on the Tehran stock exchange using three methods of K-means Clustering, Hierarchical clustering, and Affinity propagation clustering and compare these three methods with each other. To conduct this research, the adjusted price of 50 listed companies for the period 2019-07-01 to 2020-09-29 has been used. The evaluation results show that the obtained silhouette coefficient for K-means Clustering is higher and, therefore, better than other methods for stock exchange data. In the continuation of the research, calculating the co-integration of stock pairs that have the same co-movement with each other were identified, and finally, clusters were compiled using the t-SNE method.
Alireza Kamalgharibi; Mansour Garkaz; alireza matoufi; Mehdi Safari Gerayli
Abstract
Judgment in the auditing profession as a subjective criterion in the decisions of auditors has a significant role in improving the quality of decision support for analysts, shareholders, and investors in the capital market. Therefore, recognizing the qualitative characteristics in this area can help ...
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Judgment in the auditing profession as a subjective criterion in the decisions of auditors has a significant role in improving the quality of decision support for analysts, shareholders, and investors in the capital market. Therefore, recognizing the qualitative characteristics in this area can help the theoretical development of improving the quality of auditors' professional judgments. The purpose of this study is to develop the effectiveness of auditing professional judgment based on the mindset of auditors. In this study, to identify the components (auditing professional judgment) and research propositions (themes of auditors' mindfulness), meta-synthesis analysis was used with the participation of 12 experts and experts in the field of accounting and financial management at the university level. In the quantitative part, the identified components and propositions in the form of matrix questionnaires were evaluated by interpretive analysis by 18 auditors with work experience and a level of technical and specialized knowledge. The results showed that the statement of inferential mindfulness is the most influential theme of intuitive judgment in auditing, which can cause auditors to perform more effectively in professional judgment. This result suggests that inferential mindfulness is a factor in intuition in professional judgment.
Seyed Hasan Masoudi Alavi; Mohammad Nadiri; Ali Reza Saranj
Abstract
Investor sentiment is one of the non-fundamental factors that affect the financial markets, which itself is influenced by various factors, including oil price changes. This study aims to investigate the impact of oil price on investor sentiment in stock market industries in the Tehran Stock Exchange ...
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Investor sentiment is one of the non-fundamental factors that affect the financial markets, which itself is influenced by various factors, including oil price changes. This study aims to investigate the impact of oil price on investor sentiment in stock market industries in the Tehran Stock Exchange (TSE) using monthly data from April 2010 to June 2020. To investigate this issue, stock exchange industries were grouped into three categories: total industries, oil-related industries, and non-oil industries, and the effect of oil prices on investor sentiments in these three groups was examined using the pooled mean group (PMG) technique. The PMG approach considers both the short- and long-run relation between series and provides reliable results in the context of dynamic heterogeneous panel models. The implementation of PMG in all three models shows the impact of oil prices on investor sentiment over both the short and long run. Findings suggest also that oil price has positive and significant in all three models in the long run and the oil price coefficient is higher in oil-related industries than non-oil-related industries. These results are the opposite of the results obtained by similar studies, which can be due to the special features of countries, e.g. being oil exporters or oil importers
Hassan Heydari Soltanabadi; Hosein Panahian; Hassan Hemmati
Abstract
As the capital market becomes more competitive, one of the topics that has attracted the attention of many financial researchers in recent years is the liquidity of corporate stocks that because of the dynamics it can create in corporate financing, it is of strategic importance. The purpose of this research ...
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As the capital market becomes more competitive, one of the topics that has attracted the attention of many financial researchers in recent years is the liquidity of corporate stocks that because of the dynamics it can create in corporate financing, it is of strategic importance. The purpose of this research is designing a Model of Comprehensive interpretive/structural Mechanism of Effectiveness of Stock Liquidity Tehran Stock Exchange Companies. The one-year study period 2018-2019 in both qualitative analysis and quantitative analysis was conducted with the participation of two members of the panel. In the qualitative analysis section, this research identified through the combination of Delphi and the analysis of three components of the operational mechanism, the structural/governance mechanism, and the investor/mechanism of trading mechanism in the form of the effective statement on stock liquidity. And in the Comprehensive Interpretive / Structural Analysis section, with the participation of four Stock Exchange brokers, members of the panel presented a model based on a spectrum of the most influential statements to the least effective stock liquidity statements. The results show that the Delphi analysis of 25 indicators identified early in the meta-synthesis, 7 Index Remove and 2 indicators have been merged for a total of 16 statements were approved. In the quantitative section, based on a comprehensive interpretive/structural analysis, it was identified that the increase in the number of trading transactions as the component of operational mechanisms was identified as the most influential factor in stock liquidity.
Moslem Peymany; Amir Hossein Erza; Farnaz Seifi
Abstract
The relationship between risk and return is not symmetric under different circumstances. As the prospect theory describes, the value function which passes through the reference point is steeper for losses than gains (asymmetric risk appetite). But such an asymmetrical risk aversion could be traced in ...
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The relationship between risk and return is not symmetric under different circumstances. As the prospect theory describes, the value function which passes through the reference point is steeper for losses than gains (asymmetric risk appetite). But such an asymmetrical risk aversion could be traced in different periods of investment and market boom and bust cycles behind the reference point. Moreover, investors’ asymmetric behavior is different regarding various risks, such as market risk, illiquidity risk, and credit risk. This paper examines the asymmetric investors' reaction to various risks in Tehran Stock Exchange (TSE) both in recession and growth from 2011 through 2016. Evidence reveals that although all three kinds of risks are relevant, especially illiquidity risk, risk factors’ explanation power in the bullish market is less than the bearish one. This indicates that investors tend to show an asymmetric reaction to risk in up and downswing markets. The asymmetric behavior is also predominant due to investors’ weak attention to the market risk in a growing market in opposition to a recessive market condition that turns out to be an important risk consideration. The results of this study can help investors to consider asymmetrical behavior effect when they are making their minds on investment decisions.
Azam Ahmadyan; Mehdi Ghasemi Ali Abadi
Abstract
Added over the period 2006-2018. We focused on different proxies of corporate governance indicators, such as the Directors' Effectiveness, the Transparency and the Disclosure, Responsibility. Basel Principles have been used to make corporate governance indicators and Stern & Stewart and Chew (1995) ...
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Added over the period 2006-2018. We focused on different proxies of corporate governance indicators, such as the Directors' Effectiveness, the Transparency and the Disclosure, Responsibility. Basel Principles have been used to make corporate governance indicators and Stern & Stewart and Chew (1995) method have been used to make banking economic value added. We used the PCA method to choose important indicators. The results of PCA estimation identified ten important variables affecting banks' economic value added. Due to the importance of banks' age in creating economic value-added, banks are divided into two classes according to age. The GMM method is used to estimate the models. Eight models were designed to examine the impact of different corporate governance measures on the banking economic value added. The results indicated that corporate governance indicators were significant in explaining changes in the Iranian banking economic value added. The result also shows that according to the banks' age, the effectiveness of the board structure is greater than others. This illustrates the importance of board structure more than other criteria.
Reza Taghizadeh; GholamReza Rezaei; Mohammad SadeghzadehMaharluie
Abstract
Tax is one of the primary sources of government revenue which is a principal part of the government budget and is considered an inevitable part of corporate payments. The Board of directors is one of the chief decision-making groups in determining corporate tax avoidance. Therefore, the relationships ...
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Tax is one of the primary sources of government revenue which is a principal part of the government budget and is considered an inevitable part of corporate payments. The Board of directors is one of the chief decision-making groups in determining corporate tax avoidance. Therefore, the relationships seen in the form of a social network between the board members of various companies can affect the tax policy of companies. The primary purpose of this study is to examine the structure of relationships between companies based on their joint board members and to detect the relationship between the companies position in the network of board members' relations with their tax planning activities. The statistical population of this research was all companies listed on the Tehran Stock Exchange from 2011 to 2020. The social network analysis approach developed on graphic techniques based on graph theory and regression analysis was used to conduct the research analysis. The research results show that some companies active in the Tehran Stock Exchange have a better position than other companies in the network. In addition, evidence showed that the status and position of companies in the network of relationships could affect the extent of their tax avoidance.
Seyedeh Fatemeh Hosseini; Hassan Mafi; Reza Shakeri Bostanabad
Abstract
High transaction costs have been cited as limiting access to credit in developing countries. This issue is much more critical for knowledge-based companies due to their position in accelerating economic growth and the particular characteristics of these companies. Therefore, this research aims to evaluate ...
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High transaction costs have been cited as limiting access to credit in developing countries. This issue is much more critical for knowledge-based companies due to their position in accelerating economic growth and the particular characteristics of these companies. Therefore, this research aims to evaluate the transaction cost of financing knowledge-based companies from an official fund in Iran that provides financial support for innovations and technologies. The data was collected through interviews and questionnaires in a sampling of knowledge-based companies in 2022. In this study, after calculating the transaction costs of financing, the effect of the factors affecting it has been investigated. The investigated sample was 123 companies from the fund's customers. The results showed that, on average, the ratio of transaction cost to the facility, transaction cost rate, total cost rate (transaction cost and interest rate), and the ratio of transaction cost to interest rate are equal to 3.33, 7.04, 15.66, and 0.81, respectively. Based on the results, the facility amount, the number of payment steps, the distance between the request for the facility and the contract, the interest rate, and dummy variables for the type of facility have a positive and significant effect on the transaction cost
Seyed Behnam Khakbaz; Mohammad Ali Shahhoseini; Ali Divandari; Hamidreza Rabiee
Abstract
Resource allocation, as the main objective of managerial science, requires analyzing the long- and short-term effects of a policy, although this analysis would be more difficult in dynamic and volatile industries such as financial technology. Moreover, the integration of industries leads to more diverse ...
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Resource allocation, as the main objective of managerial science, requires analyzing the long- and short-term effects of a policy, although this analysis would be more difficult in dynamic and volatile industries such as financial technology. Moreover, the integration of industries leads to more diverse product categories for a single company and makes it difficult for the implementation of decision making about resource allocation. In this regard, systemic PPM (PPM) models can be applied to balance long- and short-term generated values of the company by adopting policies about resource allocation for different products with respect to risk management concepts. The proposed systemic model should include interrelationships between different products, time relevant, and most importantly the potentials of dynamic analysis of product strategies, which is the main purpose of this research. The research strategy is to conduct a case study on the Iranian financial technology industry, by using systemic PPM modeling. In this research, a dynamic model was used in the payment industry, due to its competitive forces. Thus, system dynamics methodology was the research tool for analyzing data. Further, four cycles of risk management, resource allocation, innovation, and development were identified and then, analyzed in a dynamic approach to evaluating their efficiency for business development. Based on the results, the system dynamics methodology provided great outcomes for this problem. Finally, scenario analysis, focus, deep understandings of the decision-making process with respects to mental models, and stock and flow diagrams were among the most significant findings of this article.
Ali Namaki; Mehrdad Haghgoo
Abstract
One of the essential factors that lead to severe disruptions in financial markets is price bubbles and subsequent crashes. Numerous models for detecting bubbles have been developed, one of which (LPPLS) has lately attracted considerable interest. This study aims to utilize this model to detect price ...
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One of the essential factors that lead to severe disruptions in financial markets is price bubbles and subsequent crashes. Numerous models for detecting bubbles have been developed, one of which (LPPLS) has lately attracted considerable interest. This study aims to utilize this model to detect price bubbles in Tehran Stock Exchange's index (TEDPIX). Confidence multi-scale indicators for this model are presented by fitting the LPPLS model to the data of the TSE index from 2009 through 2020. The bubble is detected when the number of fits that are in our filter conditions increases which means the growth of the indicator's value. By applying this method on TSE data two significant crashes in 2013 and 2020 are detected. The proposed technique can be useful for market participants to detect financial crashes and bubbles.