جستجوی مقالات مرتبط با کلیدواژه « capital market » در نشریات گروه « مالی »

This research seeks to provide a model for explaining the dimensions of customer sentiment management of asset management services, including investment funds and portfolio-managed accounts, using meta-synthesis application. By reviewing and screening 254 papers written between 2002-2022, coding was done by studying 49 studies. Finally, the components were classified with 32 final codes as basic themes and 5 codes as organizing themes. The reliability and validity of the model were calculated by a Kappa coefficient equal to 0.78, which is at the level of excellent agreement. Since this study uses the meta-synthesis method, its innovation is a method that examines all national and international studies in this field and identifies the dimensions of the subject completely and comprehensively for the readers. According to the results, the components of customer sentiment management dimensions of asset management services were categorized with five themes including the importance of sentiment management, influencing factors on customer sentiments, sentiment characteristics, sentiment management practices, and results of sentiment management. The results can be used by managers of asset management institutions in designing strategies for managing customers' sentiments.

The credit rating of companies is an important factor in the reliability of companies that It can influence the behavior of investors and market activists and gain their trust.The main purpose of this study is to identify factors affecting the credit rating of publishers in the market. The statistical population of this research is all the companies accepted in the Tehran Stock Exchange and the number of the statistical sample of this research is 118 companies. The time periode of the research is from 1393 to 1400 (Iranian calendar). The test of the research hypotheses has been done by the econometric method of panel data and by using Eviews software. The results of the research hypotheses test show the effect of the variables of earnings, operating profit, economic incom, earnings before income tax and Acid ratio on the credit rating of publishers. Also, based on the results of regression coefficient, the highest coefficient related to the acid ratio with 0.16 and the lowest coefficient related to economic incom with 0.14 were obtained.

Despite the benefits of offering and listing companies' shares in the capital market and the world's success in this regard, in Iran, this is accompanied by obstacles that make companies reluctant to offer to the capital market. Therefore, this study aims first to identify barriers to offer and list companies in the capital market and then to provide operational solutions to eliminate them. Obstacles and solutions were collected through 10 semi-structured interviews with experts with a purposeful approach. In the data analysis stage, the content analysis method was used, and the points extracted from the interviews were divided into three themes: basic organizing and comprehensive. The results were then returned to the interviewees to obtain approval.30 basic themes were extracted from a total of 76 codes, and these themes were classified under five organizing themes, including 1. Cultural 2. Legal 3. Regulatory 4. Financial-economic 5. Administrative. Finally, 11 solutions related to organizing themes were extracted from the interviews.

Today, achieving the economic goals of any country is impossible without the public participation of society, because the accumulation of micro-savings of the people leads to the formation of capital, which economists consider one of the most important factors of economic development. Therefore, the purpose of this study is to identify the components affecting the financial stress of Individual capital market investors and to explain the pattern of relationships between economic and non-economic components of financial stress and its consequences. Hypertext technique was used to identify items of financial stress and its consequences with the help of library and field resources; For group decision making and component classification of items from Lawshe index and fuzzy Delphi technique; Using the Demetel method, the relationships between economic and non-economic components were modeled. This research is an exploratory mix in terms of research strategy, survey and one-time in terms of execution time, and MAXQDAv10, SPSS and Excel software have been used to analyze the data collected in the country's securities market. Findings include identifying the pattern of relationships between 10 components (5 economic components and 5 non-economic components) for the variable of financial stress and 4 components (2 economic components and 2 non-economic components) for the variable consequences of financial stress. The results show that the component of "economic factors" with a net effect of 1.6858 is the most important component of the cause of financial stress of Individual shareholders and the component of "consequences for society" with a net effect of -2/2013 is the most important component of the outcome (effect) of financial stress. By rooting out the financial stressors of Individual shareholders, a very effective ground is provided for Individual investors to create new horizons of decision-making in the capital market, economic sub-sectors and especially capital market policy areas.

The main purpose of this study is investigating effects of DB-PAYG and Full-Funded pension systems on the economy and capital market of Iran. The effects of these two pension systems have been studied in form of different fiscal policies by simulating an Overlapping Generations Model. Simulated fiscal policies are compared to a situation which society has no pension system and people spend their income only on their own consumptions or savings. The results show that in the DB-PAYG pension system, reduction of capital stock and therefore the reduction of output and level of welfare are significant. Fully-Funded pension system does not reduce the level of welfare, capital stock and production, also creating an intergenerational income distribution system. so it works better than other system. Iran's current pension system is DB-PAYG, so transferring to the Full-Funded pension system, as structural reforms, have been proposed. The dynamic of changing the pension system has been estimated and the effects of these reforms on the capital market have also been studied. The results show that structural reforms, in the long run will increase the capital stock and aggregate savings, so will increase the value and depth of the capital market, increase efficiency and corporate governance of enterprises operating in the capital market.

The purpose of the current research is to examine the effect of underreaction and overreaction on the risk distribution of the Iranian capital market. The current research is a post-event descriptive and applied type in terms of purpose. The target statistical population is all active and accepted companies in Tehran Stock Exchange, whose shares were traded in Tehran Stock Exchange from 2010 to 2019, and the statistical sample was selected based on the method of systematic elimination of 182 companies. In order to collect the required data and financial information, primary and secondary data such as reports of financial statements and audited financial statements of stock companies for a period of 10 years have been used and analyzed by Eviews9 software. For the inferential analysis of the variables, various statistical tests were used, including the Limer and Hausman F test, regression test, and panel data. The results of the research showed that there is a positive and significant relationship between underreaction and overreaction with Iran's capital market risk. In other words, incorrect pricing leads to underreaction or overreaction in stock prices from the psychological deviation of the investor, such as the investor's misunderstanding of the company's profit.

The purpose of this research is to identify the irregularities of the Iranian capital market based on metacombination and fuzzy Delphi. The current research was conducted as a mixed research (qualitative-quantitative). Based on this, in the first stage of the research, in order to extract the types of capital market irregularities from the literature related to the research, a meta-composite qualitative research method has been used. The statistical population of the research in the metacomposite section included books and articles related to the research topic (English articles studied in this research from the years 2000 to 2022 and Persian articles from the years 1385 to 1401).In the quantitative phase of the research, by using the fuzzy Delphi method and the questionnaire tool, common irregularities were screened by a survey of experts. The results of the research showed that the irregularities of the Iranian capital market include eight types of irregularities related to impulse/momentum, irregularities related to technical analysis, irregularities related to calendar, irregularities related to risk, irregularities caused by fundamental analysis, irregularities related to innovation, irregularities It is related to accrual items and irregularities related to dividends.

Algorithmic trading has a significant share in global markets. These types of transactions are also emerging in the domestic financial and capital markets. In this regard, in this study, to design and present several algorithms and trading strategies and implement and output five of the most important of these strategies using the Python programming language and compare their profitability. Has been. The study's statistical population includes all companies listed in the Iranian capital market. The sampling method is a stock selection from 30 large companies on the Tehran Stock Exchange index. The present research is applied in terms of purpose and terms of data collection, survey, and cross-sectional, in terms of subject, field, and time in terms of retrospective research. The results show that he used a different trading strategy in algorithmic trading to optimally use and compare and earn dividends of stocks traded in the future of the Iranian capital market. In the present study, five types of studies are implemented on one of the symbols of the Tehran Stock Exchange (Fars). One of the most practical strategies is to follow the trend that is welcomed by traders.

The purpose of the research is to examine special financial institutions; In the financing of tourism industry projects in Iran, it is based on the capital market. Based on the philosophical premise, this research is interpretive. Also, its paradigm is pragmatism and its approach in the field of mixed research. Here, there is a tendency towards the applicability of "what works" and solutions to problems. Therefore, the important dimensions of the research and its questions are emphasized, so no hypotheses are examined and its purpose is to answer the research questions. In this method, the researcher has compared and summarized the qualitative and quantitative results with the triangulation approach by reviewing the documents and asking the experts' opinions through preliminary semi-structured interviews and questionnaires using the Delphi method. The results have shown that real estate investment funds, project joint stock company, risk investment fund, tourism infrastructure investment fund, bond guarantee syndicate by the tourism development fund with banks, playing the role of reinsurer by the fund The development of tourism, the formation of a joint insurance association for the compensation of tourism projects has been agreed upon.

Money laundering is an illegal activity in which the proceeds of wrongdoing enter the global economy and gain legal legitimacy. The effects of money laundering on the economy can be mitigated by planning programs and solutions. This phenomenon causes serious damage to a country's economy in the long run, and the existence of money laundering in a country's economy indicates a structural weakness in that country's economy. Therefore, the purpose of this study is to predict the causal relationships between organizational risk management structures (control environment, risk assessment, control activities, information and communication and monitoring) and money laundering risk of organizations. The statistical population of this study includes company managers, auditors and faculty members of universities (experts in the field of capital market, banking and auditing) and a standard questionnaire was used to collect data. After performing the reliability and validity tests of the sample data, the relevant analyzes were performed based on the structural equation modeling approach. The results showed that money laundering risk of organizations is affected by organizational risk management structures (control environment and information and communication).

Securities Exchange Organization is one of the regulatory models in the Iranian capital market. The main question in this article is: From the perspective of public law, what are the challenges relationship between the “government” and “Securities & Exchange Organization”? In answer to this question, it has been concluded, using a descriptive-analytical research method, that:The composition of the Council members is first and foremost state-owned. Secondly, the strong presence of the government in the organization strongly influences the organization's performance and policies as a public nongovernmental organization, in a way that fosters the “governmental” and “statehood” of the exchange. Thirdly, although legally defined, the organization is a public nongovernmental organization, but the broad level of government involvement in it has violated the principle of independence and the legal personality of the organization, suggesting that such oversight would pose risks to the organization. It follows the philosophy of a non-governmental public entity, and the role of the government in this organization is more than a guardianship institution. Fourth; the council is involved in two conflicting goals: governance and tenure, resulting in reduced the stock market productivity and efficiency. Fifth; for strategic success, the stock market needs to follow the market economy in the context of limited state.

Financial markets are considered to be a kind of complex network due to the interaction and interrelationship of its various actors. Therefore, the development of stock communication networks is an important issue for discovering potential connections between different companies. Therefore, the purpose of this research is to investigate and analyze the communication structure of companies in the capital market based on price, return, and trading volume of stock with a network approach.
 
This study employs a quantitative research methodology, specifically focusing on network analysis. The data were collected in the period between 2017 and 2021 and analyzed using the network analysis method and with the help of Excel 2021, SPSS 26, UCINET 6, and its complementary package NetDraw. In addition to the general analysis and review of the price, returns, and trading volume of the stock correlation network, the performance of each node in the network was also investigated using micro-indices. Centrality is one of the most important micro-concepts of network analysis, which examines the influence and importance of people in the network. Also, it was studied with three indices of degree, betweenness, and closeness of centrality of network nodes.
 
The results indicated that as the correlation basis expands, there is a decrease in communication between different companies along with an increase in irregularity. The higher the correlation basis, the less likely it is to be affected by a common variable or interaction, which will reduce the correlation between stocks. In addition, there are companies in the communicative network that are in a better position than the rest. They may have higher connections, faster access to information, and greater influence over other units' price changes. As a result, these companies can play a decisive and leading role, or in other words, the role of key and influential actors in the governing structure. Also, the results showed that in the second period of 2021 compared to the first period, communication networks were much more erratic and scattered.
 
Considering the importance of capital market communication networks and the decisive role of key companies, relationship pattern analysis helps to increase transparency, reduce risk, and, consequently, improve decision-making, policy-making, portfolio optimization, etc by revealing the network structure of the capital market. The results of this research can lead to a better understanding of the forces that create the communication structure of companies and enable policymakers to make better decisions. Therefore, all users are suggested to pay attention to the communication structure governing the companies in the capital market and the role and impact of their position on the advancement of the company's goals in their decisions and to consider this communication structure and the way power is distributed.

In the past years, due to the reduction of bank credits and the limitations of access to international resources, companies have faced the challenge of financing. Collective financing is a new financial tool that can meet the financing needs of capital applicants and investors. If companies want to develop and promote this financial tool to attract investors' capital, they need to know the effective factors on crowdfunding marketing. Therefore, in this research, we will identify and prioritize the factors affecting crowdfunding marketing in Iran's capital market. The research method is a combination of qualitative-quantitative sequence. First, with the method of theme analysis and the use of library studies and interviews with 12 experts in the field of crowdfunding, 52 basic themes under 10 organizing themes were identified and classified into three overarching themes: contextual, causal, and intervening. Then, according to the results of the questionnaire and with TOPSIS software, the impact of themes on crowdfunding marketing was obtained. In order, the importance of the basic themes according to the overarching theme: investment culture and infrastructures; According to the comprehensive causal theme: efficiency, liquidity, time, trust, and transparency of the applicant and promotion; And according to the overarching theme of the intervener: the product (the subject of the project), the guarantee and the feature of the platform.

Capital market violations are numerous and the models of dealing with them are different. judicial model, quasi-judicial model and administrative model are the most common models of dealing with violations. Regulation is the chosen model of this article. An agreeable model between capital market activists, they have determined the authority of the regulator to establish and apply disciplinary punishment in this area. In this model, the authority of the regulator in facing capital market violations and crimes has granted by individuals and by their will. For this reason, the capital market regulator, i.e., Securities and exchange organization, must be a non-profit and non-governmental institution in order to fulfil its goal. The legislator's clarification on the powers of securities and exchange organization in the law is also a kind of emphasis on a clear matter. Only effect of passing an act is the official recognition of such an institution. Then not mentioning the powers in the law will not harm the authority of this institution. Securities and exchange organization, as the capital market regulator, has the necessary tools to achieve the goals of its formation, which these tools include regulation, imposing and applying disciplinary punishments. Therefore, establishing and applying disciplinary punishment for the violators of this field has no conflict with the criminal principles and rules, as well as the principle of separation of powers.

After the severe price fluctuations in the capital market in 2019 and the increase in the activity of the stabilization fund in the country's capital market, doubts were raised about the way of interference and conflict of interests in the activity of this fund. In this research, Iran's capital market stabilization fund has been studied in terms of its nature, function, disclosure, and type of sources, applying a comparative approach with market stabilization funds in China, Germany, and Bangladesh. Then, by referring to the opinions and comments of experts and academicians, defects, problems, and deficiencies of the capital market stabilization fund have been identified and the optimal alternative status has been drawn. The findings of this research, which was conducted by a qualitative method and integration of comparative study and in-depth interviews with experts, indicate that the optimal method for capital market stabilization fund investments is the indirect method through financial institutions. On this basis, the proposed research model is presented in the form of a conceptual model with the aim of providing a suitable alternative solution for fund intervention in the capital market.

The importance of predicting and knowing the future in order to plan and formulate economic strategies is not hidden from anyone. The accuracy of forecasts is one of the most important factors in choosing the type of forecasting method. The stock price index is one of the effective variables in economic systems that these very complex time series are usually assumed to be random and as a result their changes are assumed to be unpredictable. Such time series variables have the property that the shock to the variable takes a long time to disappear due to the possibility of long-term memory. The aim of the present study was to test the fractal market hypothesis with the Markov regime change model with a possible combination and convergence in the Tehran Stock Exchange. In this paper, the amount of long-term memory and stability of financial time series resulting from the total stock market index for the period 1388-1386 were examined. For this purpose, first the existence of long-term memory was examined, then the fractal nature of the market was examined using the Harst view index. The results indicate the existence of long-term memory in this variable. In this case, with one differentiation, it becomes more differentiated, so the stock price index series in Iran has long-term memory and the effects of each shock on this variable due to its long-term memory remain for long periods. It stays. The results also showed that the overall stock market index is fractal.

This study evaluates the effect of financial policies on stock market investment in financial friction conditions. For this purpose, two models were designed based on financial policies (taxes and government expenditures) and in the period from 1991 to 2017, the short-term dynamic relationship, long-term state and error correction of the models were estimated with the Auto Regressive Distributed Lag (ARDL). The financial friction index is used in this study based on the definition of the interest rate gap (the difference between on the lending interest rate and the deposit interest rate). The results show that in terms of financial friction, fiscal policy had a significant and negative impact on the first model (tax based) and in the second model (based on government spending) a positive and significant effect on the total stock price index. This result is in line with Keynesian view. The financial friction index also had a negative effect on the total stock price index in both models. However, since taxation directly affects corporate liquidity, therefore, in fiscal policy based on tax revenues, the effect of fiscal friction on the dependent variable was more dependent on government spending than fiscal policy. The results of estimating the other variables in the models were that GDP based on Keynesian theory, oil revenues based on support theory and exchange rate in flow-oriented models had a significant and positive effect on the total stock price index.

The aim is to examine the appropriate means of financing Iran's tourism industry, focusing on capital market capacities. This research is an interpretation and paradigm of pragmatism and its mixed approach. For the initial investigation, the qualitative study, which includes documentary methods and interviews with experts, continued until the saturation of information was reached, then the structured Delphi questionnaire was used three times to confirm the initial patterns, and secondary focus interviews were conducted again in the form of seven group sessions. At the end, using the triangulation method; Quantitative and qualitative results have been compared and concluded. Based on this; Issuance of Manfa’ah Sukuk based on the major assignment of the right to use tourism services in the future with the option to sell (BTL and BOT contract formats during the period of operation), Manfa’ah Sukuk based on the interests of durable tourism assets along with purchase and put options (BTL and BOT contract formats) ,BOT during operation Intifah suck based on the future benefits of certain non-existent assets (BTL and BOT contract formats during operation and O&M), debt purchasing Sukuk (BTL contract format during operation, originator: contract party), special Mudraraba Sukuk (handicraft export) and some changes in laws and regulations were presented.

The purpose of this study was to investigate the possibility of using principal component analysis method as a tool for data reduction of the proxies of stock liquidity in Tehran Stock Exchange (TSE). First, the initial set of proxies of stock liquidity (8 variables) was identified and after the initial validation tests, the method was implemented at 2 levels: 1) all companies and 2) companies with much data. According to the obtained results, applicability of using this method to reduce the initial set of variables was concluded. The results showed that in both levels of analysis, the method could be used successfully for data reduction of liquidity proxies. Depending on the purpose of different researches, the initial set of liquidity proxies could be appropriately reduced by extracting 2 or 3 main components, while explaining the acceptable part of the total data variance.

Financial stability is one of the important topics that has been increasingly paid attention to by policymakers in the last two decades. Controlling and improving financial stability requires its measurement. Based on this, the aim of the current research is to "design a model for measuring financial stability in Iran's financial system". In terms of developmental-applicative goal and in terms of asset methodology, it is a quantitative approach, of survey-Delphi type, which was done in two stages of literature content analysis and Delphi. The indexing approach of this research is the construction of composite indices (CCI), which was done in three stages. In the first stage, using the content analysis technique, the extracted components and indicators have been used to finalize the measurement and weighting model using the Delphi technique. The statistical population of the research includes experts and elites in the field of banking, 14 people were selected as a Delphi expert panel using the purposeful-judgemental sampling method, and a consensus was reached in two Delphi rounds. The findings showed that the financial stability measurement model has five dimensions (institutional quality, banking health, macro economy, capital market and financial fragility), and 21 components. Institutional quality and banking health are the most important dimensions among the dimensions examined.