فصلنامه دانش سرمایه گذاری
پیاپی 36 (زمستان 1399)

The purpose of this study was to determine the relationship between cultural strategic management with the seven components of innovation economics based on the theory of Davenport.The research is applied in terms of purpose and in terms of data type is quantitative. The statistical population consisted of all the experts and professors in the field of cultural management and economic sciences of the universities of Tehran. 34 members of the community were chosen as a sample of the research purposefully. In the present study, the library and field method has been used to collect information. The data collection method was a researcher-made questionnaire. For determining the validity of the questionnaire, formal validity, content and structure have been used. To measure the reliability of the instruments, the questionnaire after the distribution of the test was measured through Cronbach's alpha, which was 0.83. After assuring the normality of the data, Pearson's correlation coefficient was answered to the research questions. The results of the research show that the content-based organizing component with the coefficient of 0.86 has the highest correlation with strategic cultural management. Then, the component of many choices is 0.80, the maximum outsourcing is 0.79, the market infrastructure is 0.74, the focus is on intangible resources with a coefficient of 0.70, increasing synergy with a coefficient of 0.69, and the provision of alternative services based on customer needs with a coefficient of 0.67.

The present study aims to investigate effective factors on productivity through analytical approach and using AHP method, fuzzy approach and econometric analysis. Paper Analyses the effect of investment and industrial labor productivity on the total factor productivity in this sector (at macro level) with the panel data approach, and it examines the individual productivity indicators of the industrial labor by analyzing the responses of 130 employees of the company National Distribution of Iranian Oil Products in Tehran Region as a Case Study at Micro Level (Using AHP and Fuzzy Method). The result show that: The indicators of physical and human investment, R & D and real exchange rate are factors influencing the total productivity of the factors of production in the industry; among other things, the R & D index, as compared to other indicators, has a longer-term impact on total factor productivity In addition, direct impact of physical investment in the industrial sector in Iran, is the concept of a faster evaporation of the variable on productivity, even in the short term. Also, the effectiveness of individual labor productivity index on total factors productivity emphasize on factors affecting on the productivity of individual labor, and shows that monthly salary indices, reward system, education, promotion of job satisfaction and system Meritocracy (from the perspective of employees), respectively, has the greatest effect on the productivity of industrial labor and consequently, the total efficiency of the production factors of this sector. .

The purpose of this research is investigation the relationship between conservatism and new investment; In addition, this research assessed the impact of investment inefficiency on the relationship between conservatism and new investment. Conservatism is measured based on the pattern presented by Givoly and Hayn (2000). Also, over investment is considered as a proxy of investment inefficiency which is measured based on the model proposed by Biddle et al (2009). So, research population includes 216 firms listed in Tehran Securities & Exchange over the period 2012-2017 which selected through filtering method. The hypotheses analyzed through multivariable regression models based on panel data and fixed effect method. The results showed that conservatism had significant and negative impact on new investment. Also, over investment as a proxy of investment inefficiency had significant and positive impact on new investment. However, conservatism had no significant impact on the relationship between prior over investment and new investment.

Capital asset pricing model is an equilibrium model to show the relationship between systematic risk and return of capital assets and indicate the pricing of assets due to their systematic risk. Abundance of empirical studies in testing standard and developed CAPM shows the importance of CAPM in estimating the price of financial assets. The meta-analytic approach of this paper creates a distinct realization to this context of finance by using of variance analysis, correlation test and means difference. So we use the statistical results of 418 CAPM tests during 1972 to 2016. The results show that time period of the test, type of portfolio ranking, country development grade, type of systematic risk and the type of CAPM test have a significant effect on the price of beta.

The purpose of this study is design of Intelligent System with using of artificial intelligence techniques to discover and classified the pivot price. The pivot price is a point of price that changes the stock price trend. Use of gann-square and candlestick patterns In this research with other variables. The number of data firm used in this study is related to Insurance Industry and Pension Fund during five years from September 2012 to September 2017. Pivot price is recognized with ZigZag indicator and coded in SQLServer. The result of the research indicates the high ability of the system designed to discover and classify pivot price with a focus on the gann-square and candlestick patterns. the significance of the variables gann-square and candlestick patterns in correct classify pivot price was grater than of other variabls. Finally, the future researchers can use new approaches to analysis, including the concept of canslim and commodity markets for discovery of price pivot.

Previous research has shown that the high disclosure of corporate financial information can increase the efficiency of the investment. In addition, the mechanism of financial information disclosure and investment efficiency is a kind of reduction of information asymmetry that prevents investment efficiency. Unlike financial information, which is mainly about the past performance of companies, non-financial information, in particular forward-looking non-financial information (FNFI), is about the future development of the company, which can provide information that is more relevant for decision makers. Therefore, the FNFI can reduce information asymmetry between companies and external sources of funding. The purpose of this study was to investigate the effect of forward-looking non-financial information on corporate investment efficiency & financing constraint in listed companies on Tehran Stock Exchange. To this porpuse, a sample of 150 companies during 2010-2016 was selected by systematic elimination sampling. The research method is library and correlation. Forward-looking non-financial information the study consists of seven non-financial indicators and the relationship between research variables by the regression model presented by Tan and Liu (2017) with the pooled data approach have been used. The results show that forward-looking non-financial information can reduce financing constraints and high disclosure quality will intensify the relationship between these two variables. Forward-looking non-financial information can also reduce the inefficiency of investment, and the high disclosure quality will intensify the relationship between these two variables, then alleviate the underinvestment effectively and meanwhile leavelittle opportunity for overinvestment.

The main purpose of this research was designing a model of financial recisions of micro and macro financial participations of financial system to explain of the development financial mrkets in Iran. This research was conducted as descriptive - survey and also from of the target perspective was the kind of applied research. Therefore, in order to achieve this goal, firstly, based on the study and existing literature review, the independent research variables, that's mean, the mix financial decisions making of government (MDFG), the mix financial decision making of corporation (MDFC), the mix financial decision making of household (MDFH), were introduced as an explanatory factor for the development of financial markets (dependent variables). Then, by using of the Krejci & Morgan method, was determined the 384 person as statistic sample, and the gathering the research data from of the questionnaires that distributed in among of this sample. Moreover, to analyze of the data and estimating empirical modeling of research has been used to structural equation model (SEM). The findings of this research show that each of the mix financial decisions making of government (MDFG), the mix financial decision making of corporation (MDFC), the mix financial decision making of household (MDFH), was a significant effect on the development of financial markets in Iran.

The main purpose of this research is to use the Factor Analysis-Taxonomy method to select the best stock from listed companies in Tehran Stock Exchange. Portfolio Selection is one of the most important issues in the field of finance and there are some models for optimal selection. One of the problems of the presented models is to ignore the multiple indexes and dimensions, and to not identify the reasons for the rejection or acceptance of a company in the selection of stocks. In this research, to solve these shortcomings, a taxonomy method, which is a multi-criteria decision-making method, is used. The results showed that 6% of the selected companies, the first priority shares, 68% of the shares with the second priority and 16% of the shares with the third priority and ultimately 10% of the shares with the fourth priority are considered. Finally, the analysis of the findings showed that the stocks with the higher priorities presented by the model only in some years had better performance.

The performance evaluation of optimal portfolio selection as an important matter for all investors involves creating portfolios that maximize investor utility. Determining an appropriate approach to performance evaluation of portfolio efficiency is one of the most important current issues in the field of investment management. Several portfolio assessment techniques have always been concerned by researchers and financial analysts. Therefore, in selecting the evaluation criteria, one cannot select an investment project solely on the basis of its high returns. Portfolio performance evaluation models presented by focusing upon both risk and return are not based on the fundamental approach to financial elements. Therefore, this study addresses the portfolio performance assessment based on a mixed (economic-accounting) approach and using data envelopment analysis (DEA) as the multipurpose modeling. The results show that the accounting approach is more efficient than the economic approach and the combined approach.

Over the last few years, holding companies have had an increasing impact on the country's capital market, due to their high growth in stock exchanges, both in terms of number and size of capital And diversification is one of the key strategies that hiding companies have been focusing on to increase efficiency and to stay safe from risks; However, the researchers do not agree on this issue. To this end, by using the statistical data of 51 holding companies in the Tehran Stock Exchange (TSE) during 2011-2017, the impact of portfolio diversification on performance based on modern and modernized theories of portfolios investigated. For this purpose, firstly, the variables of the study were examined in terms of their status, Then the least squares method was used for analyzing data and (GMM) and generalized generalized (EGLS) torque (EGLS) for estimating hypotheses.The findings show that diversification in holding companies on performance criteria is based on modern theories and based on modernist theories of portfolios (Jensen, Sharp, Triner, Sortino, Desirability Potential, Omega and Trener, and Jensen Adjustment) has a positive and significant effect.

The purpose of this study was to determine the effect of effective strategies on financial performance in chemical, rubber and plastic manufacturing companies in comparison with the total companies accepted in Tehran Stock Exchange. In this regard, financial strategies are considered including investment strategies, working capital, financing and profit sharing, and the variable of financial performance is measured by ROA, ROE and Q_TOBIN. The sample includes 124 companies listed in Tehran Stock Exchange during the period of 1386-1395. The number of chemical, rubber and plastic companies is 11 companies. To test the hypotheses, regression analysis of combined data has been used. The results showed that between working capital strategies, external financing with ROA; between internal financing strategy with ROE; between investment strategies, working capital, internal financing, and Q_TOBIN, the meaningful relationship of existence has it. Also, in chemical, rubber and plastic companies, between investment strategies, working capital, profit sharing with ROA; between investment strategies, working capital, profit sharing with ROE; between capital strategies There is a meaningful relationship with Q_TOBIN.

Stock return is one of the basic concepts in the corporate finance paradigm that has several applications in corporate finance, one of these applications is the role of stock return in motivating investors to invest in corporate stocks. In this research the explanatory power of stock returns by Fama & French three-factor model and five factor model and comparison of these two models in explanatory and predictive power Stock returns of companies listed on the Tehran Stock Exchange during the period 2012-2019 were examined. This research in class of the field study and using techniques of panel data with fixed effects model and the generalized least squares method including the 2960 observations (Company / season) is done. According to the findings, explaining power of stock returns of companies listed on the Tehran Stock Exchange by the five-factor model of Fama & French is more than compared with three-factor model of Fama & French. Key words: Stock returns, Equity risk premium, Three-factor model of Fama & French, Five-factor model of Fama & French.

The necessity of research on predicting investment returns and presenting effective models of its explaining and compare the most efficient ones, affects both the expansion of investment in the financial market and the creation of more confident conditions for decision making and portfolio formation. Experimental testing of some models has shown that investment options are measurable as a way to create more options as one of the most common types of real options based on investment options and can be effective in explaining stock returns. The purpose of study is to explain the factors affecting equity returns using the investment options approach. The information from this study is taken from the financial statements of 146 companies during the period 1390-1397. The research is applied in terms of purpose; in terms of nature and content it is a correlation type. Multiple regression based on panel data analysis was used to test the relationship between variables and the significance of the model. The results of the hypotheses test showed that investment options based on Grullon's four-factor model affect stock returns and firms with more aggregated investment options based on Grullon's model have higher stock returns. In addition, the results showed that there is a significant difference between the explanatory power of Fama and French's five-factor asset pricing model and the investment options model based on Grullon's model in explaining stock returns. And the explanatory power of the Grullon's model in explaining stock returns is more than the Fama and French five-factor model.

Researchers have been researching portfolio optimization issues for several years. One of the main issues is to determine the optimization method, which is to form an optimal investment portfolio, ie to minimize investment risk and maximize investment profit. The aim of this study is to investigate the strategic capability of network matrix and fuzzy genetic neural model (ANFIS) in optimizing the investment portfolio among companies on the Tehran Stock Exchange. Grouping stocks by network matrix based on new variables including aggressive, indifferent and defensive stocks provided by Roodpashti (2009) and traditional variables including growth, growth-value and value stocks and classification of companies based on their market value and use. From the law of quarters and finally their weighting is considered in proportion to the return of that share. The design and presentation of a stock portfolio optimization model using adaptive fuzzy neural inference system and its combination with genetic algorithm (ANFIS) in which two different categories of technical and fundamental variables are used as model inputs. Research outputs show that these systems have the necessary ability to optimize the stock portfolio. Therefore, a combined model of neural networks and fuzzy reasoning theory with genetic algorithm has been used to weight the factors affecting stock portfolio optimization in the 7 years leading up to 1398.

Systemic risk has been considered as one of the new concepts in the field of finance since 2008 and this risk is more considered in the banking industry due to the close relationship between banks in their daily operations. Therefore, identifying the factors affecting this risk in the banking industry is the main purpose of this study. In this study, the relationship between macroeconomic indicators (interest rate, economic growth rate and inflation), risk (liquidity and default risk) and competitiveness (Herfindahl-Hirschman index and asset size) using banks' data from 2009 to date and with The GMM data panel method was tested. The results of modeling show that there is a significant and direct relationship between default risk index (credit) and systemic risk of the banking industry. Also, in all competition indicators, including Herfindahl-Hirschman index and the size of banks, there is a direct relationship, and in macroeconomic indicators, the relationship between interest rates and inflation with the systemic risk of banks is direct and significant.

Mutual funds are professional finance institutions which have invested in securities, by investors’ payments, while enjoying the professional management as well as decrease in non-systemic risk. On the other hand, investors require some approaches to evaluate the performance of mutual funds including, data envelopment analysis as a multi-purpose decision making method. Efficient and inefficient companies may be specified by this method, as well as a reference to achieve the efficiency limit for inefficient companies. This research aims to evaluate efficiency of mutual funds by the method of data envelopment analysis. The interval is begun from 2018 until the end of the spring of 2020 and all stock mutual funds form the statistical society. Also 35 mutual funds is a statistical sample. The results show meaningful correlation between obtained efficiency by the method of data envelopment analysis and the real output of mutual funds. So data envelopment analysis is a suitable method to evaluate efficiency of mutual funds. The results indicate that increase in total assets of mutual funds enhance their efficiency. But the age of mutual funds does not affect their efficiency.

The focus of this study is on the Iranian stock market financial market. In fact, the aim of this study is to investigate market modeling using entropy transfer matrix. Investing in the capital market and buying stocks of companies that have a lot of entropy is associated with a lot of risk, and due to the high risk and the possibility of bankruptcy, the principal and profit of capital may be lost. We received data on trading volume, disclosure quality, monthly index, corporate governance, and 12-month profit quality for 27 companies from the Iranian stock market and OPEC's monthly oil price, monthly inflation rate, ozone rate, and the price of an ounce of gold between 2009 and 2017. The special importance of the capital market in the development of the economy is through the efficient management of capital and the optimal allocation of undeniable resources. Investing in the capital market requires a decision that requires information about the future state of the stock market price. After a series of drastic changes that have taken place in a row, the trend of data changes is moving towards negative. In other words, in a continuous cycle, the higher the degree of change, the closer the probability of approaching a state of stillness

The purpose of this study is to identify and evaluate the strategic and future drivers of education and research in the country's tax system with an economic approach. This research has been done with the approach of futures studies with Delphi-fuzzy method and analysis of matrix of interactions based on interviews with tax experts. Research method used from methodological perspective, survey research (field research); From the point of view of nature, it is descriptive-analytical and from the methodological point of view, it is based on the mixed method (a combination of quantitative and qualitative). After identifying the first 21 drivers in the stages of questioning, interviewing and fuzzy Delphi questionnaire, in order to finalize and evaluate the effective and future-making drives, all the identified drives are analyzed based on the fuzzy triangular mean and for analysis. Interactions between propellants Mick Mac software is used. Based on the results of the study, 7 propellants in the fuzzy Delphi stage were determined, which were again sent to experts to determine the analysis of cross-effects. The title of Strategic and Futuristic Propulsion was approved.

Investors want to be aware of the performance of investment companies. The more information available and the more skillful the use of available information, the more accurate the performance of the company will be.The purpose of this study is to analyze the relationship between risk criteria and performance with emphasis on the effective role of risk management in companies listed on the Tehran Stock Exchange. Therefore, the financial information of 132 companies between 1390 and 1397 was used as a statistical sample. In this research, the structure analysis method is used, which is a test of a special model of the relationship between variables, because this model is a comprehensive approach to test hypotheses about the relationships of observed and hidden variables. It has a significant effect and the effectiveness of risk management as an intervening variable modulates this relationship.

Stock market as a part of the capital market plays a very important role in directing savings to the manufacturing sector in all countries. Today, in the economy of many developing countries, the situation of macroeconomic variables is not consistent with the ascension of stock indices, and in fact the relationship between the economy and the stock has been discontinued. Today, in the economy of many developing countries, the situation of macroeconomic variables is not consistent with the increase in stock indices, and in fact the relationship between the economy and the stock has been discontinued. In the present study, for the prediction of price bubbles, the daily data of 144 companies in the Tehran Stock Center during the period of 1389 (1396) has been analyzed by the generalized autoregressive conditional heteroscedasticity (GARCH). Based on the results of the data analysis, member firms in the stock center in the years under consideration have been priced bubbles that were higher in the first six months of the year. The factors that triggered price bubbles include political shocks, returns in parallel bubbles, such as oil, currency and gold.

The aim of this study is to optimize stock portfolios by considering uncertain returns and the investment’s utility function in the Tehran Stock Exchange. For this purpose, a two-stage recursive algorithm and a utility function have been used. Securities are selected according to the list of 50 most active companies that was published by the Securities and Exchange Organization per season between the years 1390 to 1394. Considering the returns in this five-year period, the returns vector and covariance matrix are determined and after modeling the optimal portfolio is presented. The results show that the optimal portfolio includes: Iran Transfo (0.15), Eghtesad Novin Bank (0.1), Saipa (0.15), Ghadir Investment Company (0.15), Foolad Mobarakeh Esfahan (0.15), Mokhaberat Iran (0.15) and Meli Sanaye Mess Iran (0.15). The quality of the results is compared with real returns in the following year (1395). The results show the high accuracy of the algorithm.

After the financial crisis of 2007-2009, regulation and supervision of the financial sector have undergone extensive changes in different sizes and are stricter. Financial institutions that were not under surveillance until the financial crisis are now being supervised and regulated, and those under supervised have been required to comply with the rules and regulations. Regarding the important role of financial institutions in the capital market and the necessity of efficient and effective supervision on these institutions, the present paper tries to investigate the features, processes, dimensions and desired structures of financial institutions in capital market using comparative study of developed countries. the results show that most of the countries of the world are driven from the rule-based supervision pattern, which is mainly investigating the historical performance of financial institutions at a time of time and is based on transaction- to risk-based supervision pattern, focusing on continuous and process-based supervision. in this study, in addition to investigating the macro structure of world financial markets compared to iran, structure, dimensions, features and tools used in the risk- based supervision pattern are investigated. in addition, the results of adaptive study are presented in the comparison table and the proposed model with the aim of optimizing the existing structure of supervision of financial institutions in the capital market is presented as conceptual model at the end of the paper.