درخت حوزه‌های تخصصی

The present study was conducted aimed to identify the dimensions and components of cultural participation in universities (case study: Islamic Azad Universities of Hormozgan province). This study is a mixed exploratory research that in the qualitative section using the Thematic analysis technique and based on semi-structured interviews with 20 experts to identify the dimensions and components of students' cultural participation; also, also, in order to prioritize the dimensions and components of cultural participation, the OPA (Lingo software) technique was used based on the opinions of 7 experts. In the thematic analysis part, 51 basic themes, 12 organizing themes and 4 comprehensive themes were identified. Based on the results of OPA technique, the indicators of "quality of cultural programs, proper planning, how to implement cultural programs, motivational behavior pattern, attention to students' opinions, institutional trust, spirit of participation, security, social health, social communication and new communication media" They were ranked 1 to 12, respectively. Findings of this research can provide deep insight to senior decision makers and cultural managers and provide the basis for more cultural participation of researchers and students.

Stock prices are influenced by economic, technological, psychological and geopolitical factors. A review of the literature in this field shows that stochastic approaches, trend analysis and econometrics have been used to demonstrate stock market dynamics and price forecasting. However, these techniques cannot provide a comprehensive overview of market dynamics. Because they ignore the temporal relationship between these factors and are unable to understand their cumulative effects on prices. By integrating chaos theory and continuous data mining based on price acceleration, this study has eliminated these gaps by inventing a new price forecasting method called dynamic stock market recognition simulator and combining two methods: one is delay structures. Or gives time intervals to the data set, and the other is the method of selecting new variables for the market environment. The results showed that the method used can be used to predict the long-term stock price using a small data set with small dimensions.

This paper aims to investigate the portfolio optimization under various market risk conditions using copula dependence and extreme value approaches. According to the modern portfolio theory, diversifying investments in assets that are less correlated with one another allows investors to assume less risk. In many models, asset returns are assumed to follow a normal distribution. Consequently, the linear correlation coefficient explains the dependence between financial assets, and the Markowitz mean-variance optimization model is used to calculate efficient asset portfolios. In this regard, monthly data-driven information on the top 30 companies from 2011 to 2021 was the subject to consideration. In addition, extreme value theory was utilized to model the asset return distribution. Using Gumbel’s copula model, the dependence structure of returns has been analyzed. Distribution tails were modeled utilizing extreme value theory. If the weights of the investment portfolio are allocated according to Gumbel’s copula model, a risk of 2.8% should be considered to obtain a return of 3.2%, according to the obtained results.

It is well documented that using linear models to forecast plenty of financial observations due to their nonlinearity is not satisfactory. Therefore, in this paper, the technical analysis indicators are forecasted using Neural Network Auto-Regressive model with eXogenous inputs (NNARX). Then the effect of different factors (economic, systematic risk, company's properties and corporate governance) on their forecasting error (eRSI, eMA1, eMA2 and eMACD) was investigated. For this purpose, required data were collected using the removal sampling method for 323 companies listed on the Tehran Stock Exchange from 2014-2020. In addition, the mean absolute percentage error (MAPE) was applied to measure the error of forecasting technical analysis indicators. NNARX and dynamic panel data models (GMM) were used to study the effective factors on the error of forecasting technical analysis indicators. Results indicated that the error of forecasting technical analysis indicators is less than 0.1 and has sound accuracy. Also, the company's size and corporate governance indicators didn't significantly affect the error of forecasting technical analysis indicators. In addition, financial leverage doesn't significantly affect eRSI and eMACD but has a significant inverse effect on eMA1 and eMA2. On the other hand, return on assets has a significant inverse effect on eRSI, eMA1, eMA2 and eMACD. Also, economic recession and prosperity, inflation fluctuations, exchange rate fluctuations and systemic risk have a significant positive effect on eRSI, eMA1, eMA2 and eMACD.

Basically, the progressing society without the presence and existence of specialized work resources with strong tendencies towards ethics and professional principles in the work environment will not be able to achieve its lofty goals and experience development and growth in various economic, political and cultural sectors. Based on this, the current research aims to provide a model of professionalism in the system Iran administration was done. The current research is a qualitative research method. Research in terms of the result of the component It is developmental-applied research that the statistical population of this research is 25 elite people identified in the University of Medical Sciences They were from Shiraz, who were interviewed who had at least 10 years of experience and had a master's degree and a doctorate and the snowball sampling continued until the opinions of these experts reached the point of theoretical saturation and direction Conducting research after designing the general questions and formulating the interview process, conducting in-depth interviews with experts became. The data collected in this research were combined using thematic analysis technique. To review the validity of the research findings was presented to the participants and the text of the theory was studied by them and their points of view were applied at the end of this research, it was studied and reviewed by the professors, and some points were made to modify or change the final theory became. Reliability of data by showing the path of researchers' decisions and also placing all the raw data of the analysis done, the codes, categories, the process of studying the primary goals and questions were given to the academic professors and the desired corrections applied. In order to analyze the data, schematic analysis and data base theory were used. In the presented model, and social accountability as causal factors, organizational conditions as background factors, requirements and necessity environmental factors as intervening factors. In addition, with strategies such as creating open doors for dialogue Knowledge and convergence of actions with professionalism can lead to consequences such as social, financial and behavioral functional results Clients and employees found hands.