درخت حوزه‌های تخصصی

Improving return forecasting is very important for both investors and researchers in financial markets. In this study we try to aim this object by two new methods. First, instead of using traditional variable, gold prices have been used as predictor and compare the results with Goyal's variables. Second, unlike previous researches new machine learning algorithm called Deep learning (DP) has been used to improve return forecasting and then compare the results with historical average methods as bench mark model and use Diebold and Mariano’s and West’s statistic (DMW) for statistical evaluation. Results indicate that the applied DP model has higher accuracy compared to historical average model. It also indicates that out of sample prediction improvement does not always depend on high input variables numbers. On the other hand when using gold price as input variables, it is possible to improve this forecasting capability. Result also indicate that gold price has better accuracy than Goyal's variable to predicting out of sample return.

Behavioral financial knowledge deals with the behavior of investors and other users in the capital market. According to the financial knowledge, it is no longer expected that only factors such as accounting information and macroeconomic variables will affect decision-making but also a variety of behavioral variables including manager’s optimism, information influence management, patience of major shareholders and other investors' biases can have an impact on the prices and stock returns. The purpose of this study was to investigate the impact of managers' optimism on the relationship between the patience of major shareholder and information influence management. This study attempts to investigate the relationship between these behaviors and information influence management by measuring the degree of major shareholders patience and managers’ optimism. This is a descriptive post-event research. The study population consisted of the companies listed on Tehran Stock Exchange (n = 87) between the years 2008 and 2017. Multivariate regression was used to test the hypotheses. The findings showed no significant relationship between the major shareholders patience and the information influence management (high, low, balanced). Further, it was found that managers’ optimism has a significant effect on the relationship between the major shareholders' patience and the information influence management (balanced level) and no significant relationship was observed between two other levels.

The objective of the present study is to provide a strategic entrepreneurial marketing model in the construction industry in the construction companies of the north of the country using the Grounded theory. The present study is a qualitative research which uses Grounded theory by focusing on deep and semi-structured interview and providing an entrepreneurial strategic marketing strategy. In this study, 30 interviews were conducted on university and construction industry experts in construction companies of the north of the country to reach a consensus that was carried out using snowball sampling. Data were analyzed by open, axial and selective coding and the case studies were presented. In the current study, instead of testing the theory and confirming or rejecting it, it was presented limited to reality. The collected data were analyzed using Nvivo software and the components were identified. The results indicated that the causal conditions affecting strategic entrepreneurial marketing include communication capabilities, organizational capability, organizational strategy, management support and organization and organizational systems. The intervening condition include relationship orientation, environmental capability, and corporate governance, and ground conditions include system thinking, application of technology and organizational culture. Furthermore, the proposed strategies include intellectual capital management, strategic alignment and knowledge elevation to improve strategic and tactical performance of the company as a result of strategic entrepreneurial marketing.

The present study is conducted to identify the components of the establishment of an ethical marketing system based on the Islamic-Iranian approach with emphasis on the food industry.In terms of its purpose it is a descriptive analytic type, and collects statistical data using a library methodology for research literature and Delphi method based on an expert opinion survey. In order to achieve the purpose, through an applied approach and through a survey method, a researcher-made questionnaire. Then, through the Delphi technique, which is a reliance on thought and use of expert knowledge and views and after three stages, the agreement and consensus of the Delphi group have reported on the components for the establishment of the ethical marketing system based on Islamic-Iranian approach. In order to consider the scientific and technical aspects, 30 experts in marketing system (marketing professors and experts in food industry marketing) were determined. Data analysis has been done with a mixed approach based on deep and structured studies and through content analysis. The results showed that social norms, organizational norms, green norms, individual norms, 4 ps norms and religious norms are among the requirements of establishing an ethical marketing system based on the Islamic-Iranian approach with emphasis on food industry. Standards and ethics in marketing approach is one of the most pressing issues for the review of the development and prosperity of Islamic countries. Adherence to such ethical practices can help to elevate the standards of behavior and thus of living, of traders and consumers alike. Selected key marketing issues are examined from an Islamic perspective which, it is argued, if adhered to, can help to create a value-loaded global ethical marketing framework for MNCs in general, and establish harmony and meaningful cooperation between international marketers and Muslim target markets in particular.

The purpose of this research was to provide a "Structural Equations Modeling Template" for the role of Human resources (HR) strategies on occupational performance development of colligate personnel. The current study is an applied research in terms of purpose, and a descriptive-analytical sample in terms of research method. The statistical population of this research included all employees Islamic Azad University of Shiraz Branch. The sampling method was "Random Classification". The standard questionnaire was used for data collection. By applying SMART PLS software, the research hypothesizes were made based on structural equations modeling & factor analysis .Findings showed that, there is a positive and significant relation between human resources development strategies and occupational performance of employees. Meanwhile, the HR development strategy, and employees' recruitment strategy have the greatest and the least impact on employees' occupational performance, respectively. The research findings showed importance of human resources strategies in evaluating occupational performance of employees. Therefore, HR strategies should be considered in Islamic Azad university of Shiraz.

The effective role of capital in every country flows through giving guidelines for capital and resources, generalizing companies and sharing development projects with public, and also adding accredited companies stock market requires appropriate decision making for shareholders and investors who are willing to buy shares based on price mechanism. Forecasting stock price has always been a challenging task, since it is affected by many economic and non-economic factors and variables; therefore, selecting the best and the most efficient forecasting model is tough and essential. Up to now applying weighted mean called weighted mean price has been used to forecast industry average price for companies in the stock market and investors were forecasting based on this method. First we have identified 10 accredited banks in TSE and 10 banks in Iran Fara Bourse. In this article, by applying one of the mathematical optimizing techniques, industry means got calculated based on optimized parameters and compared with the industry average; in this statement we strived to find another variable that could forecast with less deviation.  In the following study, by calculating frequency level of deviations, average for price forecasting in banking industry during five years is examined. Finally, the research suggests that, instead of using mean of industry average, it is better to use mean average of golden number, which will lead us to more accurate results.

In recent years, a significant factor for success of service industry is the rate of meeting customers’ expectation and after service recovery satisfaction especially in banking system. The aim of this study is to fill the existing gaps in the marketing literature by providing a comprehensive model to examine the impacts of perceived justice on secondary satisfaction through the mediating role of positive and negative emotions. Further, this study is an attempt to explore the factors which have effects on post recovery satisfaction based on the perceived justice theory in Iranian banking system. The total numbers of respondents were 384 customers of bank who had experienced at least one time service failure. The hypotheses of this research were tested and analyzed by structural equation modeling and LISREL and PLS software. The findings suggest that the increase of distributive justice, procedural justice and interactional justice enhances post-recovery satisfaction as well as increases positive emotions and decreases negative ones. In addition, as well as positive emotions raises, the secondary satisfaction will grow while increase of negative emotions will result in reduction of secondary satisfaction.

The present study was performed to investigate the effect of commercial and operational factors on competitiveness improvement of Shahid Beheshti Port (SBP) in Chabahar in attracting shipping lines. The research method is applied in terms of purpose. Initially, the researcher conducted the qualitative phase to identify important variables, create a typology, or make new theories. To reach the saturation stage, 15 people were interviewed. Then, after identifying emerging classifications using qualitative data, a questionnaire was developed through the Delphi technique, and thus, the quantitative phase began. To test its items, patterning of the structural equation model was used via Lisrel software. Findings showed that commercial factors affecting SBP competitiveness improvement included financial capital and customer capital, port costs and tax burden, market efficiency and market performance. In addition, technical-developmental infrastructures, technological infrastructures, warehousing activities, loading and unloading operations, customs activities and services, communication and distribution networks, trust and safety in port activities, and port logistics features were the operational factors affecting this competitiveness. It was discovered that existence of abundant capacities and potentials in various transportation departments of SBP, quantitative and qualitative increase of equipment, as well as the development of new capacities in infrastructure and fleet of railways, roads, offshore and port loading/unloading equipment have relatively improved levels of loading/unloading in SBP, which can be attributed to successful execution of measures taken to develop competitiveness in SBP.

The purpose of this study was to investigate the role of non-financial information analysis and risk-return analysis along with financial information in increasing the selected banks and financial institutions of Tehran Stock Exchange portfolio efficiency. To evaluate the efficiency of the portfolio, the Treynor's ratio was used and attempted to determine the Treynor's ratio of the selected optimal portfolio based on each accounting and financial information, non-financial information and risk-return analysis, and then the significant differences between the ratios were compared. also, intellectual capital, agency theory and management ability data were used as non-financial information. The 9 optimized Portfolio that were selected by any one or more of the data from financial, non-financial, and risk-return analysis and calculated Treynor's ratio for each select were used. To achieve the goal of the research, 19 banks and financial institution of Tehran stock exchange were selected as sample and analyzed. The results showed that the use of non-financial and risk-return analysis information will increase the calculated efficiency of banks portfolio using the Treynor's ratio. All of hypotheses were approved, this means that there is significant difference between mean Treynor's ratio of stock combination based on risk-return information and accounting information, agency theory, management ability and accounting information and intellectual capital.

The purpose of this research was to explain the relationship between the personality of brands with risk aversion and customer loyalty. This research was applied in terms of purpose, descriptive correlation one in terms of information gathering and based on structural equation modeling. The statistical population consisted of all customers with credible brands (5 famous and high-income brands such as Adidas, Nike, Puma, Al-Sport, and Asx) in East Azarbaijan province. With regard to the unlimited statistical population, 384 people were selected as the statistical sample based on Morgan's table. The brand personality standard questionnaire (Jones et al., 2009), Customer loyalty Anismawa (2007), and a researcher-made risk aversion questionnaire were used to collect data. The validity of the questionnaires, in addition to the supervisor's approval, was confirmed by 10 supervised faculty members and the reliability of the questionnaire was 0.849, 0.867 and 0.957, respectively, using the Cronbach's alpha coefficient. The validity of the questionnaire structure was also confirmed by factor analysis. Data were analyzed using SPSS and Amos software. The results of structural equations showed that the brand personality has a direct and positive effect on risk aversion (factor = 0.359), attitudinal loyalty (factor = 0.575), behavioral loyalty of customers (factor = 0.548). Also, the model's indices show the fitness of the research communication model.