درخت حوزه‌های تخصصی

The occurrence of unexpected phenomena in recent decades in financial markets around the world,led to the development of theories,beyond the defined principles and criteria of classic finance.These theories are based on financial psychology and they are explaining the role of psychology in financial sciences as an influential factor and became irreplaceable in financial markets and investor decisions.One of the important theories in this field is the bounded-rationality-theory,which can explain the behavior of decision-makers about financial and economical issues based on defined theoretical frameworks and assumptions.This study developed the stock pricing model by comparing the predicted stock price based on the bounded-rationality-theory and the real stock price through collecting the data of 122 companies listed on the Tehran Stock Exchange during the period 2011to 2019.The results of this study show the effectiveness of the bounded-rationality-theory based on the separation of stock return components and measuring the irrationality coefficient and emotional reactions of investors' decisions in stock prices.Accordingly,the limitations of investors 'ability to process information seem to affect the level of use of reasoning and rationality in decision-making and the effect of bounded-rationality through the irrationality and limited attention on stock pricing.Therefore,it is expected that knowledge about the process of bounded-rationality based on the rational-bounded of investors and the behavioral biases resulting from the irrational part of their thinking,will provide a good explanation for the process of changes in financial markets.This can provide both profit opportunities and costs in investment management so that it can be used in modeling,analysis and investment strategies.

The increasing progress of technology has affected all aspects of human life. One of the new technologies for which various applications have been created today is virtual reality technology. Virtual reality seeks to create a sense of reality in an unreal environment. The aim of this research is the effect of virtual reality technology on the creation of customers' attitudes and understanding of property and service providers in the real estate consultant department in Shiraz. The statistical population includes all real estate clients and those who refer to the real estate sector in Shiraz, and since the population is considered, it is unlimited; The number of statistical sample is 384 people. In this research, the standard questionnair of Players and Ponsin (2020) were used to collect research data. Structural equation modeling approach and PLS3 software were used for data analysis. The results showed that virtual reality technology has a significant effect on creating the attitude and understanding of customers towards the property and the service provider in the real estate consultant sector. The combination of virtual reality technology with augmented reality is one of the measures that can significantly improve the attractiveness and efficiency of using virtual reality in the field of real estate.

This study is a structural equation modeling study. It has investigated the effect of literary tourism during the Covid-19 virus pandemic on tourists' behavioral goals through the attitude of mental norms. The present study is a one-section survey. The statistical population of this study includes all tourists who visited the cultural and spiritual sites of Shiraz, like Hafez and Saadi tombs. Literary tourism is a concept that praises the culture and heritage of a destination. The concept is to go to locations worldwide highlighted in some non/fictional novels. They can fascinate new tourists, increase the number of domestic travelers, and promote tourism destinations. Because the sample size is unknown through Cochran's formula with a 95% confidence level, 384 people were selected by the available sampling method. They answered the questionnaire about the effect of literary tourism during the Covid-19 virus pandemic on tourists' behavioral goals. The collected data were analyzed by using Amos software and SPSS. Confirmatory factor analysis, the reliability and validity of the contract measurement model, Cronbach's alpha results (above 0.7), and composite reliability (greater than 0.7) for the reliability and mean of the extracted variance (greater than 0.5) were confirmed. The structural equation model was used to test research hypotheses and the relationships between research variables (spiritual factors, behavioral purpose). The results showed that spiritual variables, in general, have a positive effect on the behavioral goal of tourists through the attitude of tourists' mental norms. This attitude was also recognized as a significant mediator between spiritual perception and behavioral goals. The findings of this study indicate that literary tourism has a positive, significant effect on increasing re-visit tourism destinations through attitude, mental norms, and perceived behavioral control.

This study focuses on providing an intelligent credit risk management system of the bank in the presence of the macroeconomic indicators using a combined methodology of econometrics and artificial intelligence. In addition to the use of scientific documents and reports, the panel data related to the annual reports and datasets of stock exchange banks are analyzed by using the MATLAB programming environment. One of the most important results of the this paper is that the proposed approach has been based on the calculations made with the GARCH economic model in which the input values of the component "Inflation rate factor (A4)” have a weight of 0.943734 (equivalent to the membership function "High H"); the component "rate factor Bank deposit (B4)” has a weight of 0.959346 (equivalent to the "High H" membership function); the component “Unemployment rate factor (A3)” has a weight of 0.990343 (equivalent to the "High H" membership function); the component "Exchange Rate Factor (B2)" has a weight of 0.990413 (equivalent to the membership function "High H"); And the component "GDP growth rate factor (A1)” has a weight of 0.959256 (equivalent to the membership function of "high H"); This means that, 5.46 is within a range of 6, i.e. the target variable is exactly in the 91st position (the fifth level of the system output is excellent).