درخت حوزه‌های تخصصی

The purpose of this study is to examine the factors affecting the transparency of financial information by the experts and their understanding of the factors influencing financial transparency. The research methodology is based on qualitative approach and has been done with cognitive mapping technique. The basis of this qualitative analysis is experience, knowledge and expertise of 15 experts and professors of the universities of Mashhad which is conducted with a semi-structured interview. Using structural analysis method, at first 44 factors were identified .In the screening stage, experts had the most consensus among the five factors. And in the last step, the experts compared these five factors in the binary matrix of interaction and from 0 to 3 were valued. Then the MIC_MAC software extracted the cognitive map and its graph and the results were analyzed. The result of this study showed that the company's characteristics, including size of company, ownership, board of directors, financial ratios, profitability, and audit quality of the company have the most impact on information transparency.

The existence of bubbles in the market, especially the capital market, can be a factor in preventing the participation of investors in the capital market process and the correct allocation of financial resources for the economic development of the country. On the other hand, due to the goal of investors in achieving a portfolio of high returns with the least amount of risk, the need to pay attention to these markets increases. In this research, with the aim of maximizing return and minimizing investment risk, an attempt has been made to form an optimal portfolio in conditions where the capital market has a price bubble. According to the purpose, the research is of applied type, and in terms of data, quantitative and post-event, and in terms of type of analysis, it is of descriptive-correlation type. In order to identify the months with bubbles in the period from 2015 to 2021 in the Tehran Stock Exchange market, sequence tests and skewness and kurtosis tests were used. After identifying periods with bubbles, the meta-heuristic algorithms were used to optimize the portfolio. The results indicate the identification of 14 periods with price bubbles in the period under study. Also, in portfolio optimization, selected stock portfolios with maximum returns and minimum risk are formed. This research will be a guide for investors in identifying bubble courses and how to form an optimal portfolio in these conditions.

EXTENDED ABSTRACTINTRODUCTION Human Development Index is a composite one to measure three criteria of longevity, access to knowledge and appropriate level of welfare. Since 2011, education, the combination of mean study years for adults (25 years of age and elder) and expected years of studying, life expectancy and income per capita have been considered as components of Human Development Index. Human Development Index is in fact the geometrical mean of these three indexes. This index is annually calculated for countries by the United Nations but not for their states, provinces, cities and regions. Therefore, researchers themselves must calculate this index for provinces for certain purposes. METHODOLOGYLack of such statistics is also a statistic deficit in Iran that has made regional and provincial researches limited and inaccurate. To remove this deficit in this research Khouzestan Human Development Indexes in the years 1996, 2006, 2011 and 2016 have been calculated using the latest formula. It needs to be mentioned that the simulation of Human Development Index is difficult and time consuming. Not paying attention to details can deviate the index. So in order to ensure the precision of calculations, the Human Development of the country has also been calculated and compared with the same index calculated by the United Nations for Iran in order to ensure the authenticity of Human Development Index in Khouzestan. The applied method was a simultaneous behavioral pattern which considers the changes in Human Development Index through components of the United Nations Human Development Index and also simultaneously predicts and includes it in Human Development Index. The estimation method is based on Stock and Watson (1993) Dynamic least squared method that is helpful for predicting variables. FINDINGSAccording to results, Khouzestan Human Development Index for the period 1990-2019 can be simulated. The related results are presented in table 1. Table 1. Simulation of Khuzestan Human Development IndexFor further investigation of the results of simulation with real data, the results of calculating simulation assessment criteria have been shown in table 2. The results verify the validity of simulation. Table 2. prediction error criteriaAs table 10 shows, Khouzestan Human Development Index had a slow rising trend up until 2005 but from 2006, there seems to be a jump or structural failure in Human Development Index. However, during 2016-2018 the trend reached a plateau and it seems to have reached its stabilized level. Also, based on this simulation Khouzestsan Human Development Index was in an average level up until 2008 but since 2009 it has reached its high. CONCLUSIONTo assess this hypothesis, in this research using the new formula Khouzestan Human Development Indexes for the years 1996, 2006, 2011 and 2016 were calculated. The results showed that the indexes of life expectancy and education in Khouzestan were in a worse situation than that of the country but the index of income (taking oil into account) was more than that of the country. The calculation of Khouzestan Human Development Index without oil showed a worse situation than that of the country.Based on results, Kouzestan Human Development Index reached from an average level in 1996 to a high level during 2006 to 2016. This is an acceptable growth. Also, Khouzestan Human Development Index without oil is lower than that of the national index and this represents the worse status of the province compared to the country.The results of simulating Human Development Index show that up until 1389, there was a slight rising trend but from this year on there has been a jump or failure. Moreover, Khouzestan Human Development Index was in an average level up to 1385 but it has reached a high one since 2010.

عدم تشخیص حباب های قیمت دارایی و نوع آن (یگانه و چندگانه) موجب اثرات مخربی بر اقتصاد می شود. ابزارهای اقتصادی جدید، نه تنها تحلیل رفتار انفجاری ملایم حباب را ممکن گردانیده؛ بلکه تعیین تاریخ شروع و خاتمه آنها را نیز مهیا کرده است. هدف مطالعه حاضر کشف حباب های قیمت بورس اوراق بهادار تهران و شرکت فرابورس ایران و تعیین تاریخ های شروع، انفجار و محو کامل حباب در دوره 01/1389 تا 01/1395 است. در این راستا از شاخص کل، شاخص صنعت، شاخص50 شرکت و شاخص کل فرابورس استفاده شد. نتایج تحقیق نشان دهنده آن است که بازار بورس 2 دوره حبابی و فرابورس 5 دوره حبابی را تجربه کرده اند. نتایج همچنین نشان دهنده این است که بازارهای بورس و فرابورس به ترتیب در 59% و 57% بازه مورد مطالعه حبابی بوده اند. به عبارت دیگر در بیش از نیمی از دوره مورد بررسی، حباب وجود داشته که بیانگر بی ثباتی زیاد قیمت های سهام است.