فصلنامه مطالعات تجربی حسابداری مالی
پیاپی 63 (پاییز 1398)

The financial contagion and the risk of overlapping portfolios arise from the interconnected relationships and interconnections between investment institutions and markets and can threaten the stability of the entire financial network. At first after presenting the model briefly, The comparison of the probability of contagion and the probability of the extent of contagion of two points at the end of the years 1394 and 1395 proves the reliability of the model; Nevertheless, due to the nature of the research in order to validating the model in the second part of the study, Monte Carlo simulation method has been used by statistical distribution of actual data. To do so, we first tried to diagnose and test the goodness of the distribution used in the variable of average degree of diversification and finally, the generalized Poisson-Lindley distribution was most closely related to actual data. Then in order to measure the stability of the financial contagion based on overlapping portfolio risk model using simulation of virtual data, we analyzed simulation thresholds in this study including different variables of diversification average degree of financial institutions, leverage, market impact, crowding and type of shocks. At the end of the study, the stability analysis of financial contagion based on overlapping portfolio risk model was presented based on the actual data simulation by examining the market impact parameter. Results refer to the fact that the capital market of Iran possess low probability for financial contagion based on overlapping portfolio risk.Jel Classification: C46, C63, G11, G17, G23

Because of the important part of the information required to be met through financial accounting and reporting systems, the existence of valid criteria to ensure the proper quality of financial reporting is one of the most important pillars of the public sector accountability system. The present research seeks to investigate the challenges of financial reporting quality in the public sector by using the Grounded Theory approach. A sampling of snowball from 27 experts (including professors and managers of executive agencies) was interviewed in 2018. The analysis of the interviews led to the identification of the categories. Each of these factors has sub-categories and concepts. The results of this research show that the categories of financial reporting quality in the public sector are the budget structure, public sector infrastructure, human resource quality, accounting system and accounting, education, and accountability system of the community as well-known underlying factors. Lack of qualified human resources, lack of academic professors and professional experts, low level of systemic-analytic thinking, change in politicians' attitudes and human resource resistance to innovations as inputs. Weaknesses in the implementation of accrual accounting, total failure to implement operational budgeting, political influence in the decision-making process, inaccessibility to the annual budget performance statement, and the lack of recognition of some items of financial statements as processes were identified. The consequence of the financial reporting quality in the public sector is the failure to achieve the public sector financial reporting goals, the lack of allocation of funds to public sector expenditures, the exacerbation of the budget deficit, the scarcity and inefficiency of public finance reporting, the increased loss of resources and the lack of accountability.

Given the high volume of insurance industry turnover, the role of the capital of insurance companies and their number in the stock exchange is very important. Since the investors' goal of investing in each company is to generate returns in line with their investment, if the company contributes to the creation of value, Success will benefit not only the homeowners of the company but also the wider community. The purpose of the present research is to evaluate the variables affecting the performance of insurance companies using the fuzzy ANP technique. The statistical population of this study includes all active members of insurance companies active in the stock exchange and OTC, as well as experts of Tehran Stock Exchange. In this research, we tried to select the majority of experts in the Insurance Organization and some of the managers of insurance companies, and the sample size is 35 people using the Cochran formula. After analyzing, using a specific fuzzy ANP technique Which ranked first in terms of capital productivity, then asset quality, liabilities, liquidity, management quality, market risk sensitivity, profitability, operational efficiency, and capital structure and capital adequacy

The Purpose of this research is investigating the usefulness of variables (dimension) reduction methods (selection and extraction) in stock returns of the companies listed on Tehran Stock Exchange (TSE). In this regard, through reviewing literature, 52 predictive features (variables) were specified as the initial features based on the popularity in the literature and the availability of the necessary data. By using variables selection (relief) and variables extraction (factor analysis) methods, optimal variables (factors) are selected or extracted from initial variables. Subsequently, the stock returns of 101 firms listed on TSE from 2004 to 2013 were predicted utilizing decision tree and linear regression. The experimental results confirmed the usefulness of variables (dimension) reduction methods in stock return prediction and better performance of relief (relative to factor analysis). Furthermore, the results indicated that decision tree outperforms the linear regression.

All financial institutions and banks have risks in their operations that have not been able to eliminate them, but there is the possibility of managing these risks. Therefore, financial institutions for continuity should be identify, control and reduce the risk of their life to do this, factors affecting various risks will be very useful. In many of the financial institutions framework for managing risks to consider. In this paper, we assume the existence of a significant relationship between financial risk and financial ratios that can be validity by examining past research and then using canonical correlation analysis model to evaluate and calculate the relationship between financial risks and financial ratios presented. Canonical correlation analysis is an extension of multiple correlation for the relationship between the two sets of variables. Canonical analysis, linear combination of variables that are highly correlated with the second set of variables is found. Three financial risks include liquidity risk, credit and market using certain financial ratios and indicators have been defined and are considered as independent variables. As well as financial ratios, liquidity, leverage and profitability are dependent variables .To calculate risk and financial ratios of the information contained in the financial statements and the balance sheets of 10 banks Between 88 to 93 were used. Finally, it appears that liquidity risks have the greatest impact on financial ratios. After calculations, it is determined that liquidity risks have the most effect on the liquidity, leverage and profitability rations of bank with the effect values of 0.697, 0.644 and 0.624, respectively

In firms with political connections, Related party transactions may be facilitate the goals of this. In other words, related party transactions in firms with political connections and existence influential members, could lead to abuse of company resources and therefore the earnings management. The purpose of this study, first, is examining the relationship between political connections and related party transactions, second, investigation the impact of political connections on relationship between the related party transactions and earnings management. In this paper, political connections are measured by factor analysis and including five variables: stock market value, assets book value, income taxes, number of employees and the insurance payment. In order to test the research hypotheses, we use 120 companies financial information in the Tehran Stock Exchange in the period 2010 to 2017 and analyze this information with multiple linear regression an panel data. The results showed a positive and significant relationship between political connections. also, not found significant relationship between related party transactions and earnings management, but with the addition of political connections, found positive relationship between the related party transactions and earnings management

One of the most important factors affecting financing issues as a challenge for companies is to maintain financial flexibility. Internal Financial flexibility is affected by the company's liquidity. The cash holding indicates the ability of a company to deal with the risks, which largely depends on changes in cash flow and dividend policy of the company. In order to measure the dividends adjustment speed, which is a benchmark for dividend smoothing, the rolling window regressions based on the Lintner model (1956) was used Faulkender and Wang (2006) method is applied for measuring the marginal value of cash, which is an indicator for measuring financial flexibility. According to the research constraints, 105 companies listed in Tehran Stock Exchange during the period of 2008-2018 using the STATA software have been investigated. The results of the research show that the marginal value of cash does not have a significant effect on the dividends adjustment speed. Also, the Liquidity shock has no effect on the relationship between the marginal value of cash and the dividends adjustment speed