Moslem Nilchi; Daryush Farid; Moslem Peymany; Hamidreza Mirzaei
Abstract
Abstract Volatility and risk measurement are essential ...
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Abstract Volatility and risk measurement are essential parameters in risk management programs that can affect economic activities and public confidence in the stock market. Also, these two are the keys in the studies that connect the stock market, economic growth, and other financial factors. In recent years, due to the instability in the Tehran Stock Exchange, controlling the adverse effects caused by the volatility of stock prices, predicting and modeling price dynamics, and measuring risk have become necessary for the participants in this market. In the present research, the class of hidden Markovian index models of conditional variance Heteroskedasticity (HM-GARCH) is used to predict the volatility of stock prices and accounts of the Tehran Stock Exchange. For a comprehensive review, the models are selected to include the characteristics of volatility clustering, asymmetry in volatility (leverage effect), and heavy tail of stock returns (with t-student distribution). Based on RMSE and AME criteria, the HM-EGARCH-Normal Exponential GARCH model with normal distribution is more effective than other models in predicting stock market volatility. Therefore, leverage is necessary to analyze stock market risks using hidden Markov models, but heavy tail distribution is unnecessary. The results indicate that the HM-EGARCH-Normal model appropriately assesses volatility and improves market transparency and risk management forecasts. Also, the VaR and CVaR market risk assessment post-tests using Kupiec and DQ tests do not show evidence of overestimation or underestimation.
Hamzeh Mohammadi Khoshouei; Esmail Kazemi; Mohsen Dastgir
Abstract
This study aimed to develop an internal control model for the Iranian Social Security Organization with a risk management approach. This exploratory study is applied in terms of objective, and the statistical population comprised 340 employees in the financial department of the Iranian Social Security ...
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This study aimed to develop an internal control model for the Iranian Social Security Organization with a risk management approach. This exploratory study is applied in terms of objective, and the statistical population comprised 340 employees in the financial department of the Iranian Social Security Organization. The data was collected using interviews and questionnaires, and the hypotheses were tested with inferential statistics and structural equation tests. The results showed that the internal control factors of the Iranian Social Security Organization include the income bank system, the legal obligations system, compensation, the financial bookkeeping system, the movable and immovable property system, the financial management system, and check issuance requirements. The results also showed that the factors affecting internal controls are among the factors influencing risk management. Considering the extent of branches, dimensions, various services including (retirement, disability) and the size and volume of financial operations, as well as the very high budget of the Social Security Organization (for example, in 1401, the budget of the Social Security Organization is 500 thousand billion Rials), there are many factors on the controls Empty and effective risk management. The most important factors affecting the Social Security Organization's internal controls' efficacy are the financial bookkeeping system, Payroll system, And Legal requirements for issuing checks.
Hassan Galibaf Asl; Masoomeh Torkaman Ahmadi
Abstract
Increased government revenues and improved economic efficiency are the main goals of implementing privatization and regime switch in Iran. Information efficiency in the capital market can also be considered as a milestone for increased government revenues and improved economic efficiency. In this study, ...
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Increased government revenues and improved economic efficiency are the main goals of implementing privatization and regime switch in Iran. Information efficiency in the capital market can also be considered as a milestone for increased government revenues and improved economic efficiency. In this study, according to the results of regime switching GARCH models, it is determined that stock returns have had different regimes during the study period (2000-2015). According to the results of the estimation of the three-regime GARCH model, the most important events of the Article 44 of the Constitution in the direction of privatization in Iran's economy and its implementation during the study period have been effective in switching the regimes of the fluctuating process of efficiency. Market risk has also been identified as a factor affecting regime switching in the stock return process, which is due to the behavior of stockholders in low-fluctuation regimes compared to high-fluctuation regimes and liquidity. Also, according to the Kalman filter model, poor performance has been established in Tehran Stock Exchange, which indicates that privatization policy has been effective in improving the efficiency of this marketplace. Using the technique related to the detection of structural failure in the liquidity variable as one of the signs of the stock market depth, the failure of this series was detected by virtue of the implementation of privatization, and it was discovered that privatization increased market liquidity as one of the principles of market development.