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      • Open Access Article

        1 - Effect of Dividend Reduction and Corporate Tax Avoidance on Stock price crash risk (Negative skewness approach and low volatility approach)
        parviz dindar farkoushy Hossein Panahian Hossein jabbari
        The purpose of this study is to investigate the effect of dividend reduction and corporate tax avoidance on the Stock price crash risk. Two measures of negative skewness coefficient and low to high volatility were used to measure the stock price crash risk. In this rega More
        The purpose of this study is to investigate the effect of dividend reduction and corporate tax avoidance on the Stock price crash risk. Two measures of negative skewness coefficient and low to high volatility were used to measure the stock price crash risk. In this regard, the financial data of 131 companies during the period 2014-2019 have been extracted and analyzed by systematic elimination method as a statistical sample of research. Statistical analysis was performed using Eviews9 software at 95% confidence level and panel data and linear regression model were used to test the hypotheses. F-Limer (Chow) and Hausman statistics were used to determine how the regressions fit. The normality of the error distributions was evaluated by the Jarkue-Bera test, the residual independence was estimated by the Durbin-Watson statistic, and the test of variance by the Bartlett test. The results showed that there is no significant relationship between dividend reduction and the stock price crash risk according to both mentioned criteria in companies. Based on the results of the third hypothesis test (taking into account the first index of stock price risk), the ratio of independent directors intensified the direct relationship between the decrease in dividend yield and the Stock price crash risk. Finally, the level of tax avoidance is directly related to stock price crash risk in companies. This result shows that tax avoidance has led to the accumulation of bad news in the company, which with the disclosure of this news leads to a decrease in stock prices. Manuscript profile
      • Open Access Article

        2 - Evaluating the herding behavior of individual investors in the Iranian capital market and the factors affecting it with a complex network approach
        Alireza Borhanian Ghanad Hasan Ghodrati Ghazaani Hossein Jabbari Hosein Panahian
        The present study aimed to evaluate the smooth behavior of individual investors in the Iranian capital market and the factors affecting it with a complex network approach. The statistical population of this research is limited to explaining the model, decision-making, a More
        The present study aimed to evaluate the smooth behavior of individual investors in the Iranian capital market and the factors affecting it with a complex network approach. The statistical population of this research is limited to explaining the model, decision-making, and selection of the optimal capital combination including 246 mutual funds on the Tehran Stock Exchange. The research method is based on the factors identified from the research sources and according to Christie and Huang model with emphasis on complex networks, and Eviews and Matlab software to explain the model in which according to the research variables, and changes in cross-sectional stock returns of the method Arch and Garch have been used to calculate the herd-like behavior with a complex network approach. Finally, the results of this study show that the herd behavior in individual and institutional investors in the Iranian market has been approved in the period 1393 to 1398. It can be clearly seen. Manuscript profile
      • Open Access Article

        3 - Combining Multi-Criteria Decision Making and Mathematical Optimization as a Basis for Capital Decision Making
        Ali Sepehri Hossein Jabbari Hassan Ghodrati Ghazaani Hossein Panahian
        The present study was conducted with the aim of combining multi-criteria decision making approach and mathematical optimization in evaluating financial efficiency and refining the affecting factors. In this research, based on a quantitative analysis, a distinction is ma More
        The present study was conducted with the aim of combining multi-criteria decision making approach and mathematical optimization in evaluating financial efficiency and refining the affecting factors. In this research, based on a quantitative analysis, a distinction is made between capital decision supporting and decision-making, and data envelopment analysis has been used in selecting the investment option. The type of research has been done in terms of theoretical-applied purpose and with survey research design. Using the fuzzy Dematel method, the most effective factors of financial efficiency was: 1) Current ratio, 2) Liquidity of assets, 3) Ownership ratio, 4) Operating cost rate, 5) Firm size, 6) Operating return on assets, 7) Net return Assets, 8) return on equity, 9) current asset turnover, 10) average monthly return, 11) daily price to earnings per share, 12) earnings growth. The statistical population of the research in the refinement of inputs and outputs includes professors and experts and, 183 selected companies of Tehran Stock Exchange in the selection of the optimal capital combination. The evaluation of financial efficiency led to the identification of 42 companies as justified investment options. Manuscript profile
      • Open Access Article

        4 - Ranking P/E Predictor Factors In Tehran Stock Exchange With Using The Harmony Search Meta Heuristic Algorithm
        Mozhgan Safa Hossein Panahian
        The price to Earnings ratio (PE) is one of the oldest and most commonly used tools for stock valuation.  Although P / E calculation is very simple, its interpretation is practically difficult. In certain circumstances, this is a very rational ratio, and at other ti More
        The price to Earnings ratio (PE) is one of the oldest and most commonly used tools for stock valuation.  Although P / E calculation is very simple, its interpretation is practically difficult. In certain circumstances, this is a very rational ratio, and at other times it is completely meaningless. Hence, investors often use this term incorrectly and in their decisions weigh too much. The important thing that can help investors analyze this ratio is to pay attention to the criteria approved by financial experts. Based on the analysis of financial ratios, there are various methods and techniques for determining the factors affecting the price / profit ratio (P / E) of stocks .One of these methods is to use the key variables of the company and its fundamental analysis .In this research, the Harmonic Cross-Innovative Algorithm (HS) has been used to examine the effective measures on the P / E ratio .For this purpose, a sample of 87 companies during the 10-year period (2006-2015) was selected from listed companies in Tehran Stock Exchange . By studying theoretical fundamentals and research background, 27 financial variables that were effective on the P / E ratio were selected. The outputs of the Harmonic Ranking algorithm showed that stock returns, P / B and P / S ratios had the highest impact and coin prices had the least effect on P / E ratios, respectively.   Manuscript profile