Presenting a fuzzy model for fuzzy portfolio optimization with the mean absolute deviation risk function

The main purpose of this paper is portfolio optimization with the use of fuzzy method based on the mean absolute deviation risk function in firms listed in Tehran Stock Market. In the present research, for the purpose of fuzzy portfolio optimization the stock portfolio Value at Risk criterion and for calculation of this value the parametric method and for fuzzy optimization also the Hybrid intelligent algorithms (genetic algorithms and neural networks) have been used. For selecting the portfolio with 15 during the research time span (2005-2011) fuzzy optimization based on the following six criteria were used including Asymmetric Value at Risk, Symmetric Value at Risk , Interval Value at Risk (interval of 5%-95%), Interval Value at Risk (interval of 10%-90%), and Normal Value at Risk. Since the calculated probability ratio statistic Kupiec based on fuzzy optimization for the 6 above mentioned models is larger than the obtained critical value from chi-square distribution at the confidence level of 95%, the research hypothesis stating that the application of fuzzy optimization method improves the efficiency of portfolio in the actual world problems with lack of certainty was confirmed. Also, the results of the Kupiec probability ratio statistic indicate that the model of value at risk based on the mean absolute deviation risk function (MVAR) is more successful and have less failure comparing to other models, hence; the research hypothesis stating that fuzzy variables have a higher ability in modeling asymmetric uncertainties in financial domains is also confirmed

Presenting a fuzzy model for fuzzy portfolio optimization with the mean absolute deviation risk function

The main purpose of this paper is portfolio optimization with the use of fuzzy method based on the mean absolute deviation risk function in firms listed in Tehran Stock Market. In the present research, for the purpose of fuzzy portfolio optimization the stock portfolio Value at Risk criterion and for calculation of this value the parametric method and for fuzzy optimization also the Hybrid intelligent algorithms (genetic algorithms and neural networks) have been used. For selecting the portfolio with 15 during the research time span (2005-2011) fuzzy optimization based on the following six criteria were used including Asymmetric Value at Risk, Symmetric Value at Risk , Interval Value at Risk (interval of 5%-95%), Interval Value at Risk (interval of 10%-90%), and Normal Value at Risk. Since the calculated probability ratio statistic Kupiec based on fuzzy optimization for the 6 above mentioned models is larger than the obtained critical value from chi-square distribution at the confidence level of 95%, the research hypothesis stating that the application of fuzzy optimization method improves the efficiency of portfolio in the actual world problems with lack of certainty was confirmed. Also, the results of the Kupiec probability ratio statistic indicate that the model of value at risk based on the mean absolute deviation risk function (MVAR) is more successful and have less failure comparing to other models, hence; the research hypothesis stating that fuzzy variables have a higher ability in modeling asymmetric uncertainties in financial domains is also confirmed

The effect of dividend policy on stock price volatility and investment decisions

The allocation of a part of the profit as the dividends considered as one of the significant issues in financial management. Through applying this policy, the main purpose is the capital maximization of stockholders by receiving the dividend and increasing the stock price. The purpose of the present research is to assess the effect of dividend policy on stock price volatility and investment decisions. The statistical community of the present research includes the admitted firms into the Tehran Stock Exchange of which only 65 firms have been selected after the application of the considered criteria. The time of the research is three years from 2007 to 2012 and correlation analysis method and multiple regressions were used in order to analyze the data and test the hypotheses. The research results indicate that the dividend policy has a significant effect on stock price volatility in a short time. However, the dividend policy does not have a significant effect on stock price volatility in a long time. Moreover, the dividend policy does not have a significant effect on investment decisions in terms of cash and accrual

Presenting a fuzzy model for fuzzy portfolio optimization with the mean absolute deviation risk function

The main purpose of this paper is portfolio optimization with the use of fuzzy method based on the mean absolute deviation risk function in firms listed in Tehran Stock Market. In the present research, for the purpose of fuzzy portfolio optimization the stock portfolio Value at Risk criterion and for calculation of this value the parametric method and for fuzzy optimization also the Hybrid intelligent algorithms (genetic algorithms and neural networks) have been used. For selecting the portfolio with 15 during the research time span (2005-2011) fuzzy optimization based on the following six criteria were used including Asymmetric Value at Risk, Symmetric Value at Risk , Interval Value at Risk (interval of 5%-95%), Interval Value at Risk (interval of 10%-90%), and Normal Value at Risk. Since the calculated probability ratio statistic Kupiec based on fuzzy optimization for the 6 above mentioned models is larger than the obtained critical value from chi-square distribution at the confidence level of 95%, the research hypothesis stating that the application of fuzzy optimization method improves the efficiency of portfolio in the actual world problems with lack of certainty was confirmed. Also, the results of the Kupiec probability ratio statistic indicate that the model of value at risk based on the mean absolute deviation risk function (MVAR) is more successful and have less failure comparing to other models, hence; the research hypothesis stating that fuzzy variables have a higher ability in modeling asymmetric uncertainties in financial domains is also confirmed

The effect of dividend policy on stock price volatility and investment decisions

The allocation of a part of the profit as the dividends considered as one of the significant issues in financial management. Through applying this policy, the main purpose is the capital maximization of stockholders by receiving the dividend and increasing the stock price. The purpose of the present research is to assess the effect of dividend policy on stock price volatility and investment decisions. The statistical community of the present research includes the admitted firms into the Tehran Stock Exchange of which only 65 firms have been selected after the application of the considered criteria. The time of the research is three years from 2007 to 2012 and correlation analysis method and multiple regressions were used in order to analyze the data and test the hypotheses. The research results indicate that the dividend policy has a significant effect on stock price volatility in a short time. However, the dividend policy does not have a significant effect on stock price volatility in a long time. Moreover, the dividend policy does not have a significant effect on investment decisions in terms of cash and accrual

The effect of dividend policy on stock price volatility and investment decisions

The allocation of a part of the profit as the dividends considered as one of the significant issues in financial management. Through applying this policy, the main purpose is the capital maximization of stockholders by receiving the dividend and increasing the stock price. The purpose of the present research is to assess the effect of dividend policy on stock price volatility and investment decisions. The statistical community of the present research includes the admitted firms into the Tehran Stock Exchange of which only 65 firms have been selected after the application of the considered criteria. The time of the research is three years from 2007 to 2012 and correlation analysis method and multiple regressions were used in order to analyze the data and test the hypotheses. The research results indicate that the dividend policy has a significant effect on stock price volatility in a short time. However, the dividend policy does not have a significant effect on stock price volatility in a long time. Moreover, the dividend policy does not have a significant effect on investment decisions in terms of cash and accrual

Activity-based costing and its impact on management accounting

It would be impossible to improve productivity in the industrial and service units, both in the governmental and non-management firms without changing the current system into an effective one. There are needs for changes in management structure and new tools, including accounting management. Unfortunately, what the majority of business managers have considered as accounting is financial accounting, whose duty is to register, classify, and summarize financial events and they should provide periodic reports to show the financial position and results of firms in the world. However, current competitive dependence on financial accounting data cannot be adequate guidelines for managers and decision makers. In this paper, an overview of the ABC and its brief history and analysis related to other aspects of this process is presented and the use of tools and an efficient development of relevant strategies and challenges are discussed

Quality of Financial Reporting, Investment and Quality of Disclosure: With Stressing on Type of FinancingQuality of Financial Reporting, Investment and Quality of Disclosure: With Stressing on Type of Financing

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