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        1 - The Development of Forecasting Model for Coherent Risk in Exchange Companies: Accounting data Approach
        Hosein Aryaeinezhad Arash Naderian Hosein Didekhani Ali Khozain
        Iran Stock Exchange has developed a lot in recent years. Today, the importance of forecasting and its benefits for decision-making and policy-making from various dimensions, especially in the field of investment, is not hidden from anyone. Risk is one of the first conce More
        Iran Stock Exchange has developed a lot in recent years. Today, the importance of forecasting and its benefits for decision-making and policy-making from various dimensions, especially in the field of investment, is not hidden from anyone. Risk is one of the first concerns of investors and is an important criterion in decision making. Value at risk as a risk measure has given way to measuring a variety of risks, but despite the high efficiency of this model due to some shortcomings, including the lack of aggregation feature of a coherent risk measure. Conditional Risk Value (CvaR) is considered as a coherent risk measure that has recently been welcomed and has been proposed as a useful tool for measuring risk.To predict the risk, various models have been presented so far, each of which has its strengths and weaknesses. Some of them are weak in terms of lack of appropriate theoretical foundations and others have not shown proper efficiency in practice despite using appropriate theoretical foundations. Provide adequate empirical risk assessment that helps both investors and anticipate unexpected risks that may threaten companies. In recent years, much attention has been paid to the application of neural network models and hybrid models. In the present study, a combined model of coherent risk prediction is presented and developed using fuzzy neural network inference system (ANFIS) based on Markov switching models and Garch family models. Manuscript profile
      • Open Access Article

        2 - Provide a multi-objective - multi-objective mathematical model for investing in a portfolio under a hybrid risk measure
        ahmad dadashpour omrani syed ali nabavi chashmi erfan memarian
        What has been said so far in the financial calculations and in the field of stock portfolio selection is that it prioritizes the existing investments in terms of degree of risk and return, so that investors can, considering the financial possibilities and Their risk lev More
        What has been said so far in the financial calculations and in the field of stock portfolio selection is that it prioritizes the existing investments in terms of degree of risk and return, so that investors can, considering the financial possibilities and Their risk level to form their preferred stock portfolio. Therefore, in this research, to present a multi-objective mathematical model for measuring stock portfolio risk by combining return metrics with two risk metrics, namely half variance and conditional risk exposure value along with transaction cost limit for fifteen shares of the top fifty stocks. The period of twelve months ending in 1398 has been discussed in the context of the Iranian capital market. According to the tables and graphs obtained from solving this type of model with the help of dynamic planning in different investment times, we will see better results in the efficiency of investors' decisions by spending less time and money and consequently more profitability of the portfolio. Manuscript profile