Analyzing Stock in a Complex Market in accordance with the Portfolio Optimization Using Network Architecture

The present research was carried out aiming at analyzing stock in a complex market on the basis of portfolio optimization using network architecture. The statistical population of the study included 50 top stock firms in the last three months of 2019-2020(first three months 2020) and the financial information of these firms was analyzed. The present study calculated the centrality measures of each firm and then ranked them based on those results in regard to the total performance difference of each firm in comparison to all top firms including the performance of the firm under assessment and by emphasizing the standardized integrated performance criteria. Thus, the yield spread of the assessed item was used in making an investment decision in comparison to all other justified options. With reference to the centrality measure ranks, investing in Bandar Abbas Oil Refining Company with the first rank centrality measure was considered to be the best investment option, and investing in Glucosan company with the rank of 50 was the last choice for investment. In accordance with the former studies, the variables of profit volatility, capital return, firm value, market risk premium, stock profitability, financial structure, liquidity, and survival index were used in the model of the present research as the important factors affective stock portfolio optimization.