محمد توکلی محمدی

Regarding the contingency theory, the purpose of this research is to identify factors affecting the development of accounting and financial [management] procedures (AFP) for joint operating agreements in Iran’s oil and gas industry. To this end, at first, some partial factors were identified through a deep study of theoretical foundations. Subsequently, in order to identify environmental factors, a semi-structured interview was conducted with accounting and finance experts in oil and gas exploration and production companies whose competences were approved by the Ministry of Petroleum. Using the theoretical framework and the interview results, a questionnaire was set up and distributed in a wider range in order to add potentials and eliminate, modify, and finally rank the raised factors. The results showed that changes in laws and regulations, use of services in Iran’s oil and gas industry, changes in business practices, information technologies, the structure of the principal contract,  and conflicts among operational parties are the most important factors that should be taken into account in the formulation and development of AFP’s for these contracts in Iran’s oil and gas industry, and, in this regard, some suggestions are provided.  

The research on the Markowitz model and optimization of its portfolio using a variety of evaluation indicators and meta-beta-algorithms has always been the focus of attention of accounting and finance researchers. The results of studies carried out by various types of optimization methods are different in the Markowitz modified models. The purpose of this study is to measure the optimal portfolio and its corresponding return, with respect to the portfolio in the traditional Markowitz model, as well as to compare the position of the refining and petrochemical companies versus stock market outperformers, through integrating the operational criteria and the new indicators of liquidity using the genetic algorithm in the Markowitz model. Therefore, financial data related to the research variables for 35 cases of TSE-listed refinery and petrochemical companies from 2012 to 2016 fiscal years were extracted from Rahavard Novin database software and simulated by the genetic algorithm. The results show that returns on the stock portfolio optimized using the genetic algorithm and without considering the liquidity limitations and filters have a significant and positive difference with the return on the stock portfolios optimized with regard to the liquidity limitations and filters. Furthermore, the application of liquidity limitations and filters in the formation of optimal stock portfolios leads to a conservative increase in the choice of stocks (portfolio formation), which leads to a reduction in the risk and return of investment in such portfolios.