درخت حوزه‌های تخصصی

Objective Using a quantitative approach and a systematic methodology, advanced structural equation modelling techniques were applied to test the research hypotheses. In a possible sample of 98 experts and activists of entrepreneurship in Sistan and Baluchistan province, the observations were collected using a standard 32-items tool based on Likert scale. After screening the raw data, covariance-based confirmatory factor analysis was used to evaluate the validity, reliability and fittingness of the research model, and the hypotheses were tested in the form of a structural model. The results of convergent and divergent validity tests showed that the two indicators of the research model has validity. Also, the reliability tests indicated the generalizability of the research results at 85%. Also, all the research hypotheses were confirmed.Objective Using a quantitative approach and a systematic methodology, advanced structural equation modelling techniques were applied to test the research hypotheses. In a possible sample of 98 experts and activists of entrepreneurship in Sistan and Baluchistan province, the observations were collected using a standard 32-items tool based on Likert scale.

By intensifying sanctions against Islamic Republic of Iran, identification and development of mechanisms to sell crude oil has gained attention among most experts and oil industry activists. Limitations for financial transactions and settlements are one of the fundamental challenges in international oil transactions; thus, various solutions are proposed to solve the limitation. Using capability of virtual currencies is one of the proposed suggestions for petroleum transaction under sanctions but there is a research gap in finding whether and which one of these currencies are able to be used in petroleum transactions in present condition. In this study, performed by analysis and quantitative approach, indices are introduced for choosing a valid currency for international transactions, and subsequently are confirmed by experts. The indices are ranked by the experts through TOPSIS method and are studied on the most suitable virtual currencies to find the best suit for petroleum transactions. The results reveal that Bitcoin, Ethereum and Tether are respectively the best, second and third choice for this end. It is noteworthy that some experts might believe the virtual currency market size may not meet the high volume of crude oil transactions, making it unsuitable. Although current study has shown that there would be no problem in covering the whole petroleum market for Iran’s crude oil by virtual currencies platform, if the concerns remain, virtual currency platform could be used for selling Iran’s crude oil temporarily and partially through various channels.

In financial markets, the main component of risk management is liquidity risk. Asset and Liability Management (ALM) strategy is concerned with managing all risks. Asset and liability management seeks to manage liquidity risk, which refers to both the liquidity of markets and which assets can be translated into cash. The liquidity is importantly affected by the management of banks’ balance sheets. This paper contributes to the discussion by focusing on liquidity and asset and liability management by providing a theoretical framework to examine how the ALM could be reduced the liquidity risk in banking. We investigate the effect of ALM indicators on liquidity risk. We measure liquidity risk, and ALM with indicators approach, using financial statement in 2006-2018 and panel data approach. The results indicate that if asset and liability management improves, liquidity risk decrease and if the ratio of capital adequacy increases, the bank can better cover liquidity risk, and so increasing in capital adequacy will reduce liquidity risk. Deposit per shareholders increases the liquidity risk of banks. Interest rate increases liquidity risk. When profitability increases, liquidity risk will increase. The relation between liquidity risk and profitability is positive.