The System of Economic-Statistical Indicators of the Analysis of Foreign Economic Relations of the Country: A Case Study on Syria

In modern conditions of globalization, the quality of static data of foreign economic relations of the country plays an important role in decision-making about the foreign economic sphere of the country. This is without their quality leading to wrong static analysis of the indicators of foreign economic relations and methods of evaluation. As a result, it is impossible for correct decision not to be made by the government. Also, there are questions about what are the important priorities in the development of foreign economic relations of the country. According to the analysis of static indicators of foreign economic relations of Syria before and during the crisis, we noted that there was a deterioration of all indicators of foreign economic relations due to armed conflict. This includes the increase in the external debt 2.75 times in 2014 compared with the period before the crisis, the decline in exports and imports, and the improvement of egovernment. In addition, work without high-quality cannot control foreign trade transactions

Optimising the value-at-risk model in banks in India to adequately quantify market risks in emerging markets

Market risk tends to be extreme in its development and violent in its impact. This study gives consideration to the case study of banks in India in optimising the value-at-risk (VaR) model in emerging markets believing that the case study of these banks is not just the story of individual banks but a window into the structural issues of the entire market risk models in emerging markets. This study uses the parametric method to optimise the value-at-risk model based on probabilities and mathematical expectations to adequately quantify the expected worst-case loss that a financial institution may sustain under normal market conditions, at a predefined confidence level, over a given time horizon and for a given asset portfolio after taking into consideration the expected recovery rate of assets. The recommendations set out in this study provide emerging markets with an optimised estimation of the value-at-risk model to adequately quantify market risk. Copyright © 2019 Inderscience Enterprises Ltd