Suchergebnisse

The article is devoted to defining the economic cooperation between Russia and Greece in the context of the sanction measures and the ways to strengthen the integration process among the two countries. The authors analyze different economic cooperation measures between Russia and Greece as the subjects for this study. Firstly, they identified the reasons for the considerable elimination of Russian-Greek trade relations. Secondly, they presented a detailed description of a mutual economic cooperation scheme for the period 2014- 2016. Thirdly, they propose measures to stimulate economic cooperation between Russia and Greece. As a result of this research, the authors concluded that we should not expect a major breakthrough in the external economic cooperation between Russia and Greece in the coming years, at least, before overcoming the economic depression in the economies of the two countries and the complete removal of sanction restrictions between Russia and the European Union. ; peer-reviewed

The study improved budgeting efficiency at industrial enterprises with evidence from Russia, Italy, and the Middle East. In the era of contemporary globalization and technological advancement, a budgeting system holds paramount significance in the effective management of the financial operations and activities, enhancing the overall efficiency of the firm's cash management, mitigating the risk of finance misallocation, and improving the overall financial performance of the enterprise. However, despite its effectiveness, there is a lack of evidence supporting budgeting automation and its efficiency in managing industrial enterprises. More so, limited theoretical and practical relevance is found in the context of Russia, Italy, and the Middle East. This research intended to fill the existing research gap where a qualitative research design was opted. Primary data were collected from the budgeting heads of 3 pharmaceutical firms, each located in Russia, Italy, and Iran. In-depth interviews with 3 budgeting heads identified that the conventional incremental budgeting system needed amendment and replacement with a consolidated and contemporary yet flexible approach to bring radical improvements at the macro-environment level within the industrial enterprise. The key findings led to the development of a model to improve budgeting efficiency, comprising three components: information and analytical/accounting support for budgeting, production accounting information, and a combination of the regulated operation prices. The consolidation of these three components can yield budgeting efficiency. Doi: 10.28991/ESJ-2023-07-01-013 Full Text: PDF

This paper identifies hidden patterns between trading volumes and the market value of an asset. Based on open market data, we try to improve the existing corpus of research using new, innovative neural network training methods. Dividing into two independent models, we conducted a comparative analysis between two methods of training Proximal Policy Optimization (PPO) models. The primary difference between the two PPO models is the data. To showcase the drastic differences the PPO model makes in market conditions, one model uses historical data from Binance trading history as a data sample and the trading pair BNB/USDT as a predicted asset. Another model, apart from purely price fluctuations, also draws data on trading volume. That way, we can clearly illustrate what the difference can be if we add additional markers for model training. Using PPO models, the authors conduct a comparative analysis of prediction accuracy, taking the sequence of BNB token values and trading volumes on 15-minute candles as variables. The main research question of this paper is to identify an increase in the accuracy of the PPO model when adding additional variables. The primary research gap that we explore is whether PPO models specifically trained on highly volatile assets can be improved by adding additional markers that are closely linked. In our study, we identified the closest marker, which is a trading volume. The study results show that including additional parameters in the form of trading volume significantly reduces the model's accuracy. The scientific contribution of this research is that it shows in practice that the PPO model does not require additional parameters to form accurately predicting models within the framework of market forecasting. Doi: 10.28991/ESJ-2023-07-04-012 Full Text: PDF

The study determined the influence of the Central Bank Digital Currency (CBDC) on the financial markets during the COVID-19 pandemic. It investigated if the CBDC had the potential to improve the efficiency and lending power of the financial system. The research relied on secondary data from a range of financial markets, such as the FTSE, MSCI, Gold Index, S&P 500, and Dow Jones, collected during the COVID-19 period. The quantitative approach was employed using the statistical software SPSS to perform descriptive statistics and regression analysis. The results revealed that the financial markets were negatively impacted by COVID-19, but the CBDC saw a higher level of development during the same period. The statistical analysis showed a positive and significant relationship between the CBDC Attention Index, the Uncertainty Index, and various financial market indices, with regression analysis indicating a significant impact of the CBDC Attention Index on all financial market indices except the Gold Index. However, this study has some limitations, including its limited scope of financial markets. Despite this, these results have important implications for academics and policymakers. It is recommended to increase the use of CBDC through well-crafted policies and legislation to fully realize its potential impact on the financial system. Doi: 10.28991/ESJ-2023-SPER-013 Full Text: PDF

Background: Corporate social responsibility (CSR) has a great influence on the sustainability of company development, so it can be considered a business model for business effectiveness. Objective: The objective of the research is to determine the mutual influence of real-estate companies' activities and CSR effectiveness in different countries. This study examines indicators for assessing companies' financial stability, CSR, and working capital management's influence on the activity effectiveness of real-estate companies. Methods/Analysis: Questionnaires, the principal component method, the Sobel test, and linear regression analysis are used to evaluate the relationship between CSR and the business performance of autocratic management-style companies. The authors' algorithm for assessing a company's financial stability, CSR, and capital management, which affect the efficiency of companies, is proposed. Findings: Empirical analysis has shown that management has no mediating effect on CSR and enterprise performance relationships for companies with high financial stability and working capital, though it has a stimulating effect for low financial stability companies. CSR and business performance have positive relationships in companies, but despite financial stability growing, the autocratic leadership style reduces interest in CSR development. This paper conceptualizes the impacts of CSR on the effectiveness of companies. Novelty: The novelty of this study is to create theoretical and practical provisions aimed at laws and regulations. Doi: 10.28991/ESJ-2023-07-03-08 Full Text: PDF